{"title":"Robots \u0026 Robot Arms","description":"\u003cp\u003eRobot systems and robotic arms for development, research and automation. Includes complete robots and arm products across supported platforms. Choose by application, degrees of freedom, payload, reach, software support and control interface. Check whether controllers, power supplies and end effectors are included or purchased separately.\u003c\/p\u003e","products":[{"product_id":"so-arm101-low-cost-ai-arm-servo-motor-kit-pro-for-lerobot-without-3d-printed-parts","title":"SO-ARM101 Robot Arm Servo Motor Kit Pro for LeRobot (Without 3D‑Printed Parts) – Open‑Source, 6‑Axis, UART, 12‑bit Encoder","description":"\u003ch2\u003eOverview\u003c\/h2\u003e\n\u003cp\u003eSO-ARM101 is a Robot Arm Servo Motor Kit Pro optimized for imitation and reinforcement learning with LeRobot and Hugging Face projects. This open-source, low-cost kit includes servo motors, adapter boards, and cables for a complete leader–follower arm setup. The kit is DIY-friendly and designed for rapid prototyping with abundant resources. Important: the motor kit does not include 3D-printed parts; order the 3D-printed skeleton together if needed. Seeed Studio provides hardware for LeRobot.\u003c\/p\u003e\n\u003ch2\u003eKey Features\u003c\/h2\u003e\n\u003ch3\u003eWhat’s new in SO-ARM101\u003c\/h3\u003e\n\u003cul\u003e\n\u003cli\u003eWiring optimization: mitigates disconnections previously seen at joint 3 and removes range-of-motion limits.\u003c\/li\u003e\n\u003cli\u003eOptimized leader arm gear ratios: improved performance without external gearboxes.\u003c\/li\u003e\n\u003cli\u003eNew functionality: leader arm can follow the follower arm in real time to support RL policies and human intervention.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch3\u003eSO-ARM10x series highlights\u003c\/h3\u003e\n\u003cul\u003e\n\u003cli\u003eOpen-source and low-cost solution from TheRobotStudio.\u003c\/li\u003e\n\u003cli\u003eIntegration with the LeRobot platform (PyTorch-based datasets, models, tools for imitation learning and reinforcement learning).\u003c\/li\u003e\n\u003cli\u003eComprehensive resources: assembly, calibration, testing, data collection, training, and deployment guides.\u003c\/li\u003e\n\u003cli\u003eCompatible with Nvidia reComputer Mini J4012 Orin NX 16 GB.\u003c\/li\u003e\n\u003cli\u003e6-axis robotics arms (leader and follower) shown in kit materials.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch2\u003eSpecifications\u003c\/h2\u003e\n\u003ctable style=\"width: 100.059%;\"\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd style=\"width: 32.934%;\"\u003eType\u003c\/td\u003e\n\u003ctd style=\"width: 66.7679%;\"\u003eSO-ARM101 Arm Kit Pro\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"width: 32.934%;\"\u003eLeader Arm motors (7.4V)\u003c\/td\u003e\n\u003ctd style=\"width: 66.7679%;\"\u003e1× 1:345 gear ratio (No.2 joint); 2× 1:191 (No.1 \u0026amp; No.3); 3× 1:147 (No.4, No.5 \u0026amp; No.6 gripper)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"width: 32.934%;\"\u003eFollower Arm\u003c\/td\u003e\n\u003ctd style=\"width: 66.7679%;\"\u003eSame as SO-ARM100 Pro\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"width: 32.934%;\"\u003ePower supply (DC 5.5mm*2.1mm)\u003c\/td\u003e\n\u003ctd style=\"width: 66.7679%;\"\u003e12V2A for follower arm; 5V4A for leader arm\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"width: 32.934%;\"\u003eAngle sensor\u003c\/td\u003e\n\u003ctd style=\"width: 66.7679%;\"\u003e12-bit magnetic encoder\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"width: 32.934%;\"\u003eRecommended operating temperature\u003c\/td\u003e\n\u003ctd style=\"width: 66.7679%;\"\u003e0℃～40℃\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"width: 32.934%;\"\u003eCommunication method\u003c\/td\u003e\n\u003ctd style=\"width: 66.7679%;\"\u003eUART\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"width: 32.934%;\"\u003eControl method\u003c\/td\u003e\n\u003ctd style=\"width: 66.7679%;\"\u003ePC\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003ch2\u003eComparison\u003c\/h2\u003e\n\u003ctable class=\"p_2981_table\"\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd colspan=\"5\" rowspan=\"1\" width=\"603.4\"\u003e\n\u003cp\u003e\u003cspan data-font-family=\"default\"\u003eSO-ARM10\u003c\/span\u003e\u003cspan data-font-family=\"default\"\u003ex\u003c\/span\u003e\u003cspan\u003e \u003c\/span\u003e\u003cspan data-font-family=\"default\"\u003eLow-Cost\u003cspan\u003e \u003c\/span\u003e\u003c\/span\u003e\u003cspan data-font-family=\"default\"\u003eAI Arm Kit\u003c\/span\u003e\u003cspan data-font-family=\"default\"\u003e\u003cspan\u003e \u003c\/span\u003eand Arm Kit Pro\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd colspan=\"1\" rowspan=\"2\" width=\"87.33333333333333\"\u003e\n\u003cp\u003e\u003cspan data-font-family=\"default\"\u003eType\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd colspan=\"2\" rowspan=\"1\" width=\"243.8\"\u003e\n\u003cp\u003e\u003cspan data-font-family=\"default\"\u003eSO-ARM100\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd colspan=\"2\" rowspan=\"1\" width=\"272.26666666666665\"\u003e\n\u003cp\u003e\u003cstrong\u003e\u003cspan data-font-family=\"default\"\u003eSO-ARM101\u003c\/span\u003e\u003c\/strong\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd colspan=\"1\" rowspan=\"1\" width=\"115.06666666666666\"\u003e\n\u003cp\u003e\u003cspan data-font-family=\"default\"\u003eArm Kit\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd colspan=\"1\" rowspan=\"1\" width=\"128.73333333333332\"\u003e\n\u003cp\u003e\u003cspan data-font-family=\"default\"\u003eArm Kit Pro\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd colspan=\"1\" rowspan=\"1\" width=\"137.13333333333333\"\u003e\n\u003cp\u003e\u003cstrong\u003e\u003cspan data-font-family=\"default\"\u003eArm Kit\u003c\/span\u003e\u003c\/strong\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd colspan=\"1\" rowspan=\"1\" width=\"135.13333333333333\"\u003e\n\u003cp\u003e\u003cspan data-font-family=\"default\"\u003eArm Kit Pro\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd colspan=\"1\" rowspan=\"3\" width=\"87.33333333333333\"\u003e\n\u003cp\u003e\u003cspan data-font-family=\"default\"\u003eLeader Arm\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd colspan=\"1\" rowspan=\"4\" width=\"115.06666666666666\"\u003e\n\u003cp\u003e\u003cspan data-font-family=\"default\"\u003e12x (7.4V) 1:345 gear ratio motors for all joints\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd colspan=\"1\" rowspan=\"4\" width=\"128.73333333333332\"\u003e\n\u003cp\u003e\u003cspan data-font-family=\"default\"\u003e12x (12V) 1:345 gear ratio motors for all joints\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd colspan=\"2\" rowspan=\"1\" width=\"272.26666666666665\"\u003e\n\u003cp\u003e\u003cstrong\u003e\u003cspan data-font-family=\"default\"\u003e1x (7.4V) 1:345 gear ratio motor for No.2 joint\u003c\/span\u003e\u003c\/strong\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd colspan=\"2\" rowspan=\"1\" width=\"272.26666666666665\"\u003e\n\u003cp\u003e\u003cstrong\u003e\u003cspan data-font-family=\"default\"\u003e2x (7.4V) 1:191 gear ratio motors for No.1 and No.3 joints\u003c\/span\u003e\u003c\/strong\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd colspan=\"2\" rowspan=\"1\" width=\"272.26666666666665\"\u003e\n\u003cp\u003e\u003cstrong\u003e\u003cspan data-font-family=\"default\"\u003e3x (7.4V) 1:147 gear ratio motors for No.4, No.5 joints and the No.6 gripper\u003c\/span\u003e\u003c\/strong\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd colspan=\"1\" rowspan=\"1\" width=\"87.33333333333333\"\u003e\n\u003cp\u003e\u003cspan data-font-family=\"default\"\u003eFollower Arm\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd colspan=\"1\" rowspan=\"1\" width=\"137.13333333333333\"\u003e\n\u003cp\u003e\u003cstrong\u003e\u003cspan data-font-family=\"default\"\u003eSame as SO-ARM100\u003c\/span\u003e\u003c\/strong\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd colspan=\"1\" rowspan=\"1\" width=\"135.13333333333333\"\u003e\n\u003cp\u003e\u003cspan data-font-family=\"default\"\u003eSame as SO-ARM100 Pro\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd colspan=\"1\" rowspan=\"2\" width=\"87.33333333333333\"\u003e\n\u003cp\u003e\u003cspan data-font-family=\"default\"\u003ePower Supply\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd colspan=\"1\" rowspan=\"2\" width=\"115.06666666666666\"\u003e\n\u003cp\u003e\u003cspan data-font-family=\"default\"\u003e5.5mm*2.1mm DC 5V4A\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd colspan=\"1\" rowspan=\"2\" width=\"128.73333333333332\"\u003e\n\u003cp\u003e\u003cspan data-font-family=\"default\"\u003e5.5mm*2.1mm DC 1\u003c\/span\u003e\u003cspan data-font-family=\"default\"\u003e2V\u003c\/span\u003e\u003cspan data-font-family=\"default\"\u003e2\u003c\/span\u003e\u003cspan data-font-family=\"default\"\u003eA\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd colspan=\"1\" rowspan=\"2\" width=\"137.13333333333333\"\u003e\n\u003cp\u003e\u003cstrong\u003e\u003cspan data-font-family=\"default\"\u003e5.5mm*2.1mm DC 5V4A\u003c\/span\u003e\u003c\/strong\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd colspan=\"1\" rowspan=\"1\" width=\"135.13333333333333\"\u003e\n\u003cp\u003e\u003cspan data-font-family=\"default\"\u003e5.5mm*2.1mm DC 1\u003c\/span\u003e\u003cspan data-font-family=\"default\"\u003e2V2A For Follower Arm\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd colspan=\"1\" rowspan=\"1\" width=\"135.13333333333333\"\u003e\n\u003cp\u003e\u003cspan data-font-family=\"default\"\u003e5.5mm*2.1mm DC 5V4A For Leader Arm\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd colspan=\"1\" rowspan=\"1\" width=\"87.33333333333333\"\u003e\n\u003cp\u003e\u003cspan data-font-family=\"default\"\u003eAngle sensor\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd colspan=\"4\" rowspan=\"1\" width=\"516.0666666666667\"\u003e\n\u003cp\u003e\u003cstrong\u003e\u003cspan data-font-family=\"default\"\u003e12-bit magnetic encoder\u003c\/span\u003e\u003c\/strong\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd colspan=\"1\" rowspan=\"1\" width=\"87.33333333333333\"\u003e\n\u003cp\u003e\u003cspan data-font-family=\"default\"\u003eRecommended Operating\u003cspan\u003e \u003c\/span\u003e\u003c\/span\u003e\u003cspan data-font-family=\"default\"\u003eTemperature Range\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd colspan=\"4\" rowspan=\"1\" width=\"516.0666666666667\"\u003e\n\u003cp\u003e\u003cstrong\u003e\u003cspan data-font-family=\"default\"\u003e0℃～40℃\u003c\/span\u003e\u003c\/strong\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd colspan=\"1\" rowspan=\"1\" width=\"87.33333333333333\"\u003e\n\u003cp\u003e\u003cspan data-font-family='Inter, -apple-system, BlinkMacSystemFont, \"Segoe UI\", \"SF Pro SC\", \"SF Pro Display\", \"SF Pro Icons\", \"PingFang SC\", \"Hiragino Sans GB\", \"Microsoft YaHei\", \"Helvetica Neue\", Helvetica, Arial, sans-seri'\u003eCommunication Method\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd colspan=\"4\" rowspan=\"1\" width=\"516.0666666666667\"\u003e\n\u003cp\u003e\u003cstrong\u003e\u003cspan data-font-family=\"default\"\u003eUART\u003c\/span\u003e\u003c\/strong\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd colspan=\"1\" rowspan=\"1\" width=\"87.33333333333333\"\u003e\n\u003cp\u003e\u003cspan data-font-family=\"default\"\u003eControl Method\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd colspan=\"4\" rowspan=\"1\" width=\"516.0666666666667\"\u003e\n\u003cp\u003e\u003cstrong\u003e\u003cspan data-font-family=\"default\"\u003ePC\u003c\/span\u003e\u003c\/strong\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003cp\u003e \u003c\/p\u003e\n\u003ch2\u003eWhat’s Included\u003c\/h2\u003e\n\u003cul\u003e\n\u003cli\u003e7.4v STS3215 Servo Motor 1:345 gear rate ×1\u003c\/li\u003e\n\u003cli\u003e7.4v STS3215 Servo Motor 1:191 gear rate ×2\u003c\/li\u003e\n\u003cli\u003e7.4v STS3215 Servo Motor 1:145 gear rate ×3\u003c\/li\u003e\n\u003cli\u003e12v STS3215 Servo Motor 1:345 gear rate ×6\u003c\/li\u003e\n\u003cli\u003eServo Adaptor Board for Seeed Studio XIAO ×2\u003c\/li\u003e\n\u003cli\u003eStud ×8\u003c\/li\u003e\n\u003cli\u003eScrew ×8\u003c\/li\u003e\n\u003cli\u003e5V Power Supply Cable (Multiple head) × 1\u003c\/li\u003e\n\u003cli\u003e12V Power Supply Cable (Multiple head) ×1\u003c\/li\u003e\n\u003cli\u003eUSB-C Cable ×2\u003c\/li\u003e\n\u003cli\u003eDC Power Pigtail Cable ×2\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch2\u003eApplications\u003c\/h2\u003e\n\u003cp\u003e\u003ciframe width=\"560\" height=\"315\" src=\"https:\/\/www.youtube.com\/embed\/y9qTc0D-kL8?si=IYySmI4UuzjqBYjd\" title=\"YouTube video player\"\u003e\u003c\/iframe\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eImitation learning and reinforcement learning with LeRobot: end-to-end pipelines for data collection, training, simulation, and deployment.\u003c\/li\u003e\n\u003cli\u003eNvidia Jetson edge deployment: efficient training of customized grasp-and-place tasks with reComputer J4012 Orin NX 16 GB.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch2\u003eDetails\u003c\/h2\u003e\n\u003cp\u003e\u003cimg alt=\"SO-ARM101 Robot Arm, Open-source 6-axis robotic arm kit compatible with reComputer Mini J4012, supports LeRobot for learning, data collection, simulation, and training; includes QR access to GitHub, Wiki, and 3D printing files.\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/SO-ARM101-Robot-Arm-iqmLL.webp?v=1759548819\"\u003e\u003c\/p\u003e\n\u003cp\u003e6-axis robotics arm kit with open-source hardware, compatible with reComputer Mini J4012 Orin NX 16GB. Supports LeRobot on Hugging Face for community resources and imitative reinforcement learning, enabling whole-body coordination. Facilitates data collection, simulation, and training. QR codes provide access to GitHub, Wiki, and 3D printing files for the skeleton.\u003c\/p\u003e\n\u003cp\u003e\u003cimg alt=\"NVIDIA Jetson Orin NX dev kit with reComputer J40 and SO-ARM101 robot arms shows real-time system and GPU stats on a monitor.\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/so-arm101-robot-arm-ZoKgh.webp?v=1759548847\"\u003e\u003c\/p\u003e\n\u003cp\u003eNVIDIA Jetson Orin NX Developer Kit with reComputer J40 and SO-ARM101 robot arms, displaying system stats and GPU usage on monitor.\u003c\/p\u003e","brand":"Seeed Studio","offers":[{"title":"SO-ARM101 AI Arm Motor Kit","offer_id":47829107671264,"sku":"SO-ARM101-1","price":312.0,"currency_code":"USD","in_stock":true},{"title":"SO-ARM101 AI Arm Motor Kit Pro","offer_id":47829107704032,"sku":"SO-ARM101-2","price":399.0,"currency_code":"USD","in_stock":true},{"title":"SO-ARM101 3D Printed Parts","offer_id":47829107736800,"sku":"SO-ARM101-3","price":65.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0643\/3210\/3904\/files\/1-114993667-so-arm101-low-cost-ai-arm-servo-motor-kit-pro-for-lerobot.png?v=1759548392"},{"product_id":"so-arm101-low-cost-ai-arm-3d-printed-skeleton","title":"SO-ARM101 Low-Cost AI Arm 3D Printed Skeleton – Open-Source PLA+ parts for LeRobot, finetuned Leader\/Follower\/Clamps sets","description":"\u003ch2\u003eOverview\u003c\/h2\u003e\u003cp\u003eSO-ARM101 Low-Cost AI Arm 3D Printed Skeleton includes 3D‑printed structural parts for building the SO‑ARM101 robotic arm and learning with the LeRobot framework. It provides open-source resources for fast assembly, calibration, testing, data collection, training and deployment. The printed parts are finetuned for easier installation and feature mounting for the Servo Adaptor Board for Seeed Studio XIAO; parts may differ slightly from the official GitHub documents. Designed for enthusiasts, students and developers seeking a low-cost, open hardware path to advanced robotics.\u003c\/p\u003e\u003ch2\u003eKey Features\u003c\/h2\u003e\u003ch3\u003eOpen-source and low-cost\u003c\/h3\u003e\u003cp\u003eCommunity-driven robotic arm skeleton from TheRobotStudio, delivered as 3D‑printed parts.\u003c\/p\u003e\u003ch3\u003eIntegration with LeRobot\u003c\/h3\u003e\u003cp\u003eDesigned to work with the LeRobot platform (PyTorch models, datasets and tools) for reinforcement learning and imitation learning workflows, covering data collection, simulation, training and deployment.\u003c\/p\u003e\u003ch3\u003eAbundant learning resources\u003c\/h3\u003e\u003cp\u003eAssembly and calibration guides plus tutorials for testing, data collection, model training and deployment enable quick start and continued development.\u003c\/p\u003e\u003ch3\u003eCompatible with Nvidia edge devices\u003c\/h3\u003e\u003cp\u003eDeploy with reComputer Mini J4012 Orin NX 16 GB.\u003c\/p\u003e\u003ch3\u003eFinetuned printed parts\u003c\/h3\u003e\u003cp\u003eUpdated designs for easier installation, featuring mounting compatibility with the Servo Adaptor Board for Seeed Studio XIAO (printed parts may differ from the official GitHub files).\u003c\/p\u003e\u003ch2\u003eSpecifications\u003c\/h2\u003e\u003ctable\u003e\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003c\/td\u003e\n\u003ctd\u003eLeader\u003c\/td\u003e\n\u003ctd\u003eFollower\u003c\/td\u003e\n\u003ctd\u003eClamps\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eParts\u003c\/td\u003e\n\u003ctd\u003e12 pcs\u003c\/td\u003e\n\u003ctd\u003e11 pcs\u003c\/td\u003e\n\u003ctd\u003e12 pcs\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eColor\u003c\/td\u003e\n\u003ctd\u003eBlack\u003c\/td\u003e\n\u003ctd\u003eWhite\u003c\/td\u003e\n\u003ctd\u003eGrey\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eMaterial\u003c\/td\u003e\n\u003ctd\u003ePLA+\u003c\/td\u003e\n\u003ctd\u003ePLA+\u003c\/td\u003e\n\u003ctd\u003ePLA+\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eInfill Density\u003c\/td\u003e\n\u003ctd\u003e15%\u003c\/td\u003e\n\u003ctd\u003e15%\u003c\/td\u003e\n\u003ctd\u003e30%\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\u003c\/table\u003e\u003ch2\u003eWhat’s Included\u003c\/h2\u003e\u003ctable\u003e\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003eLeader Parts\u003c\/td\u003e\n\u003ctd\u003e12 pcs\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eFollower Parts\u003c\/td\u003e\n\u003ctd\u003e11 pcs\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eClamps Parts\u003c\/td\u003e\n\u003ctd\u003e12 pcs\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\u003c\/table\u003e\u003ch2\u003eApplications\u003c\/h2\u003e\u003cp\u003eImitation learning and reinforcement learning with the LeRobot framework. LeRobot is compatible with the SO‑ARM10x robotic arm series and provides complete pipelines for teaching grasping and placing tasks, with comprehensive simulation and deployment on Nvidia Jetson edge devices.\u003c\/p\u003e\u003ch2\u003eDocuments\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003e\u003ca href=\"https:\/\/files.seeedstudio.com\/wiki\/reComputer-Jetson\/lerobot\/STS3215-C001-20230624.pdf\" target=\"_blank\"\u003eSTS3215 Servo Motor Datasheet\u003c\/a\u003e\u003c\/li\u003e\n\u003cli\u003e\u003ca href=\"https:\/\/makerworld.com\/zh\/models\/908660-so-arm100\" target=\"_blank\"\u003eFinedtune 3D printed parts files\u003c\/a\u003e\u003c\/li\u003e\n\u003cli\u003e\u003ca href=\"https:\/\/github.com\/TheRobotStudio\/SO-ARM100\" target=\"_blank\"\u003eOriginal SO-ARM101 3D printed parts\u003c\/a\u003e\u003c\/li\u003e\n\u003cli\u003e\u003ca href=\"https:\/\/files.seeedstudio.com\/wiki\/reComputer-Jetson\/lerobot\/bus_servo_xiao.pdf\" target=\"_blank\"\u003eServo Adaptor Board for Seeed Studio XIAO Datasheet\u003c\/a\u003e\u003c\/li\u003e\n\u003cli\u003e\u003ca href=\"https:\/\/files.seeedstudio.com\/products\/NVIDIA\/reComputer-J301x-datasheet.pdf\" target=\"_blank\"\u003ereComputer J301x Datasheet\u003c\/a\u003e\u003c\/li\u003e\n\u003cli\u003e\u003ca href=\"https:\/\/files.seeedstudio.com\/products\/NVIDIA\/reComputer-J401x-datasheet.pdf\" target=\"_blank\"\u003ereComputer J401X Datasheet\u003c\/a\u003e\u003c\/li\u003e\n\u003cli\u003e\u003ca href=\"https:\/\/files.seeedstudio.com\/products\/NVIDIA-Jetson\/reComputer_mini_datasheet_V1.0.pdf\" target=\"_blank\"\u003ereComputer_mini_datasheet_V1.0\u003c\/a\u003e\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch2\u003eECCN\/HTS\u003c\/h2\u003e\u003ctable\u003e\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003eHSCODE\u003c\/td\u003e\n\u003ctd\u003e3926909090\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eUSHSCODE\u003c\/td\u003e\n\u003ctd\u003e3926100000\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eUPC\u003c\/td\u003e\n\u003ctd\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eEUHSCODE\u003c\/td\u003e\n\u003ctd\u003e3926909705\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eCOO\u003c\/td\u003e\n\u003ctd\u003eCHINA\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\u003c\/table\u003e\u003ch2\u003eDetails\u003c\/h2\u003e\u003cimg alt=\"SO ARM 101 AI Arm, LeRobot AI Arm Kit SO-ARM101 is a 6-axis open-source robotic arm for Orin NX, enabling AI learning, simulation, and prototyping with educational, customizable, and community-supported tools.\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/so-arm-101-ai-arm-DmwvE.webp?v=1759550477\"\u003e\u003cp\u003eLeRobot AI Arm Kit SO-ARM101 works with reComputer Mini J4012 Orin NX 16GB, featuring a 6-axis robotic arm and open-source hardware. It supports simulation, training, and imitative reinforcement learning for whole-body coordination. The kit includes access to LeRobot Hugging Face for community resources and tools for data collection. QR codes link to GitHub, Wiki, and 3D printing files for the skeleton, enabling easy assembly and customization. Designed for education and development, it offers hands-on experience in robotics, AI integration, and real-world application prototyping in a compact, accessible format.\u003c\/p\u003e\u003cimg alt=\"SO ARM 101 AI Arm, NVIDIA Jetson Orin NX Dev Kit with reComputer J40 shows AI arm components and real-time system monitoring data on screen.\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/so-arm-101-ai-arm-3z4LW.webp?v=1759550504\"\u003e\u003cp\u003eNVIDIA Jetson Orin NX Developer Kit with reComputer J40, displaying AI arm components and real-time system monitoring data on screen.\u003c\/p\u003e","brand":"Seeed Studio","offers":[{"title":"Default Title","offer_id":47829167735008,"sku":"SO-ARM101-3D","price":65.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0643\/3210\/3904\/files\/2-114993668-so-arm101-low-cost-ai-arm-3d-printed-parts-for-lerobot.jpg?v=1759550083"},{"product_id":"fashionstar-starai-7-dof-robot-arm-viola-violin-compatible-with-hugging-face-lerobot","title":"Fashionstar Starai 7 DoF Robot Arm Kit (Viola \u0026 Violin), compatible with Hugging Face LeRobot, ROS2\/MoveIt2\/Isaac Sim","description":"\u003ch2\u003eOverview\u003c\/h2\u003e\n\u003cp\u003eFashionstar Starai 7 DoF Robot Arm kit (Viola \u0026amp; Violin) is a pre-assembled, servo-based robotic arm solution designed for end-to-end learning. The kit includes one leader arm (Violin) for human demonstration and one follower arm (Viola) for learning and execution. It supports the Hugging Face LeRobot framework and ROS2, enabling real-world grasping tasks with great positional accuracy. Note: power adapters are not included and the kit requires two 12V10A power adapters with XT30 connector or loose wires for screw terminals.\u003c\/p\u003e\n\u003ch2\u003eKey Features\u003c\/h2\u003e\n\u003cul\u003e\n\u003cli\u003ePre-assembled 7 DoF robotic arm kit with leader and follower arms for demonstration and learning.\u003c\/li\u003e\n\u003cli\u003eReal-world task capable: 300g working payload (with 70% reach) and 470mm reach.\u003c\/li\u003e\n\u003cli\u003eSelf-sustaining suspension: arms can hold position after pressing the button for easier data collection.\u003c\/li\u003e\n\u003cli\u003eLeRobot framework compatible: SDK under Hugging Face LeRobot for streamlined data collection and training.\u003c\/li\u003e\n\u003cli\u003eSupported ROS2, MoveIt2 and Isaac Sim: ROS2 topics for control and data, MoveIt2 for inverse kinematics, simulation in Isaac Sim.\u003c\/li\u003e\n\u003cli\u003eOpen-source SDK: Python and C++ development supported.\u003c\/li\u003e\n\u003cli\u003eButton hover: simulates gravity compensation to hover at any position via a button.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch2\u003eSpecifications\u003c\/h2\u003e\n\u003ctable\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eProduct\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e\u003cstrong\u003eFollower Arm Viola\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e\u003cstrong\u003eLeader Arm Violin\u003c\/strong\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eRated Voltage\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e12V\u003c\/td\u003e\n\u003ctd\u003e12V\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eOperating Temperature\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e-10℃~60℃\u003c\/td\u003e\n\u003ctd\u003e-10℃~60℃\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003ePower\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e120W (XT30\/Screw Terminal)\u003c\/td\u003e\n\u003ctd\u003e120W (XT30\/Screw Terminal)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eDegrees of Freedom\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e6+1\u003c\/td\u003e\n\u003ctd\u003e6+1\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eWorking payload\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e300g (with 70% reach)\u003c\/td\u003e\n\u003ctd\u003eN\/A\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eReach\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e470mm\u003c\/td\u003e\n\u003ctd\u003e470mm\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eSpan\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e940mm\u003c\/td\u003e\n\u003ctd\u003e940mm\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eServos\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eRX8-U50H-M x2; RA8-U25H-M x4; RA8-U26H-M x1\u003c\/td\u003e\n\u003ctd\u003eRX8-U50H-M x2; RA8-U25H-M x4; RA8-U26H-M x1\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003ch2\u003eWhat’s Included\u003c\/h2\u003e\n\u003cul\u003e\n\u003cli\u003eLeader Arm x1\u003c\/li\u003e\n\u003cli\u003eFollower Arm x1\u003c\/li\u003e\n\u003cli\u003eCubes x4\u003c\/li\u003e\n\u003cli\u003eAllen wrench x1\u003c\/li\u003e\n\u003cli\u003eScrews x2\u003c\/li\u003e\n\u003cli\u003eClamps x2\u003c\/li\u003e\n\u003cli\u003ePower adapter: Without (requires 12V10A power adapters with XT30 connector x2 or loose wires for screw terminals)\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch2\u003eApplications\u003c\/h2\u003e\n\u003cp\u003eImitation learning and reinforcement learning with full data collection, training, deployment, and simulation via the LeRobot framework. On Nvidia Jetson edge devices, it is quick to train customized robotic arms for grasping and placing tasks. Tutorial: \u003ca rel=\"noopener\" href=\"https:\/\/www.jetson-ai-lab.com\/lerobot.html\" target=\"_blank\"\u003eLeRobot - NVIDIA Jetson AI Lab\u003c\/a\u003e.\u003c\/p\u003e\n\u003ch2\u003eHardware Overview\u003c\/h2\u003e\n\u003cp\u003e\u003cimg src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Fashionstar-Starai-7-DoF-Robot-Arm-aOCxw.webp?v=1759569068\" alt=\"Fashionstar Starai 7 DoF Robot Arm, A fashion-themed robot arm kit for Starai 7 DoF Robot Arm, compatible with LeRobot, ROS2, MoveIt2, and Isaac Sim platforms.\"\u003e\u003c\/p\u003e\n\u003cdiv id=\"product_info_27290d3635f89\" class=\"relative\"\u003e\n\u003cdiv class=\"text-24 font-mst-b max1080:text-22 leading-tight py-20 max1080:py-15\"\u003e\n\u003ch2\u003eDocuments\u003c\/h2\u003e\n\u003c\/div\u003e\n\u003cdiv\u003e\n\u003cdiv class=\"html_content_2981\"\u003e\n\u003cdiv class=\"documents_list\"\u003e\n\u003cdiv class=\"doc_item\"\u003e\u003ca href=\"https:\/\/files.seeedstudio.com\/products\/Fashionstar\/arm\/Star_Arm_Viola-Violin_EN_v1.3.pdf\" target=\"_blank\"\u003eArm Datasheet\u003c\/a\u003e\u003c\/div\u003e\n\u003cdiv class=\"doc_item\"\u003e\u003ca href=\"https:\/\/files.seeedstudio.com\/products\/Fashionstar\/Fashion%20Star_U25(H)_Datasheet_EN_V1.1.08.pdf\" target=\"_blank\"\u003e\u003cspan data-font-family=\"default\"\u003eS\u003c\/span\u003e\u003cspan data-font-family=\"default\"\u003ee\u003c\/span\u003e\u003cspan data-font-family=\"default\"\u003er\u003c\/span\u003e\u003cspan data-font-family=\"default\"\u003ev\u003c\/span\u003e\u003cspan data-font-family=\"default\"\u003eo\u003c\/span\u003e\u003cspan\u003e \u003c\/span\u003e\u003cspan data-font-family=\"default\"\u003eRA8-U25H-M\u003c\/span\u003e\u003cspan\u003e \u003c\/span\u003e\u003cspan data-font-family=\"default\"\u003eD\u003c\/span\u003e\u003cspan data-font-family=\"default\"\u003ea\u003c\/span\u003e\u003cspan data-font-family=\"default\"\u003et\u003c\/span\u003e\u003cspan data-font-family=\"default\"\u003ea\u003c\/span\u003e\u003cspan data-font-family=\"default\"\u003es\u003c\/span\u003e\u003cspan data-font-family=\"default\"\u003eh\u003c\/span\u003e\u003cspan data-font-family=\"default\"\u003ee\u003c\/span\u003e\u003cspan data-font-family=\"default\"\u003ee\u003c\/span\u003e\u003cspan data-font-family=\"default\"\u003et\u003c\/span\u003e\u003c\/a\u003e\u003c\/div\u003e\n\u003cdiv class=\"doc_item\"\u003e\u003ca href=\"https:\/\/files.seeedstudio.com\/products\/Fashionstar\/Fashion%20Star_U50H_Datasheet_EN_V1.1.08.pdf\" target=\"_blank\"\u003e\u003cspan data-font-family=\"default\"\u003eS\u003c\/span\u003e\u003cspan data-font-family=\"default\"\u003ee\u003c\/span\u003e\u003cspan data-font-family=\"default\"\u003er\u003c\/span\u003e\u003cspan data-font-family=\"default\"\u003ev\u003c\/span\u003e\u003cspan data-font-family=\"default\"\u003eo\u003c\/span\u003e\u003cspan\u003e \u003c\/span\u003e\u003cspan data-font-family=\"default\"\u003eRX8-U50H-M\u003c\/span\u003e\u003cspan\u003e \u003c\/span\u003e\u003cspan data-font-family=\"default\"\u003eD\u003c\/span\u003e\u003cspan data-font-family=\"default\"\u003ea\u003c\/span\u003e\u003cspan data-font-family=\"default\"\u003et\u003c\/span\u003e\u003cspan data-font-family=\"default\"\u003ea\u003c\/span\u003e\u003cspan data-font-family=\"default\"\u003es\u003c\/span\u003e\u003cspan data-font-family=\"default\"\u003eh\u003c\/span\u003e\u003cspan data-font-family=\"default\"\u003ee\u003c\/span\u003e\u003cspan data-font-family=\"default\"\u003ee\u003c\/span\u003e\u003cspan data-font-family=\"default\"\u003et\u003c\/span\u003e\u003c\/a\u003e\u003c\/div\u003e\n\u003cdiv class=\"doc_item\"\u003e\u003ca href=\"https:\/\/files.seeedstudio.com\/products\/Fashionstar\/UC01_Datasheet_EN_V1.1.07.pdf\" target=\"_blank\"\u003e\u003cspan data-font-family=\"default\"\u003eS\u003c\/span\u003e\u003cspan data-font-family=\"default\"\u003ee\u003c\/span\u003e\u003cspan data-font-family=\"default\"\u003er\u003c\/span\u003e\u003cspan data-font-family=\"default\"\u003ev\u003c\/span\u003e\u003cspan data-font-family=\"default\"\u003eo\u003c\/span\u003e\u003cspan\u003e \u003c\/span\u003e\u003cspan data-font-family=\"default\"\u003eB\u003c\/span\u003e\u003cspan data-font-family=\"default\"\u003eo\u003c\/span\u003e\u003cspan data-font-family=\"default\"\u003ea\u003c\/span\u003e\u003cspan data-font-family=\"default\"\u003er\u003c\/span\u003e\u003cspan data-font-family=\"default\"\u003ed\u003c\/span\u003e\u003cspan\u003e \u003c\/span\u003e\u003cspan data-font-family=\"default\"\u003eD\u003c\/span\u003e\u003cspan data-font-family=\"default\"\u003ea\u003c\/span\u003e\u003cspan data-font-family=\"default\"\u003et\u003c\/span\u003e\u003cspan data-font-family=\"default\"\u003ea\u003c\/span\u003e\u003cspan data-font-family=\"default\"\u003es\u003c\/span\u003e\u003cspan data-font-family=\"default\"\u003eh\u003c\/span\u003e\u003cspan data-font-family=\"default\"\u003ee\u003c\/span\u003e\u003cspan data-font-family=\"default\"\u003ee\u003c\/span\u003e\u003cspan data-font-family=\"default\"\u003et\u003c\/span\u003e\u003c\/a\u003e\u003c\/div\u003e\n\u003cdiv class=\"doc_item\"\u003e\u003ca href=\"https:\/\/wiki.seeedstudio.com\/lerobot_starai_arm\/\" target=\"_blank\"\u003eGetting started with StarAI Robot Arm with LeRobot\u003c\/a\u003e\u003c\/div\u003e\n\u003cdiv class=\"doc_item\"\u003e\u003ca href=\"https:\/\/github.com\/Welt-liu\/lerobot-starai\" target=\"_blank\"\u003e\u003cspan data-font-family=\"default\"\u003elerobot-starai github\u003c\/span\u003e\u003c\/a\u003e\u003c\/div\u003e\n\u003cdiv class=\"doc_item\"\u003e\u003ca href=\"https:\/\/github.com\/Welt-liu\/star-arm-moveit2\/tree\/main\/hardware\" target=\"_blank\"\u003e\u003cspan data-font-family=\"default\"\u003eSTEP\u003c\/span\u003e\u003c\/a\u003e\u003c\/div\u003e\n\u003cdiv class=\"doc_item\"\u003e\u003ca href=\"https:\/\/github.com\/Welt-liu\/star-arm-moveit2\/tree\/main\/src\/cello_description\" target=\"_blank\"\u003e\u003cspan data-font-family=\"default\"\u003eURDF\u003c\/span\u003e\u003c\/a\u003e\u003c\/div\u003e\n\u003cdiv class=\"doc_item\"\u003e\u003ca href=\"https:\/\/github.com\/Welt-liu\/star-arm-moveit2\" target=\"_blank\"\u003e\u003cspan data-font-family=\"default\"\u003eStarAI Robot Arm moveit2\u003c\/span\u003e\u003c\/a\u003e\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cdiv id=\"product_info_50ef85211b2a08\" class=\"relative\"\u003e\n\u003cdiv class=\"absolute bottom-full left-0 w-full h-1 p_scroll_into_view_2981\"\u003e\u003cbr\u003e\u003c\/div\u003e\n\u003cdiv class=\"text-24 font-mst-b max1080:text-22 leading-tight py-20 max1080:py-15\"\u003e\n\u003ch2\u003eECCN\/HTS\u003c\/h2\u003e\n\u003c\/div\u003e\n\u003cdiv\u003e\n\u003cdiv class=\"html_content_2981\"\u003e\n\u003cdiv\u003e\n\u003cdiv class=\"certification\"\u003e\u003cbr\u003e\u003c\/div\u003e\n\u003cdiv class=\"p_2981_table_wrapper\"\u003e\n\u003ctable class=\"p_2981_table\"\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd class=\"name\"\u003eHSCODE\u003c\/td\u003e\n\u003ctd\u003e9023009000\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"name\"\u003eUSHSCODE\u003c\/td\u003e\n\u003ctd\u003e9503000090\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"name\"\u003eUPC\u003c\/td\u003e\n\u003ctd\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"name\"\u003eEUHSCODE\u003c\/td\u003e\n\u003ctd\u003e9023001000\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"name\"\u003eCOO\u003c\/td\u003e\n\u003ctd\u003eCHINA\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e","brand":"Fashionstar","offers":[{"title":"Default Title","offer_id":47829807825120,"sku":"114090081","price":1169.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0643\/3210\/3904\/files\/1-114090081-fashionstar-star-arm-viola-violin_1.jpg?v=1759568594"},{"product_id":"fashionstar-starai-7-dof-robot-arm-cello-violin-compatible-with-hugging-face-lerobot","title":"Fashionstar Starai 7 DoF Robot Arm Cello \u0026 Violin Kit, Hugging Face LeRobot \u0026 ROS2 Compatible, 750g Payload, 670mm Reach","description":"\u003ch2\u003eOverview\u003c\/h2\u003e\u003cp\u003eFashionstar Starai 7 DoF Robot Arm Cello Violin is a pre-assembled, servo-based robotic arm kit designed for end-to-end learning and real-world grasping tasks. The kit includes one Leader Arm Violin for human demonstration and one Follower Arm Cello for learning, offering great positional accuracy. It is compatible with Hugging Face LeRobot and ROS2 for data collection, training, and control.\u003c\/p\u003e\u003ch2\u003eKey Features\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003ePre-assembled: ready-to-use 7 DOF robot arm kit with one Leader Arm (Violin) and one Follower Arm (Cello).\u003c\/li\u003e\n\u003cli\u003eReal-world task capable: can be used for grasping tasks; a 300g working payload and 470mm reach scenario is supported. See Specifications for full ratings.\u003c\/li\u003e\n\u003cli\u003eSelf-sustaining suspension \/ Button Hover: simulates gravity compensation so the arm can hover and hold any position via a button, enabling easier data collection.\u003c\/li\u003e\n\u003cli\u003eLeRobot framework compatible: SDK under the Hugging Face LeRobot framework for easier data collection and training.\u003c\/li\u003e\n\u003cli\u003eSupported ROS2, MoveIt2, and Isaac Sim: publish\/subscribe topics and control via ROS2, inverse kinematics with MoveIt2, and simulation in Isaac Sim.\u003c\/li\u003e\n\u003cli\u003eOpen-source SDK: Python and C++ development supported.\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch2\u003eNotes\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003ePower Adapter NOT included.\u003c\/li\u003e\n\u003cli\u003eRequires 12V10A Power Adapter with XT30 connector or loose wires for screw terminals x1, and 300W Power Supply with XT60 connector x1.\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch2\u003eSpecifications\u003c\/h2\u003e\u003ctable\u003e\n\u003cthead\u003e\u003ctr\u003e\n\u003cth\u003eParameter\u003c\/th\u003e\n\u003cth\u003eFollower Arm Cello\u003c\/th\u003e\n\u003cth\u003eLeader Arm Violin\u003c\/th\u003e\n\u003c\/tr\u003e\u003c\/thead\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003eRated Voltage\u003c\/td\u003e\n\u003ctd\u003e12V\u003c\/td\u003e\n\u003ctd\u003e12V\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eOperating Temperature\u003c\/td\u003e\n\u003ctd\u003e-10℃~60℃\u003c\/td\u003e\n\u003ctd\u003e-10℃~60℃\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003ePower\u003c\/td\u003e\n\u003ctd\u003e300W\u003c\/td\u003e\n\u003ctd\u003e120W\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eDegrees of Freedom\u003c\/td\u003e\n\u003ctd\u003e6+1\u003c\/td\u003e\n\u003ctd\u003e6+1\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eWorking payload\u003c\/td\u003e\n\u003ctd\u003e750g (with 70% reach)\u003c\/td\u003e\n\u003ctd\u003eN\/A\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eReach\u003c\/td\u003e\n\u003ctd\u003e670mm\u003c\/td\u003e\n\u003ctd\u003e470mm\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eSpan\u003c\/td\u003e\n\u003ctd\u003e1340mm\u003c\/td\u003e\n\u003ctd\u003e940mm\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eServos\u003c\/td\u003e\n\u003ctd\u003eRX18-U100H-M x3\u003cbr\u003eRX8-U50H-M x3\u003cbr\u003eRX8-U51H-M x1\u003c\/td\u003e\n\u003ctd\u003eRX8-U50H-M x2\u003cbr\u003eRA8-U25H-M x4\u003cbr\u003eRA8-U26H-M x1\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\u003cp\u003eFor more information, please see the datasheet.\u003c\/p\u003e\u003ch2\u003eWhat’s Included\u003c\/h2\u003e\u003ctable\u003e\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003eLeader Arm Violin\u003c\/td\u003e\n\u003ctd\u003ex1\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eFollower Arm Cello\u003c\/td\u003e\n\u003ctd\u003ex1\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eCubes\u003c\/td\u003e\n\u003ctd\u003ex4\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eAllen wrench\u003c\/td\u003e\n\u003ctd\u003ex1\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eScrews\u003c\/td\u003e\n\u003ctd\u003ex2\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eClamps\u003c\/td\u003e\n\u003ctd\u003ex2\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\u003c\/table\u003e\u003ch2\u003eApplications\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003eImitation learning and reinforcement learning using the LeRobot framework.\u003c\/li\u003e\n\u003cli\u003eComplete data collection, training, deployment, and simulation workflow. On NVIDIA Jetson edge devices, it is easy to train customized grasp-and-place tasks.\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003eTutorials: \u003ca href=\"https:\/\/www.jetson-ai-lab.com\/lerobot.html\" rel=\"noopener\" target=\"_blank\"\u003eLeRobot - NVIDIA Jetson AI Lab\u003c\/a\u003e\u003c\/p\u003e\u003ch2\u003eDocuments\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003e\u003ca href=\"https:\/\/files.seeedstudio.com\/products\/Fashionstar\/arm\/Star_Arm_Cello-Violin_EN_v1.3.pdf\" rel=\"noopener\" target=\"_blank\"\u003eDatasheet\u003c\/a\u003e\u003c\/li\u003e\n\u003cli\u003e\u003ca href=\"https:\/\/wiki.seeedstudio.com\/lerobot_starai_arm\/\" rel=\"noopener\" target=\"_blank\"\u003eGetting started with StarAI Robot Arm with LeRobot\u003c\/a\u003e\u003c\/li\u003e\n\u003cli\u003e\u003ca href=\"https:\/\/github.com\/Welt-liu\/lerobot-starai\" rel=\"noopener\" target=\"_blank\"\u003elerobot-starai GitHub\u003c\/a\u003e\u003c\/li\u003e\n\u003cli\u003e\u003ca href=\"https:\/\/github.com\/Welt-liu\/star-arm-moveit2\/tree\/main\/hardware\" rel=\"noopener\" target=\"_blank\"\u003eSTEP\u003c\/a\u003e\u003c\/li\u003e\n\u003cli\u003e\u003ca href=\"https:\/\/github.com\/Welt-liu\/star-arm-moveit2\/tree\/main\/src\/cello_description\" rel=\"noopener\" target=\"_blank\"\u003eURDF\u003c\/a\u003e\u003c\/li\u003e\n\u003cli\u003e\u003ca href=\"https:\/\/github.com\/Welt-liu\/star-arm-moveit2\" rel=\"noopener\" target=\"_blank\"\u003eStarAI Robot Arm MoveIt2\u003c\/a\u003e\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch2\u003eECCN\/HTS\u003c\/h2\u003e\u003ctable\u003e\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003eHSCODE\u003c\/td\u003e\n\u003ctd\u003e9023009000\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eUSHSCODE\u003c\/td\u003e\n\u003ctd\u003e9023000000\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eEUHSCODE\u003c\/td\u003e\n\u003ctd\u003e9023001000\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eCOO\u003c\/td\u003e\n\u003ctd\u003eCHINA\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\u003c\/table\u003e\u003ch2\u003eDetails\u003c\/h2\u003e\u003cimg alt=\"Fashionstar Starai 7 DoF Robot Arm, Robotic arm suitable for grasping tasks with 300g payload and 470mm reach.\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Fashionstar-Starai-7-DoF-Robot-Arm-2GTU5.webp?v=1759570135\"\u003e","brand":"Fashionstar","offers":[{"title":"Default Title","offer_id":47829829877984,"sku":"114090080","price":2499.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0643\/3210\/3904\/files\/2-114090080-fashionstar-star-arm-cello-violin.jpg?v=1759569786"},{"product_id":"lekiwi-mobile-robot","title":"WowRobo LeKiwi Mobile Robot - Open-Source Omnidirectional drive, 2MP Camera, 12V 5600mAh Battery","description":"\u003ch2\u003eOverview\u003c\/h2\u003e\u003cp\u003eWowRobo Robotics LeKiwi Mobile Robot is an open-source platform from the LeRobot project, designed for embodied AI and robotics research. It features an omnidirectional drive system, onboard vision, and a modular base suitable for learning, prototyping, and exploring next-generation intelligent robotics.\u003c\/p\u003e\u003ch2\u003eUnboxing and Installation Video\u003c\/h2\u003e\u003cp\u003e\u003ciframe height=\"315\" src=\"https:\/\/www.youtube.com\/embed\/OKG4c1hSoM4?si=OCJdO460oJYC7UGG\" title=\"YouTube video player\" width=\"560\"\u003e\u003c\/iframe\u003e\u003c\/p\u003e\u003ch2\u003eKey Features\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003eOpen-source mobile robot platform for research and education\u003c\/li\u003e\n\u003cli\u003eOmnidirectional drive for agile motion\u003c\/li\u003e\n\u003cli\u003eOnboard vision with 2 MP camera, 30 FPS, 3 m cable\u003c\/li\u003e\n\u003cli\u003eModular base for rapid prototyping and extensions\u003c\/li\u003e\n\u003cli\u003e12 V \/ 5600 mAh lithium battery with charger\u003c\/li\u003e\n\u003cli\u003e3 x 3215-C018, 12 V servos with a servo driver board\u003c\/li\u003e\n\u003cli\u003eThree sets of 85 mm omnidirectional wheels with connecting shafts\u003c\/li\u003e\n\u003cli\u003eUSB\/Type-C cables in 0.5 m and 3 m lengths\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003eFor customer service or order assistance, contact https:\/\/rcdrone.top\/ or email support@rcdrone.top.\u003c\/p\u003e\u003ch2\u003eSpecifications\u003c\/h2\u003e\u003ctable\u003e\n\u003ctr\u003e\n\u003ctd\u003eCategory\u003c\/td\u003e\n\u003ctd\u003eMobile Robot\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eDrive\u003c\/td\u003e\n\u003ctd\u003eOmnidirectional\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eWheel size\u003c\/td\u003e\n\u003ctd\u003e85 mm (3 sets; includes connecting shafts)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eServos\u003c\/td\u003e\n\u003ctd\u003e3 x 3215-C018, 12 V\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eServo driver board\u003c\/td\u003e\n\u003ctd\u003eIncluded\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eCamera\u003c\/td\u003e\n\u003ctd\u003e2 MP, 30 FPS, 3 m cable\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eBattery\u003c\/td\u003e\n\u003ctd\u003e12 V, 5600 mAh, lithium; charger included\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eUSB\/Type-C cables\u003c\/td\u003e\n\u003ctd\u003e0.5 m and 3 m\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eCompute\/storage (Package 2)\u003c\/td\u003e\n\u003ctd\u003eRaspberry Pi 5 \/ 4G 64GB storage card\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/table\u003e\u003ch2\u003eWhats Included\u003c\/h2\u003e\u003ch3\u003ePackage 1\u003c\/h3\u003e\u003cul\u003e\n\u003cli\u003eCar body (3 sets of 85 mm omnidirectional wheels and connecting shafts)\u003c\/li\u003e\n\u003cli\u003e3 x 3215-C018 \/ 12 V servos\u003c\/li\u003e\n\u003cli\u003e1 x servo driver board\u003c\/li\u003e\n\u003cli\u003ePLA mechanical arm base replacement structure\u003c\/li\u003e\n\u003cli\u003e1 x 2 MP 30 FPS camera with 3 m cable\u003c\/li\u003e\n\u003cli\u003e12 V \/ 5600 mAh lithium battery and charger\u003c\/li\u003e\n\u003cli\u003e1 x 0.5 m USB\/Type-C cable and 1 x 3 m USB\/Type-C cable\u003c\/li\u003e\n\u003cli\u003eRaspberry Pi 5 \/ 4G 64GB storage card (not included)\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch3\u003ePackage 2\u003c\/h3\u003e\u003cul\u003e\n\u003cli\u003eCar body (3 sets of 85 mm omnidirectional wheels and connecting shafts)\u003c\/li\u003e\n\u003cli\u003e3 x 3215-C018 \/ 12 V servos\u003c\/li\u003e\n\u003cli\u003e1 x servo driver board\u003c\/li\u003e\n\u003cli\u003ePLA mechanical arm base replacement structure\u003c\/li\u003e\n\u003cli\u003e1 x 2 MP 30 FPS camera with 3 m cable\u003c\/li\u003e\n\u003cli\u003e12 V \/ 5600 mAh lithium battery and charger\u003c\/li\u003e\n\u003cli\u003e1 x 0.5 m USB\/Type-C cable and 1 x 3 m USB\/Type-C cable\u003c\/li\u003e\n\u003cli\u003eRaspberry Pi 5 \/ 4G 64GB storage card (included)\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch2\u003eApplications\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003eEmbodied AI experiments\u003c\/li\u003e\n\u003cli\u003eRobotics research and prototyping\u003c\/li\u003e\n\u003cli\u003eAutonomous navigation studies\u003c\/li\u003e\n\u003cli\u003eEducation and lab coursework\u003c\/li\u003e\n\u003cli\u003eVision-based robotics tasks\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003e\u003cstrong\u003eNeed Help or Have Questions?\u003c\/strong\u003e Join our active \u003ca href=\"https:\/\/discord.gg\/dhTGTvJQC4\" rel=\"noopener\" target=\"_blank\"\u003eDiscord community\u003c\/a\u003e for quick support, setup tips, and to connect with other roboticists.\u003c\/p\u003e\u003ch2\u003eDetails\u003c\/h2\u003e\u003cimg alt=\"WowRobo LeKiwi Mobile Robot, LeKiwi robot packages include identical parts except Package 2 adds a Raspberry Pi 5 with 4GB RAM and 64GB storage.\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/WowRobo-LeKiwi-Mobile-Robot-PIGv7.webp?v=1765113612\"\u003e\u003cp\u003eLeKiwi robot packages include car body, servos, driver board, camera, battery, cables. Package 2 adds Raspberry Pi 5 with 4GB RAM and 64GB storage; Package 1 excludes it. All other components are identical in both packages.\u003c\/p\u003e","brand":"WowRobo Robotics","offers":[{"title":"Package 1: 12V Kit – Without Raspberry Pi \/ Black","offer_id":48384597950688,"sku":"wow-lekiwi-robot-1","price":359.0,"currency_code":"USD","in_stock":true},{"title":"Package 1: 12V Kit – Without Raspberry Pi \/ White","offer_id":48384597983456,"sku":"wow-lekiwi-robot-2","price":359.0,"currency_code":"USD","in_stock":true},{"title":"Package 1: 12V Kit – Without Raspberry Pi \/ Blue","offer_id":48384598016224,"sku":"wow-lekiwi-robot-3","price":359.0,"currency_code":"USD","in_stock":true},{"title":"Package 1: 12V Kit – Without Raspberry Pi \/ Orange","offer_id":48384598048992,"sku":"wow-lekiwi-robot-4","price":359.0,"currency_code":"USD","in_stock":true},{"title":"Package 2: 12V Kit – With Raspberry Pi \u0026 64GB Card \/ Black","offer_id":48384598081760,"sku":"wow-lekiwi-robot-5","price":539.0,"currency_code":"USD","in_stock":true},{"title":"Package 2: 12V Kit – With Raspberry Pi \u0026 64GB Card \/ White","offer_id":48384598114528,"sku":"wow-lekiwi-robot-6","price":539.0,"currency_code":"USD","in_stock":true},{"title":"Package 2: 12V Kit – With Raspberry Pi \u0026 64GB Card \/ Blue","offer_id":48384598147296,"sku":"wow-lekiwi-robot-7","price":539.0,"currency_code":"USD","in_stock":true},{"title":"Package 2: 12V Kit – With Raspberry Pi \u0026 64GB Card \/ Orange","offer_id":48384598180064,"sku":"wow-lekiwi-robot-8","price":539.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0643\/3210\/3904\/files\/main_en1.png?v=1765112934"},{"product_id":"cereboto-openarm-7dof-robotic-arm-kit-diy-or-pre-assembled-open-source-ros-python-control","title":"CEREBOTO OpenArm 7DOF Robotic Arm Kit – DIY or Pre-Assembled, Open-Source ROS\/Python Control","description":"\u003ch2 data-end=\"108\" data-start=\"97\"\u003eOverview\u003c\/h2\u003e\n\u003cp data-end=\"634\" data-start=\"109\"\u003eThe CEREBOTO OpenArm 7DOF Robotic Arm is a research-grade, human-scale robotic arm designed for universities, labs, startups and serious makers. With 7 degrees of freedom, 633 mm arm reach, typical payload of 4.1 kg and peak payload of 6.0 kg per arm, OpenArm delivers high-precision motion, safe physical interaction and rich open-source tools.\u003cbr data-end=\"457\" data-start=\"454\"\u003eYou can choose a DIY hardware kit for full hands-on assembly, or a factory-calibrated, ready-to-use finished arm. Single-arm, dual-arm and quad-arm configurations are available.\u003c\/p\u003e\n\u003ch2 data-end=\"651\" data-start=\"636\"\u003eKey Features\u003c\/h2\u003e\n\u003cul data-end=\"1649\" data-start=\"652\"\u003e\n\u003cli data-end=\"780\" data-start=\"652\"\u003e\n\u003cp data-end=\"780\" data-start=\"654\"\u003e\u003cstrong data-end=\"686\" data-start=\"654\"\u003e7DOF human-scale robotic arm\u003c\/strong\u003e – designed to match a 160–165 cm human arm length for natural manipulation and teleoperation.\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli data-end=\"902\" data-start=\"781\"\u003e\n\u003cp data-end=\"902\" data-start=\"783\"\u003e\u003cstrong data-end=\"811\" data-start=\"783\"\u003eHigh payload \u0026amp; stability\u003c\/strong\u003e – typical payload 4.1 kg, peak payload 6.0 kg per arm, with lightweight 5.5 kg arm weight.\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli data-end=\"1035\" data-start=\"903\"\u003e\n\u003cp data-end=\"1035\" data-start=\"905\"\u003e\u003cstrong data-end=\"950\" data-start=\"905\"\u003eBackdrivable motors \u0026amp; compliant structure\u003c\/strong\u003e – safe, smooth interaction for human–robot collaboration and force-controlled tasks.\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli data-end=\"1165\" data-start=\"1036\"\u003e\n\u003cp data-end=\"1165\" data-start=\"1038\"\u003e\u003cstrong data-end=\"1067\" data-start=\"1038\"\u003e1 kHz CAN-FD control loop\u003c\/strong\u003e – real-time, low-latency control for high-performance research and industrial-grade applications.\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli data-end=\"1283\" data-start=\"1166\"\u003e\n\u003cp data-end=\"1283\" data-start=\"1168\"\u003e\u003cstrong data-end=\"1194\" data-start=\"1168\"\u003eAll-metal construction\u003c\/strong\u003e – robust aluminum-alloy and stainless-steel main structure for stiffness and durability.\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli data-end=\"1392\" data-start=\"1284\"\u003e\n\u003cp data-end=\"1392\" data-start=\"1286\"\u003e\u003cstrong data-end=\"1321\" data-start=\"1286\"\u003eOpen-source hardware \u0026amp; software\u003c\/strong\u003e – open CAD, PCB, firmware and control software for deep customization.\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli data-end=\"1507\" data-start=\"1393\"\u003e\n\u003cp data-end=\"1507\" data-start=\"1395\"\u003e\u003cstrong data-end=\"1426\" data-start=\"1395\"\u003eROS, Python and C++ support\u003c\/strong\u003e – official ROS integration plus Python\/C++ APIs for rapid algorithm development.\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli data-end=\"1649\" data-start=\"1508\"\u003e\n\u003cp data-end=\"1649\" data-start=\"1510\"\u003e\u003cstrong data-end=\"1542\" data-start=\"1510\"\u003eRich ecosystem and expansion\u003c\/strong\u003e – supports dexterous robotic hands, motion-capture gloves and mobile bases for complete robotic platforms.\u003c\/p\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch2 data-end=\"1678\" data-start=\"1651\"\u003eTechnical Specifications\u003c\/h2\u003e\n\u003cul data-end=\"2224\" data-start=\"1679\"\u003e\n\u003cli data-end=\"1720\" data-start=\"1679\"\u003e\n\u003cp data-end=\"1720\" data-start=\"1681\"\u003e\u003cstrong data-end=\"1704\" data-start=\"1681\"\u003eDegrees of Freedom:\u003c\/strong\u003e 7 DOF per arm\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli data-end=\"1746\" data-start=\"1721\"\u003e\n\u003cp data-end=\"1746\" data-start=\"1723\"\u003e\u003cstrong data-end=\"1737\" data-start=\"1723\"\u003eArm Reach:\u003c\/strong\u003e 633 mm\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli data-end=\"1778\" data-start=\"1747\"\u003e\n\u003cp data-end=\"1778\" data-start=\"1749\"\u003e\u003cstrong data-end=\"1769\" data-start=\"1749\"\u003eTypical Payload:\u003c\/strong\u003e 4.1 kg\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli data-end=\"1815\" data-start=\"1779\"\u003e\n\u003cp data-end=\"1815\" data-start=\"1781\"\u003e\u003cstrong data-end=\"1798\" data-start=\"1781\"\u003ePeak Payload:\u003c\/strong\u003e 6.0 kg per arm\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli data-end=\"1858\" data-start=\"1816\"\u003e\n\u003cp data-end=\"1858\" data-start=\"1818\"\u003e\u003cstrong data-end=\"1833\" data-start=\"1818\"\u003eArm Weight:\u003c\/strong\u003e approx. 5.5 kg per arm\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli data-end=\"1929\" data-start=\"1859\"\u003e\n\u003cp data-end=\"1929\" data-start=\"1861\"\u003e\u003cstrong data-end=\"1875\" data-start=\"1861\"\u003eMaterials:\u003c\/strong\u003e Aluminum-alloy and stainless-steel structural parts\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli data-end=\"2037\" data-start=\"1930\"\u003e\n\u003cp data-end=\"2037\" data-start=\"1932\"\u003e\u003cstrong data-end=\"1954\" data-start=\"1932\"\u003eControl Interface:\u003c\/strong\u003e CAN \/ CAN-FD, UART (via included USB2CANFD-X2 adapter on dual\/quad-arm versions)\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli data-end=\"2088\" data-start=\"2038\"\u003e\n\u003cp data-end=\"2088\" data-start=\"2040\"\u003e\u003cstrong data-end=\"2062\" data-start=\"2040\"\u003eControl Frequency:\u003c\/strong\u003e up to 1 kHz CAN-FD loop\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli data-end=\"2149\" data-start=\"2089\"\u003e\n\u003cp data-end=\"2149\" data-start=\"2091\"\u003e\u003cstrong data-end=\"2112\" data-start=\"2091\"\u003eSoftware Support:\u003c\/strong\u003e ROS framework, Python API, C++ API\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli data-end=\"2224\" data-start=\"2150\"\u003e\n\u003cp data-end=\"2224\" data-start=\"2152\"\u003e\u003cstrong data-end=\"2167\" data-start=\"2152\"\u003eErgonomics:\u003c\/strong\u003e arm length suited to users with 160–165 cm body height\u003c\/p\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch2 data-end=\"2261\" data-start=\"2226\"\u003eSoftware \u0026amp; Open-Source Ecosystem\u003c\/h2\u003e\n\u003cp data-end=\"2346\" data-start=\"2262\"\u003eOpenArm is a fully open-source robotic arm platform. The official resources include:\u003c\/p\u003e\n\u003cul data-end=\"2526\" data-start=\"2348\"\u003e\n\u003cli data-end=\"2376\" data-start=\"2348\"\u003e\n\u003cp data-end=\"2376\" data-start=\"2350\"\u003e\u003cstrong data-end=\"2362\" data-start=\"2350\"\u003eWebsite:\u003c\/strong\u003e openarm.dev\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli data-end=\"2416\" data-start=\"2377\"\u003e\n\u003cp data-end=\"2416\" data-start=\"2379\"\u003e\u003cstrong data-end=\"2397\" data-start=\"2379\"\u003eDocumentation:\u003c\/strong\u003e docs.openarm.dev\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli data-end=\"2459\" data-start=\"2417\"\u003e\n\u003cp data-end=\"2459\" data-start=\"2419\"\u003e\u003cstrong data-end=\"2430\" data-start=\"2419\"\u003eGitHub:\u003c\/strong\u003e github.com\/enactic\/openarm\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli data-end=\"2526\" data-start=\"2460\"\u003e\n\u003cp data-end=\"2526\" data-start=\"2462\"\u003e\u003cstrong data-end=\"2481\" data-start=\"2462\"\u003eTutorial Video:\u003c\/strong\u003e official YouTube guide for getting started\u003c\/p\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp data-end=\"2709\" data-start=\"2528\"\u003eWith open CAD, PCB and firmware files, you can modify mechanics, electronics and control software, or extend the arm with new sensors and end-effectors for your own research topics.\u003c\/p\u003e\n\u003ch2 data-end=\"2743\" data-start=\"2711\"\u003eTypical Application Scenarios\u003c\/h2\u003e\n\u003cp data-end=\"2830\" data-start=\"2744\"\u003eOpenArm is designed as a versatile, high-precision research and teaching platform for:\u003c\/p\u003e\n\u003col data-end=\"3172\" data-start=\"2832\"\u003e\n\u003cli data-end=\"2888\" data-start=\"2832\"\u003e\n\u003cp data-end=\"2888\" data-start=\"2835\"\u003e\u003cstrong data-end=\"2886\" data-start=\"2835\"\u003eUniversity robotics courses and lab experiments\u003c\/strong\u003e\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli data-end=\"2941\" data-start=\"2889\"\u003e\n\u003cp data-end=\"2941\" data-start=\"2892\"\u003e\u003cstrong data-end=\"2939\" data-start=\"2892\"\u003eResearch institutes and laboratory projects\u003c\/strong\u003e\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli data-end=\"3003\" data-start=\"2942\"\u003e\n\u003cp data-end=\"3003\" data-start=\"2945\"\u003e\u003cstrong data-end=\"3001\" data-start=\"2945\"\u003eReinforcement learning and physics-based AI research\u003c\/strong\u003e\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli data-end=\"3068\" data-start=\"3004\"\u003e\n\u003cp data-end=\"3068\" data-start=\"3007\"\u003e\u003cstrong data-end=\"3066\" data-start=\"3007\"\u003eHuman-robot interaction and collaborative robot studies\u003c\/strong\u003e\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli data-end=\"3120\" data-start=\"3069\"\u003e\n\u003cp data-end=\"3120\" data-start=\"3072\"\u003e\u003cstrong data-end=\"3118\" data-start=\"3072\"\u003eMakerspaces and open-source hardware teams\u003c\/strong\u003e\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli data-end=\"3172\" data-start=\"3121\"\u003e\n\u003cp data-end=\"3172\" data-start=\"3124\"\u003e\u003cstrong data-end=\"3172\" data-start=\"3124\"\u003eEngineering education and training platforms\u003c\/strong\u003e\u003c\/p\u003e\n\u003c\/li\u003e\n\u003c\/ol\u003e\n\u003cp data-end=\"3323\" data-start=\"3174\"\u003eWith its human-scale size and compliant actuation, OpenArm is ideal for manipulation, teleoperation, imitation learning, assistive robotics and more.\u003c\/p\u003e\n\u003ch2 data-end=\"3361\" data-start=\"3325\"\u003eProduct Versions \u0026amp; Configurations\u003c\/h2\u003e\n\u003cp data-end=\"3396\" data-start=\"3362\"\u003e\u003cstrong data-end=\"3394\" data-start=\"3362\"\u003eVersion 1 – DIY Hardware Kit\u003c\/strong\u003e\u003c\/p\u003e\n\u003cul data-end=\"3620\" data-start=\"3397\"\u003e\n\u003cli data-end=\"3494\" data-start=\"3397\"\u003e\n\u003cp data-end=\"3494\" data-start=\"3399\"\u003eFor users with strong hands-on skills who want to deeply understand the mechanical structure.\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli data-end=\"3620\" data-start=\"3495\"\u003e\n\u003cp data-end=\"3620\" data-start=\"3497\"\u003eIncludes all mechanical, electrical and 3D-printed parts; you assemble and calibrate the arm yourself following the manual.\u003c\/p\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp data-end=\"3660\" data-start=\"3622\"\u003e\u003cstrong data-end=\"3658\" data-start=\"3622\"\u003eVersion 2 – Finished Robotic Arm\u003c\/strong\u003e\u003c\/p\u003e\n\u003cul data-end=\"3840\" data-start=\"3661\"\u003e\n\u003cli data-end=\"3754\" data-start=\"3661\"\u003e\n\u003cp data-end=\"3754\" data-start=\"3663\"\u003eFor research institutes, labs, companies and educators who need a plug-and-play platform.\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli data-end=\"3840\" data-start=\"3755\"\u003e\n\u003cp data-end=\"3840\" data-start=\"3757\"\u003eFully assembled, tuned and calibrated before shipping; ready to use out of the box.\u003c\/p\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp data-end=\"3898\" data-start=\"3842\"\u003e\u003cstrong data-end=\"3898\" data-start=\"3842\"\u003eAvailable arm configurations (depending on listing):\u003c\/strong\u003e\u003c\/p\u003e\n\u003cul data-end=\"4061\" data-start=\"3899\"\u003e\n\u003cli data-end=\"3923\" data-start=\"3899\"\u003e\n\u003cp data-end=\"3923\" data-start=\"3901\"\u003eDIY Kit – Single Arm\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli data-end=\"3953\" data-start=\"3924\"\u003e\n\u003cp data-end=\"3953\" data-start=\"3926\"\u003eFinished Arm – Single Arm\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli data-end=\"3977\" data-start=\"3954\"\u003e\n\u003cp data-end=\"3977\" data-start=\"3956\"\u003eDIY Kit – Dual Arms\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli data-end=\"4007\" data-start=\"3978\"\u003e\n\u003cp data-end=\"4007\" data-start=\"3980\"\u003eFinished Arms – Dual Arms\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli data-end=\"4031\" data-start=\"4008\"\u003e\n\u003cp data-end=\"4031\" data-start=\"4010\"\u003eDIY Kit – Quad Arms\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli data-end=\"4061\" data-start=\"4032\"\u003e\n\u003cp data-end=\"4061\" data-start=\"4034\"\u003eFinished Arms – Quad Arms\u003c\/p\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch2 data-end=\"4082\" data-start=\"4063\"\u003ePackage Contents\u003c\/h2\u003e\n\u003cp data-end=\"4138\" data-start=\"4083\"\u003eEach OpenArm kit or finished system typically includes:\u003c\/p\u003e\n\u003col data-end=\"4474\" data-start=\"4140\"\u003e\n\u003cli data-end=\"4210\" data-start=\"4140\"\u003e\n\u003cp data-end=\"4210\" data-start=\"4143\"\u003e\u003cstrong data-end=\"4208\" data-start=\"4143\"\u003eAluminum-alloy and stainless-steel main structural components\u003c\/strong\u003e\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli data-end=\"4266\" data-start=\"4211\"\u003e\n\u003cp data-end=\"4266\" data-start=\"4214\"\u003e\u003cstrong data-end=\"4264\" data-start=\"4214\"\u003eMotors, driver boards, power supply and cables\u003c\/strong\u003e\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli data-end=\"4307\" data-start=\"4267\"\u003e\n\u003cp data-end=\"4307\" data-start=\"4270\"\u003e\u003cstrong data-end=\"4305\" data-start=\"4270\"\u003e3D-printed parts and screw sets\u003c\/strong\u003e\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli data-end=\"4474\" data-start=\"4308\"\u003e\n\u003cp data-end=\"4474\" data-start=\"4311\"\u003e\u003cstrong data-end=\"4346\" data-start=\"4311\"\u003eDual-arm and quad-arm versions:\u003c\/strong\u003e one official BOM-compatible \u003cstrong data-end=\"4391\" data-start=\"4375\"\u003eUSB2CANFD-X2\u003c\/strong\u003e device (CEREBOTO is the authorized domestic agent) for PC-to-CAN-FD communication.\u003c\/p\u003e\n\u003c\/li\u003e\n\u003c\/ol\u003e\n\u003ch2 data-end=\"4508\" data-start=\"4476\"\u003eSupported Hardware Extensions\u003c\/h2\u003e\n\u003cp data-end=\"4619\" data-start=\"4509\"\u003eOpenArm supports multiple hardware add-ons (sold separately), enabling you to build a complete robotic system:\u003c\/p\u003e\n\u003cul data-end=\"4857\" data-start=\"4621\"\u003e\n\u003cli data-end=\"4698\" data-start=\"4621\"\u003e\n\u003cp data-end=\"4698\" data-start=\"4623\"\u003e\u003cstrong data-end=\"4649\" data-start=\"4623\"\u003eDexterous robotic hand\u003c\/strong\u003e – for fine manipulation and grasping research.\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli data-end=\"4785\" data-start=\"4699\"\u003e\n\u003cp data-end=\"4785\" data-start=\"4701\"\u003e\u003cstrong data-end=\"4729\" data-start=\"4701\"\u003eMotion-capture glove set\u003c\/strong\u003e – for intuitive teleoperation and imitation learning.\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli data-end=\"4857\" data-start=\"4786\"\u003e\n\u003cp data-end=\"4857\" data-start=\"4788\"\u003e\u003cstrong data-end=\"4803\" data-start=\"4788\"\u003eMobile base\u003c\/strong\u003e – to turn OpenArm into a mobile manipulator platform.\u003c\/p\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch2 data-end=\"4865\" data-start=\"4859\"\u003eFAQ\u003c\/h2\u003e\n\u003cp data-end=\"5124\" data-start=\"4866\"\u003e\u003cstrong data-end=\"4913\" data-start=\"4866\"\u003eQ: Can the robotic arm be used immediately?\u003c\/strong\u003e\u003cbr data-end=\"4916\" data-start=\"4913\"\u003e\u003cstrong data-end=\"4922\" data-start=\"4916\"\u003eA:\u003c\/strong\u003e The finished-arm version is fully tuned and calibrated at the factory—just power it on and start working. The DIY hardware kit requires you to assemble and set up the system following the instructions.\u003c\/p\u003e\n\u003cp data-end=\"5303\" data-start=\"5126\"\u003e\u003cstrong data-end=\"5184\" data-start=\"5126\"\u003eQ: Is OpenArm compatible with ROS or other middleware?\u003c\/strong\u003e\u003cbr data-end=\"5187\" data-start=\"5184\"\u003e\u003cstrong data-end=\"5193\" data-start=\"5187\"\u003eA:\u003c\/strong\u003e Yes. OpenArm officially supports the ROS framework, and you can also control the arm via Python and C++ APIs.\u003c\/p\u003e\n\u003cp data-end=\"5475\" data-start=\"5305\"\u003e\u003cstrong data-end=\"5336\" data-start=\"5305\"\u003eQ: Who is this product for?\u003c\/strong\u003e\u003cbr data-end=\"5339\" data-start=\"5336\"\u003e\u003cstrong data-end=\"5345\" data-start=\"5339\"\u003eA:\u003c\/strong\u003e University and institute researchers, AI \u0026amp; robotics labs, teaching courses, engineering training centers, and advanced hobbyists.\u003c\/p\u003e\n\u003cp data-end=\"5475\" data-start=\"5305\"\u003e\u003cimg alt=\"The Cereboto OpenArm 7DOF robot arm offers precise motion, a 6 kg payload, and robust design for industrial and research applications.\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Cereboto-OpenArm-7DOF-Robot-Arm-B1Rbe.webp?v=1765115256\"\u003e\u003c\/p\u003e\u003cp\u003eThe Cereboto OpenArm 7DOF Robot Arm has seven joints (J1–J7) with defined angular ranges. It stands 697 mm or 773 mm tall, reaches 630 mm, and mounts on a 190×250 mm stainless steel base plate—8 mm thick with 48 M6 holes spaced at 30 mm pitch. Driven by DM8009P, DM4340P, DM4340, and DM4310 motors, it handles 6.0 kg payloads with precision. Designed for industrial and research use, it balances structural robustness with accurate motion control.\u003c\/p\u003e\n\u003cp data-end=\"5475\" data-start=\"5305\"\u003e\u003cimg alt=\"Cereboto OpenArm 7DOF Robot Arm, Robotic arm designed like a 160-165cm human arm for natural manipulation and teleoperation.\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Cereboto-OpenArm-7DOF-Robot-Arm-egCmC.webp?v=1765115284\"\u003e\u003c\/p\u003e\n\u003cp data-end=\"5475\" data-start=\"5305\"\u003e \u003c\/p\u003e\n\u003cp data-end=\"5475\" data-start=\"5305\"\u003e \u003c\/p\u003e","brand":"CEREBOTO","offers":[{"title":"DIY Kit (Single Arm) – Self Assembly","offer_id":48384602210528,"sku":"CEREBOTO-OpenArm-1","price":5399.0,"currency_code":"USD","in_stock":true},{"title":"Finished Arm (Single Arm) – Ready to Use","offer_id":48384602243296,"sku":"CEREBOTO-OpenArm-2","price":6399.0,"currency_code":"USD","in_stock":true},{"title":"DIY Kit (Dual Arms) – Self Assembly","offer_id":48384602276064,"sku":"CEREBOTO-OpenArm-3","price":10749.0,"currency_code":"USD","in_stock":true},{"title":"Finished Arms (Dual Arms) – Ready to Use","offer_id":48384602308832,"sku":"CEREBOTO-OpenArm-4","price":12079.0,"currency_code":"USD","in_stock":true},{"title":"DIY Kit (Four Arms) – Self Assembly","offer_id":48384602341600,"sku":"CEREBOTO-OpenArm-5","price":21059.0,"currency_code":"USD","in_stock":true},{"title":"Finished Arms (Four Arms) – Ready to Use","offer_id":48384602374368,"sku":"CEREBOTO-OpenArm-6","price":23699.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0643\/3210\/3904\/files\/CEREBOTO-OpenArm-7DOF-Robotic-Arm-Kit-w460P.png?v=1765115098"},{"product_id":"so-arm100-diy-kit-assembled-version","title":"WowRobo Robotics SO-ARM100 Robotic Arm – DIY Kit \u0026 Fully Assembled, Eye-in-Hand 2MP, Feetech ST3215-C018","description":"\u003ch2\u003eOverview\u003c\/h2\u003e\u003cp\u003eThe WowRobo Robotics SO-ARM100 robotic arm is based on the open-source LeRobot project from Hugging Face and is available as a DIY Kit or a fully assembled, ready-to-use version. It supports an eye-in-hand configuration with a 2MP camera (included in selected packages) and comes in multiple standard colors. A white Collector’s Edition (Logo Tribute Model) is also shown, pre-assembled.\u003c\/p\u003e\u003ch2\u003eKey Features\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003eOpen-source LeRobot SO-ARM100 platform; officially recommended by Hugging Face (as shown).\u003c\/li\u003e\n\u003cli\u003eTwo options: DIY Kit or Fully Assembled Version.\u003c\/li\u003e\n\u003cli\u003eEye-in-hand vision with a 2MP camera (package dependent).\u003c\/li\u003e\n\u003cli\u003eFeetech ST3215-C018 12V\/30KG servos; 12 units included across packages.\u003c\/li\u003e\n\u003cli\u003eHigh-quality PLA printed parts and custom foam packaging.\u003c\/li\u003e\n\u003cli\u003eMultiple colors available: blue, black, orange, white; Collector’s Edition available in white only.\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch2\u003eSpecifications\u003c\/h2\u003e\u003ctable\u003e\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003eProduct type\u003c\/td\u003e\n\u003ctd\u003eRobotic Arm\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eModel\u003c\/td\u003e\n\u003ctd\u003eSO-ARM100\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eCamera\u003c\/td\u003e\n\u003ctd\u003e2MP (included in Package 2 and Package 3)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eServos\u003c\/td\u003e\n\u003ctd\u003eFeetech ST3215-C018, 12V\/30KG; 12 units (all packages)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003ePrinted parts\u003c\/td\u003e\n\u003ctd\u003ePLA (included in all packages)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eServo adapter\u003c\/td\u003e\n\u003ctd\u003eWaveshare (2 units in Package 2 and Package 3)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003ePower adapters\u003c\/td\u003e\n\u003ctd\u003e12V5A \u0026amp; 12V10A (1 set in Package 2 and Package 3)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eMounting\u003c\/td\u003e\n\u003ctd\u003eC-shaped fixed frames (4 units in Package 2 and Package 3)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eData cables\u003c\/td\u003e\n\u003ctd\u003e1.5m Dual-Type-C (2 cables in Package 2 and Package 3)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eAssembly \u0026amp; calibration service\u003c\/td\u003e\n\u003ctd\u003eIncluded in Package 3\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eOne-on-one guidance\u003c\/td\u003e\n\u003ctd\u003eIncluded in Package 3\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eStandard colors\u003c\/td\u003e\n\u003ctd\u003eBlue, Black, Orange, White\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\u003c\/table\u003e\u003ch2\u003eWhat’s Included\u003c\/h2\u003e\u003ch3\u003ePackage 1\u003c\/h3\u003e\u003cul\u003e\n\u003cli\u003e12 x Feetech ST3215-C018 Motors (12V\/30KG)\u003c\/li\u003e\n\u003cli\u003eHigh-quality PLA printed parts\u003c\/li\u003e\n\u003cli\u003eWaveshare Servo Adapter: Not included\u003c\/li\u003e\n\u003cli\u003eTwo Power Adapters (12V5A \u0026amp; 12V10A): Not included\u003c\/li\u003e\n\u003cli\u003eC-shaped Fixed Frames: Not included\u003c\/li\u003e\n\u003cli\u003e1.5m Dual-Type-C Data Cables: Not included\u003c\/li\u003e\n\u003cli\u003e2MP Hands-On Camera: Not included\u003c\/li\u003e\n\u003cli\u003eFinished assembly and calibrated service: Not included\u003c\/li\u003e\n\u003cli\u003eOne-on-one guidance: Not included\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch3\u003ePackage 2\u003c\/h3\u003e\u003cul\u003e\n\u003cli\u003e12 x Feetech ST3215-C018 Motors (12V\/30KG)\u003c\/li\u003e\n\u003cli\u003eHigh-quality PLA printed parts\u003c\/li\u003e\n\u003cli\u003e2 x Waveshare Servo Adapters\u003c\/li\u003e\n\u003cli\u003e1 set of Power Adapters (12V5A \u0026amp; 12V10A)\u003c\/li\u003e\n\u003cli\u003e4 x C-shaped Fixed Frames\u003c\/li\u003e\n\u003cli\u003e2 x 1.5m Dual-Type-C Data Cables\u003c\/li\u003e\n\u003cli\u003e1 x 2MP Hands-On Camera\u003c\/li\u003e\n\u003cli\u003eFinished assembly and calibrated service: Not included\u003c\/li\u003e\n\u003cli\u003eOne-on-one guidance: Not included\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch3\u003ePackage 3\u003c\/h3\u003e\u003cul\u003e\n\u003cli\u003e12 x Feetech ST3215-C018 Motors (12V\/30KG)\u003c\/li\u003e\n\u003cli\u003eHigh-quality PLA printed parts\u003c\/li\u003e\n\u003cli\u003e2 x Waveshare Servo Adapters\u003c\/li\u003e\n\u003cli\u003e1 set of Power Adapters (12V5A \u0026amp; 12V10A)\u003c\/li\u003e\n\u003cli\u003e4 x C-shaped Fixed Frames\u003c\/li\u003e\n\u003cli\u003e2 x 1.5m Dual-Type-C Data Cables\u003c\/li\u003e\n\u003cli\u003e1 x 2MP Hands-On Camera\u003c\/li\u003e\n\u003cli\u003eFinished assembly and calibrated service: Included\u003c\/li\u003e\n\u003cli\u003eOne-on-one guidance: Included\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch2\u003eShipping Information\u003c\/h2\u003e\u003ctable\u003e\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003ePackage 1\u003c\/td\u003e\n\u003ctd\u003e34cm × 29cm × 17cm\u003c\/td\u003e\n\u003ctd\u003e2KG\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003ePackage 2\u003c\/td\u003e\n\u003ctd\u003e34cm × 30cm × 25cm\u003c\/td\u003e\n\u003ctd\u003e5KG\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003ePackage 3\u003c\/td\u003e\n\u003ctd\u003e42cm × 27cm × 25cm\u003c\/td\u003e\n\u003ctd\u003e5KG\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\u003c\/table\u003e\u003cp\u003eFor sales or technical questions, contact customer service at \u003ca href=\"mailto:support@rcdrone.top\"\u003esupport@rcdrone.top\u003c\/a\u003e or visit \u003ca href=\"https:\/\/rcdrone.top\/\" rel=\"noopener\" target=\"_blank\"\u003ehttps:\/\/rcdrone.top\/\u003c\/a\u003e.\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eNeed Help or Have Questions?\u003c\/strong\u003e Join our active \u003ca href=\"https:\/\/discord.gg\/dhTGTvJQC4\" rel=\"noopener\" target=\"_blank\"\u003eDiscord community\u003c\/a\u003e for quick support and setup tips.\u003c\/p\u003e\u003ch2\u003eDetails\u003c\/h2\u003e\u003cimg alt=\"WowRobo SO-ARM100 Robotic Arm, Hugging Face recommends LeRobot SO-ARM100 Eye-in-Hand robotic arms for their capabilities.\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/WowRobo-SO-ARM100-Robotic-Arm-jPKC8.webp?v=1765116803\"\u003e\u003cp\u003eHugging Face recommends LeRobot SO-ARM100 Eye-in-Hand robotic arms.\u003c\/p\u003e\u003cimg alt=\"WowRobo SO-ARM100 Robotic Arm, LeRobot SO-ARM100 Collector’s Edition: white, pre-assembled, fan-favorite robotic arm with community emblem, showcasing refined craftsmanship for desk display.\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/WowRobo-SO-ARM100-Robotic-Arm-nfzVc.webp?v=1765116843\"\u003e\u003cp\u003eLeRobot SO-ARM100 Collector’s Edition: white, pre-assembled, community-emblem, refined craftsmanship, fan-favorite collectible robotic arm displayed on desk.\u003c\/p\u003e\u003cimg alt=\"WowRobo SO-ARM100 Robotic Arm, Multiple standard colors available for robotic arm; custom options via customer service. Four color variants displayed.\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/WowRobo-SO-ARM100-Robotic-Arm-J5XaV.webp?v=1765116871\"\u003e\u003cp\u003eMultiple standard colors available for robotic arm; custom options via customer service. Four color variants displayed.\u003c\/p\u003e\u003cimg alt=\"WowRobo SO-ARM100 Robotic Arm, WowRobo robotics kit for building a robotic arm with eye-in-hand camera and Feetech motor.\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/WowRobo-SO-ARM100-Robotic-Arm-aMvSl.webp?v=1765116906\"\u003e\u003cimg alt=\"WowRobo SO-ARM100 Robotic Arm, SO-ARM100 offers three packages with increasing features; Package 3 includes full support and calibration.\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/WowRobo-SO-ARM100-Robotic-Arm-6UL5a.webp?v=1765116947\"\u003e\u003cp\u003eSO-ARM100 offers three packages. All include 12 motors and PLA parts. Higher tiers add servo adapters, power supplies, frames, cables, camera, assembly service, and guidance. Package 3 provides full support and calibration.\u003c\/p\u003e","brand":"WowRobo Robotics","offers":[{"title":"Package 1: Printed Parts and 12 Servos \/ Black","offer_id":48384605094112,"sku":"wow-so-arm100-1","price":359.0,"currency_code":"USD","in_stock":true},{"title":"Package 1: Printed Parts and 12 Servos \/ White","offer_id":48384605126880,"sku":"wow-so-arm100-2","price":359.0,"currency_code":"USD","in_stock":true},{"title":"Package 1: Printed Parts and 12 Servos \/ Blue","offer_id":48384605159648,"sku":"wow-so-arm100-3","price":359.0,"currency_code":"USD","in_stock":true},{"title":"Package 1: Printed Parts and 12 Servos \/ Orange","offer_id":48384605192416,"sku":"wow-so-arm100-4","price":359.0,"currency_code":"USD","in_stock":true},{"title":"Package 2: All Parts Needed for the SO-100 Two Arms \/ Black","offer_id":48384605225184,"sku":"wow-so-arm100-5","price":259.0,"currency_code":"USD","in_stock":true},{"title":"Package 2: All Parts Needed for the SO-100 Two Arms \/ White","offer_id":48384605257952,"sku":"wow-so-arm100-6","price":259.0,"currency_code":"USD","in_stock":true},{"title":"Package 2: All Parts Needed for the SO-100 Two Arms \/ Blue","offer_id":48384605290720,"sku":"wow-so-arm100-7","price":259.0,"currency_code":"USD","in_stock":true},{"title":"Package 2: All Parts Needed for the SO-100 Two Arms \/ Orange","offer_id":48384605323488,"sku":"wow-so-arm100-8","price":259.0,"currency_code":"USD","in_stock":true},{"title":"Package 3A: Assembled SO-100 Arm (Standard | 1 Leader + 1 Follower) \/ Black","offer_id":48384605356256,"sku":"wow-so-arm100-9","price":469.0,"currency_code":"USD","in_stock":true},{"title":"Package 3A: Assembled SO-100 Arm (Standard | 1 Leader + 1 Follower) \/ White","offer_id":48384605389024,"sku":"wow-so-arm100-10","price":469.0,"currency_code":"USD","in_stock":true},{"title":"Package 3A: Assembled SO-100 Arm (Standard | 1 Leader + 1 Follower) \/ Blue","offer_id":48384605421792,"sku":"wow-so-arm100-11","price":469.0,"currency_code":"USD","in_stock":true},{"title":"Package 3A: Assembled SO-100 Arm (Standard | 1 Leader + 1 Follower) \/ Orange","offer_id":48384605454560,"sku":"wow-so-arm100-12","price":469.0,"currency_code":"USD","in_stock":true},{"title":"Package 3B: Assembled SO-100 Arm (Collector’s Edition – White + Logo | 1 Leader + 1 Follower) \/ White","offer_id":48384605487328,"sku":"wow-so-arm100-13","price":539.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0643\/3210\/3904\/files\/009.jpg?v=1765115917"},{"product_id":"so-arm101-diy-kit-assembled-version-1","title":"WowRobo Robotics SO-ARM101 Robotic Arm DIY Kit \u0026 Fully Assembled | Open-Source LeRobot, 12 ST3215 Servos","description":"\u003ch2\u003eOverview\u003c\/h2\u003e\u003cp\u003eThe WowRobo Robotics SO-ARM101 robotic arm is based on the open-source LeRobot project from Hugging Face and is offered in two options: a DIY Kit and a Fully Assembled Version. Choose to build the system yourself for hands-on learning, or select the pre-built, calibrated option for immediate use.\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eDIY Kit\u003c\/strong\u003e: Includes the components required to assemble the robotic arm yourself—ideal for enthusiasts and hobbyists who want to learn by building from the ground up.\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eFully Assembled Version\u003c\/strong\u003e: Ships pre-built and calibrated. No assembly required—unpack, set up, and start exploring robotics.\u003c\/p\u003e\u003ch2\u003eKey Features\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003eBuilt on the LeRobot open-source stack (Hugging Face).\u003c\/li\u003e\n\u003cli\u003eAvailable as DIY Kit or Fully Assembled Version to match different needs.\u003c\/li\u003e\n\u003cli\u003eConsistent servo set across packages: 12 pcs Feetech ST3215 servos per arm.\u003c\/li\u003e\n\u003cli\u003eHigh-quality PLA+ printed parts included in all packages.\u003c\/li\u003e\n\u003cli\u003eAccessory and service differences by package (see Specifications).\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch2\u003eSpecifications\u003c\/h2\u003e\u003ch3\u003eServo configuration (per arm)\u003c\/h3\u003e\u003cul\u003e\n\u003cli\u003eC001 (7.4V, 1\/345): 1 pcs\u003c\/li\u003e\n\u003cli\u003eC044 (7.4V, 1\/191): 2 pcs\u003c\/li\u003e\n\u003cli\u003eC046 (7.4V, 1\/147): 3 pcs\u003c\/li\u003e\n\u003cli\u003eC018 (12V, 1\/345): 6 pcs\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch3\u003ePackage contents\u003c\/h3\u003e\u003ctable\u003e\n\u003cthead\u003e\u003ctr\u003e\n\u003cth\u003eItem\u003c\/th\u003e\n\u003cth\u003ePackage 1\u003c\/th\u003e\n\u003cth\u003ePackage 2\u003c\/th\u003e\n\u003cth\u003ePackage 3\u003c\/th\u003e\n\u003c\/tr\u003e\u003c\/thead\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003eFeetech ST3215 servos (total)\u003c\/td\u003e\n\u003ctd\u003e12 pcs\u003c\/td\u003e\n\u003ctd\u003e12 pcs\u003c\/td\u003e\n\u003ctd\u003e12 pcs\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eHigh-quality PLA+ printed parts\u003c\/td\u003e\n\u003ctd\u003eIncluded\u003c\/td\u003e\n\u003ctd\u003eIncluded\u003c\/td\u003e\n\u003ctd\u003eIncluded\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eWaveshare servo adapter\u003c\/td\u003e\n\u003ctd\u003eNot included\u003c\/td\u003e\n\u003ctd\u003e2 units\u003c\/td\u003e\n\u003ctd\u003e2 units\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eTwo power adapters (12V8A \u0026amp; 5V6A)\u003c\/td\u003e\n\u003ctd\u003eNot included\u003c\/td\u003e\n\u003ctd\u003e1 set\u003c\/td\u003e\n\u003ctd\u003e1 set\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eC-shaped fixed clamp\u003c\/td\u003e\n\u003ctd\u003eNot included\u003c\/td\u003e\n\u003ctd\u003e4 units\u003c\/td\u003e\n\u003ctd\u003e4 units\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e1.5m Dual-Type-C data cables\u003c\/td\u003e\n\u003ctd\u003eNot included\u003c\/td\u003e\n\u003ctd\u003e2 cables\u003c\/td\u003e\n\u003ctd\u003e2 cables\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e2M pixels hands-on camera\u003c\/td\u003e\n\u003ctd\u003eNot included\u003c\/td\u003e\n\u003ctd\u003e1 unit\u003c\/td\u003e\n\u003ctd\u003e1 unit\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eFinished assembly and calibrated service\u003c\/td\u003e\n\u003ctd\u003eNot included\u003c\/td\u003e\n\u003ctd\u003eNot included\u003c\/td\u003e\n\u003ctd\u003eIncluded\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\u003ch3\u003eShipping information\u003c\/h3\u003e\u003ctable\u003e\n\u003cthead\u003e\u003ctr\u003e\n\u003cth\u003ePackage\u003c\/th\u003e\n\u003cth\u003eDimensions\u003c\/th\u003e\n\u003cth\u003eActual weight\u003c\/th\u003e\n\u003c\/tr\u003e\u003c\/thead\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003ePackage 1\u003c\/td\u003e\n\u003ctd\u003e34cm x 29cm x 17cm\u003c\/td\u003e\n\u003ctd\u003e2KG\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003ePackage 2\u003c\/td\u003e\n\u003ctd\u003e34cm x 30cm x 25cm\u003c\/td\u003e\n\u003ctd\u003e5KG\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003ePackage 3\u003c\/td\u003e\n\u003ctd\u003e42cm x 27cm x 25cm\u003c\/td\u003e\n\u003ctd\u003e5KG\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\u003ch2\u003eServo Motor Tip\u003c\/h2\u003e\u003cp\u003eServo motors are wear-prone components. To minimize downtime and shipping delays, it is recommended to purchase 1–2 extra servos with your order—especially for follower arm positions. Reference: \u003ca href=\"https:\/\/shop.wowrobo.com\/products\/feetech-sts3215-servo-12v-30kg-high-torque-servo-for-so-arm100\" rel=\"noopener\" target=\"_blank\"\u003eservo link\u003c\/a\u003e.\u003c\/p\u003e\u003ch2\u003eSupport \u0026amp; Community\u003c\/h2\u003e\u003cp\u003eJoin the active \u003ca href=\"https:\/\/discord.gg\/dhTGTvJQC4\" rel=\"noopener\" target=\"_blank\"\u003eDiscord community\u003c\/a\u003e for setup tips and help from other roboticists. For order or technical assistance, contact customer service at https:\/\/rcdrone.top\/ or email support@rcdrone.top.\u003c\/p\u003e\u003ch2\u003eDetails\u003c\/h2\u003e\u003cimg alt=\"WowRobo SO-ARM101 Robot Arm, SO-ARM101 offers three packages; only Package 3 includes full assembly and calibration, others require self-assembly with partial parts.\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/WowRobo-SO-ARM101-Robot-Arm-6PvK9.webp?v=1765118208\"\u003e\u003cp\u003eSO-ARM101 offers three packages with varying inclusions: servos, printed parts, adapters, cables, clamps, camera, and assembly service. Package 3 provides full assembly and calibration; others require self-assembly with partial components included.\u003c\/p\u003e","brand":"WowRobo Robotics","offers":[{"title":"Package 1: Printed Parts and 12 Servos \/ Black","offer_id":48384608305376,"sku":"wow-so-arm101-1","price":359.0,"currency_code":"USD","in_stock":true},{"title":"Package 1: Printed Parts and 12 Servos \/ White","offer_id":48384608338144,"sku":"wow-so-arm101-2","price":359.0,"currency_code":"USD","in_stock":true},{"title":"Package 1: Printed Parts and 12 Servos \/ Blue","offer_id":48384608370912,"sku":"wow-so-arm101-3","price":359.0,"currency_code":"USD","in_stock":true},{"title":"Package 1: Printed Parts and 12 Servos \/ Orange","offer_id":48384608403680,"sku":"wow-so-arm101-4","price":359.0,"currency_code":"USD","in_stock":true},{"title":"Package 2: Unassembled Kit for the SO-101 Arms(1 Leader + 1 Follower +1 camera) \/ Black","offer_id":48384608436448,"sku":"wow-so-arm101-5","price":469.0,"currency_code":"USD","in_stock":true},{"title":"Package 2: Unassembled Kit for the SO-101 Arms(1 Leader + 1 Follower +1 camera) \/ White","offer_id":48384608469216,"sku":"wow-so-arm101-6","price":469.0,"currency_code":"USD","in_stock":true},{"title":"Package 2: Unassembled Kit for the SO-101 Arms(1 Leader + 1 Follower +1 camera) \/ Blue","offer_id":48384608501984,"sku":"wow-so-arm101-7","price":469.0,"currency_code":"USD","in_stock":true},{"title":"Package 2: Unassembled Kit for the SO-101 Arms(1 Leader + 1 Follower +1 camera) \/ Orange","offer_id":48384608534752,"sku":"wow-so-arm101-8","price":469.0,"currency_code":"USD","in_stock":true},{"title":"Package 3: Assembled SO-101 Arm (1 Leader + 1 Follower +1 camera) \/ Black","offer_id":48384608567520,"sku":"wow-so-arm101-9","price":539.0,"currency_code":"USD","in_stock":true},{"title":"Package 3: Assembled SO-101 Arm (1 Leader + 1 Follower +1 camera) \/ White","offer_id":48384608600288,"sku":"wow-so-arm101-10","price":539.0,"currency_code":"USD","in_stock":true},{"title":"Package 3: Assembled SO-101 Arm (1 Leader + 1 Follower +1 camera) \/ Blue","offer_id":48384608633056,"sku":"wow-so-arm101-11","price":539.0,"currency_code":"USD","in_stock":true},{"title":"Package 3: Assembled SO-101 Arm (1 Leader + 1 Follower +1 camera) \/ Orange","offer_id":48384608665824,"sku":"wow-so-arm101-12","price":539.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0643\/3210\/3904\/files\/101main-01.jpg?v=1765117613"},{"product_id":"xlerobot-dual-arm-mobile-household-robot-kit","title":"WowRobo Robotics XLeRobot 0.3.0 Dual-Arm Mobile Household Robot Kit – Open-Source Embodied AI \u0026 STEM Platform","description":"\u003ch2 data-start=\"129\" data-end=\"142\"\u003eOverview\u003c\/h2\u003e\n\u003cp data-start=\"143\" data-end=\"702\"\u003eXLeRobot 0.3.0 is an open-source dual-arm mobile household robot kit designed to make embodied AI affordable and practical. Built with 3D-printed parts and modular hardware, it is ideal for demonstrations, STEM education and cutting-edge research in robotics, VLA and reinforcement learning. WowRobo provides the complete hardware kit and manufacturing support, while the official project site (xlerobot.readthedocs.io) offers detailed documentation and examples.\u003c\/p\u003e\n\u003cp data-start=\"143\" data-end=\"702\"\u003eA step-by-step hardware installation video:\u003c\/p\u003e\n\u003cp data-start=\"143\" data-end=\"702\"\u003e\u003ciframe width=\"560\" height=\"315\" src=\"https:\/\/www.youtube.com\/embed\/upB1CEFeOlk?si=7I0W9szkoeHaQ52-\" title=\"YouTube video player\"\u003e\u003c\/iframe\u003e\u003c\/p\u003e\n\u003ch2 data-start=\"704\" data-end=\"729\"\u003eWho Is XLeRobot For?\u003c\/h2\u003e\n\u003cul data-start=\"730\" data-end=\"1211\"\u003e\n\u003cli data-start=\"730\" data-end=\"812\"\u003e\n\u003cp data-start=\"732\" data-end=\"812\"\u003eStartups that need a low-cost, modular platform for rapid product prototyping.\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli data-start=\"813\" data-end=\"886\"\u003e\n\u003cp data-start=\"815\" data-end=\"886\"\u003eDIY makers who want to build their first real mobile household robot.\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli data-start=\"887\" data-end=\"977\"\u003e\n\u003cp data-start=\"889\" data-end=\"977\"\u003eSTEM educators bringing real robot arms and embodied AI into classrooms and workshops.\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli data-start=\"978\" data-end=\"1102\"\u003e\n\u003cp data-start=\"980\" data-end=\"1102\"\u003eIndependent university students and researchers looking for an affordable physical platform for robotics\/AI experiments.\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli data-start=\"1103\" data-end=\"1211\"\u003e\n\u003cp data-start=\"1105\" data-end=\"1211\"\u003eUniversity robotics labs translating VLA and RL algorithms into real-world, human-centered applications.\u003c\/p\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch2 data-start=\"1213\" data-end=\"1249\"\u003eImportant Notes Before Purchase\u003c\/h2\u003e\n\u003cp data-start=\"1250\" data-end=\"1499\"\u003eEmbodied intelligence for home robots is still an emerging technology and cannot yet deliver fully autonomous housekeeping. XLeRobot is a \u003cstrong data-start=\"1388\" data-end=\"1456\"\u003egeneral-purpose mobile dual-arm embodied AI development platform\u003c\/strong\u003e, not a plug-and-play consumer appliance.\u003c\/p\u003e\n\u003cp data-start=\"1501\" data-end=\"1951\"\u003eBuyers should have basic experience with Linux (Ubuntu), macOS development, GitHub and Python. Beginners can get started within about a week using online tutorials and AI assistants, but we strongly recommend reading the official documentation and trying the ManiSkill simulation demos on the XLeRobot website before ordering. If you have never used Ubuntu, you can follow community tutorials to install it as a dual-boot system on your Windows PC.\u003c\/p\u003e\n\u003ch2 data-start=\"1953\" data-end=\"1988\"\u003eControl Devices (Not Included)\u003c\/h2\u003e\n\u003cp data-start=\"1989\" data-end=\"2101\"\u003eThe kit does \u003cstrong data-start=\"2002\" data-end=\"2009\"\u003enot\u003c\/strong\u003e include any control device. The official XLeRobot site provides example control code for:\u003c\/p\u003e\n\u003cul data-start=\"2103\" data-end=\"2180\"\u003e\n\u003cli data-start=\"2103\" data-end=\"2115\"\u003e\n\u003cp data-start=\"2105\" data-end=\"2115\"\u003eKeyboard\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli data-start=\"2116\" data-end=\"2132\"\u003e\n\u003cp data-start=\"2118\" data-end=\"2132\"\u003eXbox gamepad\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli data-start=\"2133\" data-end=\"2160\"\u003e\n\u003cp data-start=\"2135\" data-end=\"2160\"\u003eNintendo Switch Joy-Con\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli data-start=\"2161\" data-end=\"2180\"\u003e\n\u003cp data-start=\"2163\" data-end=\"2180\"\u003eMeta Quest 3 VR\u003c\/p\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp data-start=\"2182\" data-end=\"2370\"\u003eYou can also use the official Hugging Face master–follower arm control system (master arms purchased separately). Please choose and purchase your own controllers according to your needs.\u003c\/p\u003e\n\u003ch2 data-start=\"2372\" data-end=\"2416\"\u003ePower Supply and Trolley (Not Included)\u003c\/h2\u003e\n\u003cul data-start=\"2417\" data-end=\"2807\"\u003e\n\u003cli data-start=\"2417\" data-end=\"2651\"\u003e\n\u003cp data-start=\"2419\" data-end=\"2651\"\u003eNo battery or power bank is included. We recommend a high-power USB-C power bank or mobile power supply with \u003cstrong data-start=\"2528\" data-end=\"2557\"\u003eat least two Type-C ports\u003c\/strong\u003e, each supporting \u003cstrong data-start=\"2575\" data-end=\"2607\"\u003e65 W fast charging or higher\u003c\/strong\u003e, and a \u003cstrong data-start=\"2615\" data-end=\"2648\"\u003etotal output of 140 W or more\u003c\/strong\u003e.\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli data-start=\"2652\" data-end=\"2807\"\u003e\n\u003cp data-start=\"2654\" data-end=\"2807\"\u003eFor the mobile base, it is recommended to buy the original \u003cstrong data-start=\"2713\" data-end=\"2742\"\u003eIKEA Råskog large trolley\u003c\/strong\u003e to ensure mechanical compatibility with the XLeRobot hardware.\u003c\/p\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch2 data-start=\"2809\" data-end=\"2845\"\u003eComputing Device (Not Included)\u003c\/h2\u003e\n\u003cp data-start=\"2846\" data-end=\"2894\"\u003eThe kit does not include any computing device.\u003c\/p\u003e\n\u003cul data-start=\"2896\" data-end=\"3351\"\u003e\n\u003cli data-start=\"2896\" data-end=\"3071\"\u003e\n\u003cp data-start=\"2898\" data-end=\"3071\"\u003eTypical developers can simply use their own laptop (an NVIDIA RTX 30-series or better discrete GPU is recommended) to run advanced vision, VLA inference and RL algorithms.\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli data-start=\"3072\" data-end=\"3351\"\u003e\n\u003cp data-start=\"3074\" data-end=\"3351\"\u003eAdvanced users may choose Raspberry Pi, domestic ARM dev boards, or standalone compute modules such as \u003cstrong data-start=\"3177\" data-end=\"3199\"\u003eNVIDIA Jetson Orin\u003c\/strong\u003e or \u003cstrong data-start=\"3203\" data-end=\"3225\"\u003eNVIDIA Jetson Thor\u003c\/strong\u003e. In these cases, you are responsible for OS installation, configuration and providing stable power to the compute hardware.\u003c\/p\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch2 data-start=\"3353\" data-end=\"3384\"\u003ePackage Options \u0026amp; Contents\u003c\/h2\u003e\n\u003cp data-start=\"3386\" data-end=\"3442\"\u003e\u003cstrong data-start=\"3386\" data-end=\"3440\"\u003ePackage 1: XLeRobot Dual-Arm Robot (Assembled Kit)\u003c\/strong\u003e\u003c\/p\u003e\n\u003cul data-start=\"3443\" data-end=\"3642\"\u003e\n\u003cli data-start=\"3443\" data-end=\"3555\"\u003e\n\u003cp data-start=\"3445\" data-end=\"3555\"\u003eSO-ARM101 follower arm assembly ×2 (12 V high-torque servos, TPU-upgraded grippers, sleeves and data cables)\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli data-start=\"3556\" data-end=\"3581\"\u003e\n\u003cp data-start=\"3558\" data-end=\"3581\"\u003e2 MP camera module ×2\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli data-start=\"3582\" data-end=\"3612\"\u003e\n\u003cp data-start=\"3584\" data-end=\"3612\"\u003e12 V \/ 8 A power supply ×2\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli data-start=\"3613\" data-end=\"3642\"\u003e\n\u003cp data-start=\"3615\" data-end=\"3642\"\u003e12 V \/ 3215-C018 servo ×5\u003c\/p\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp data-start=\"3644\" data-end=\"3702\"\u003e\u003cstrong data-start=\"3644\" data-end=\"3700\"\u003ePackage 2: XLeRobot Base Expansion (Unassembled Kit)\u003c\/strong\u003e\u003c\/p\u003e\n\u003cul data-start=\"3703\" data-end=\"3869\"\u003e\n\u003cli data-start=\"3703\" data-end=\"3746\"\u003e\n\u003cp data-start=\"3705\" data-end=\"3746\"\u003e85 mm universal wheel + coupler ×3 sets\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli data-start=\"3747\" data-end=\"3772\"\u003e\n\u003cp data-start=\"3749\" data-end=\"3772\"\u003e2 MP camera module ×1\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli data-start=\"3773\" data-end=\"3869\"\u003e\n\u003cp data-start=\"3775\" data-end=\"3869\"\u003eComplete set of high-quality PLA 3D-printed parts, screws, screw seats, wiring and fasteners\u003c\/p\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp data-start=\"3871\" data-end=\"3935\"\u003e\u003cstrong data-start=\"3871\" data-end=\"3933\"\u003ePackage 3: Combo – Dual-Arm + Base Expansion (Package 1+2)\u003c\/strong\u003e\u003c\/p\u003e\n\u003cul data-start=\"3936\" data-end=\"4014\"\u003e\n\u003cli data-start=\"3936\" data-end=\"4014\"\u003e\n\u003cp data-start=\"3938\" data-end=\"4014\"\u003eIncludes \u003cstrong data-start=\"3947\" data-end=\"3989\"\u003eall items from Package 1 and Package 2\u003c\/strong\u003e with a bundle discount\u003c\/p\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp data-start=\"4016\" data-end=\"4142\"\u003e\u003cstrong data-start=\"4016\" data-end=\"4026\"\u003eNotes:\u003c\/strong\u003e Packages do \u003cstrong data-start=\"4039\" data-end=\"4046\"\u003enot\u003c\/strong\u003e include the IKEA trolley, Raspberry Pi, battery, or Intel RealSense (or other depth cameras).\u003c\/p\u003e\n\u003cp data-start=\"4144\" data-end=\"4383\" data-is-last-node=\"\" data-is-only-node=\"\"\u003eWith its open-source software stack, modular dual-arm design and extensible mobile base, WowRobo Robotics XLeRobot 0.3.0 is an ideal platform for anyone serious about embodied AI, mobile manipulation and next-generation household robotics.\u003c\/p\u003e","brand":"WowRobo Robotics","offers":[{"title":"Package 1: XLeRobot Dual-Arm Robot (Assembled Kit)","offer_id":48384613777632,"sku":"wow-xlerobot-1","price":629.0,"currency_code":"USD","in_stock":true},{"title":"Package 2: XLeRobot Base Expansion (Unassembled Kit)","offer_id":48384613810400,"sku":"wow-xlerobot-2","price":429.0,"currency_code":"USD","in_stock":true},{"title":"Package 3: Combo – Dual-Arm + Base Expansion (Package 1+2)","offer_id":48384613843168,"sku":"wow-xlerobot-3","price":1039.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0643\/3210\/3904\/files\/en-01.jpg?v=1765118684"},{"product_id":"robstride-edulite-a3-arm","title":"ROBSTRIDE Edulite A3 Robot Arm, 6-DOF Desktop Robotic Arm + Gripper, ROS2\/Python, CAN 2.0 1Mbps","description":"\u003cdiv\u003e\n\u003cvideo autoplay=\"autoplay\" controls=\"controls\" loop=\"loop\" muted=\"\" playsinline=\"\" src=\"https:\/\/cdn.shopify.com\/videos\/c\/o\/v\/5e3467b7fdbb419b95cf0023d6dcafeb.mp4\" style=\"width:100%;height:auto;display:block;\"\u003e\n    Your browser does not support the video tag.\n  \u003c\/video\u003e\u003ch2\u003eOverview\u003c\/h2\u003e\n\u003cp\u003eThe ROBSTRIDE Edulite A3 robot arm is a 6-DOF desktop robotic arm + gripper platform designed for ROS2 \/ Python development, motion planning, and interactive teaching. It supports force-position hybrid control \/ position control, CAN 2.0 (1Mbps) drive communication, and gravity-compensated drag teaching for smooth, precise manipulation.\u003c\/p\u003e\n\u003ch2\u003eKey Features\u003c\/h2\u003e\n\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003eSystem framework:\u003c\/strong\u003e ROS2 \/ Python\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eDrive protocol:\u003c\/strong\u003e Lingzu Times proprietary CAN 2.0 protocol (1Mbps)\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eMotion control:\u003c\/strong\u003e 7-segment S-curve trajectory planning + speed feedforward + multi-stage low-pass filtering for smooth, shock-reduced motion\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eGravity compensation:\u003c\/strong\u003e Pinocchio dynamics-based gravity compensation; complete dynamics model based on RNEA; supports automatic inertial parameter calibration (12 parameters, R2 \u0026gt; 0.99) for precise drag teaching\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eOperation modes:\u003c\/strong\u003e Xbox controller Cartesian real-time control (50 Hz \/ 5-speed variable); master-slave teleoperation (one-to-many \/ many-to-many)\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eSafety protection:\u003c\/strong\u003e Singularity detection and automatic recovery; joint soft and hard limit protection; self-collision and environment collision detection\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eHigh-level functions:\u003c\/strong\u003e MoveIt2 motion planning and obstacle avoidance; web-based visualization control interface\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eZero-torque mode:\u003c\/strong\u003e Gravity-compensated drag teaching and pure zero-torque master-slave teleoperation; independent joint damping adjustment\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eToolchain:\u003c\/strong\u003e One-click environment configuration; automatic inertia calibration; Foxglove remote visualization (control frequency 200 Hz); seamless switching between simulation and real robot; customizable end effector\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch2\u003eSpecifications\u003c\/h2\u003e\n\u003cdiv style=\"overflow-x:auto;\"\u003e\u003ctable style=\"width:100%;border-collapse:collapse;min-width:680px;\"\u003e\n\u003cthead\u003e\u003ctr\u003e\n\u003cth style=\"text-align:left;border-bottom:1px solid #ddd;padding:10px;\"\u003eParameter\u003c\/th\u003e\n\u003cth style=\"text-align:left;border-bottom:1px solid #ddd;padding:10px;\"\u003eValue\u003c\/th\u003e\n\u003c\/tr\u003e\u003c\/thead\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd style=\"border-bottom:1px solid #eee;padding:10px;\"\u003eProduct Name\u003c\/td\u003e\n\u003ctd style=\"border-bottom:1px solid #eee;padding:10px;\"\u003eEdulite A3\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"border-bottom:1px solid #eee;padding:10px;\"\u003eType\u003c\/td\u003e\n\u003ctd style=\"border-bottom:1px solid #eee;padding:10px;\"\u003e6-DOF desktop robotic arm + gripper\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"border-bottom:1px solid #eee;padding:10px;\"\u003eSystem Framework\u003c\/td\u003e\n\u003ctd style=\"border-bottom:1px solid #eee;padding:10px;\"\u003eROS2 \/ Python\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"border-bottom:1px solid #eee;padding:10px;\"\u003eDrive Protocol\u003c\/td\u003e\n\u003ctd style=\"border-bottom:1px solid #eee;padding:10px;\"\u003eLingzu Times proprietary CAN 2.0 protocol (1Mbps)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"border-bottom:1px solid #eee;padding:10px;\"\u003eDrive Motors\u003c\/td\u003e\n\u003ctd style=\"border-bottom:1px solid #eee;padding:10px;\"\u003eRobStride00 motor, EduLite05 motor\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"border-bottom:1px solid #eee;padding:10px;\"\u003eControl Mode\u003c\/td\u003e\n\u003ctd style=\"border-bottom:1px solid #eee;padding:10px;\"\u003eForce-position hybrid control \/ Position control\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"border-bottom:1px solid #eee;padding:10px;\"\u003ePayload Capacity (excluding gripper)\u003c\/td\u003e\n\u003ctd style=\"border-bottom:1px solid #eee;padding:10px;\"\u003eRated 500g, peak 1kg (standard posture)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"border-bottom:1px solid #eee;padding:10px;\"\u003eMax Reach\u003c\/td\u003e\n\u003ctd style=\"border-bottom:1px solid #eee;padding:10px;\"\u003e400mm\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"border-bottom:1px solid #eee;padding:10px;\"\u003eCore Features\u003c\/td\u003e\n\u003ctd style=\"border-bottom:1px solid #eee;padding:10px;\"\u003eOpen-source, high-precision motion control: 7-segment S-curve trajectory planning + speed feedforward + multi-stage low-pass filtering for smooth and shock-free motion\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"border-bottom:1px solid #eee;padding:10px;\"\u003eGravity Compensation\u003c\/td\u003e\n\u003ctd style=\"border-bottom:1px solid #eee;padding:10px;\"\u003ePinocchio dynamics-based gravity compensation, complete dynamics model based on RNEA, supports automatic inertial parameter calibration (12 parameters, R2 \u0026gt; 0.99), enabling precise drag teaching\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"border-bottom:1px solid #eee;padding:10px;\"\u003eOperation Mode\u003c\/td\u003e\n\u003ctd style=\"border-bottom:1px solid #eee;padding:10px;\"\u003eXbox controller Cartesian space real-time control (50Hz \/ 5-speed variable), master-slave teleoperation (one-to-many \/ many-to-many)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"border-bottom:1px solid #eee;padding:10px;\"\u003eSafety Protection\u003c\/td\u003e\n\u003ctd style=\"border-bottom:1px solid #eee;padding:10px;\"\u003eSingularity detection and automatic recovery, joint soft and hard limit protection, self-collision and environment collision detection\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"border-bottom:1px solid #eee;padding:10px;\"\u003eHigh-Level Functions\u003c\/td\u003e\n\u003ctd style=\"border-bottom:1px solid #eee;padding:10px;\"\u003eMoveIt2 motion planning and obstacle avoidance, web-based visualization control interface\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"border-bottom:1px solid #eee;padding:10px;\"\u003eZero-Torque Mode\u003c\/td\u003e\n\u003ctd style=\"border-bottom:1px solid #eee;padding:10px;\"\u003eSupports gravity-compensated drag teaching and pure zero-torque master-slave teleoperation; independent joint damping adjustment\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"border-bottom:1px solid #eee;padding:10px;\"\u003eToolchain\u003c\/td\u003e\n\u003ctd style=\"border-bottom:1px solid #eee;padding:10px;\"\u003eOne-click environment configuration, automatic inertia calibration, Foxglove remote visualization (control frequency 200 Hz), support for seamless switching between simulation and real robot, customizable end effector\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\u003c\/div\u003e\n\u003ch2\u003eManuals\u003c\/h2\u003e\n\u003cp\u003e\u003ca href=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0673\/6848\/5000\/files\/Ti5_Arm_Series-Product_Manual.pdf?v=1758180747\" rel=\"noopener\" target=\"_blank\"\u003eTi5 Arm Series - Product Manual (PDF)\u003c\/a\u003e\u003c\/p\u003e\n\u003cp\u003eFor pre-sales and integration support for the Edulite A3 robot arm, contact support@rcdrone.top or visit https:\/\/rcdrone.top\/.\u003c\/p\u003e\n\u003c\/div\u003e\u003ch2 id=\"details\"\u003eDetails\u003c\/h2\u003e\u003cdiv class=\"details-gallery\"\u003e\n\u003cimg alt=\"ROBSTRIDE Edulite A3 robot arm with gripper end effector, angled view with EDULITE A3 branding\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/ROBSTRIDE-Edulite-A3-Robot-Arm.png?v=1779550879\"\u003e\u003cp\u003eA compact 6‑DOF desktop robot arm + gripper platform built for ROS2\/Python development, motion planning, and hands‑on teaching.\u003c\/p\u003e\n\u003cimg alt=\"Edulite A3 desktop robotic arm on workbench, orange-and-black 6-axis arm with parallel gripper\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/ROBSTRIDE-Edulite-A3-Robot-Arm.jpg?v=1779550888\"\u003e\u003cp\u003eDesigned for benchtop labs and classrooms, with a stable base and integrated gripper for manipulation demos and projects.\u003c\/p\u003e\n\u003cimg alt=\"Edulite A3 product parameters chart listing ROS2\/Python framework, CAN 2.0 (1 Mbps), payload, and 400 mm reach\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/ROBSTRIDE-Edulite-A3-Robot-Arm_6cc4a2a5-2dd8-4f83-9035-6a3ef5867651.png?v=1779550895\"\u003e\n\u003c\/div\u003e","brand":"ROBSTRIDE","offers":[{"title":"Edulite A3","offer_id":52686849376480,"sku":"ROBSTRIDE_Edu_817e1e-1","price":1114.75,"currency_code":"USD","in_stock":true},{"title":"Actuation Kit","offer_id":52686849409248,"sku":"ROBSTRIDE_Edu_817e1e-2","price":919.25,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0643\/3210\/3904\/files\/ROBSTRIDE-Edulite-A3-Robot-Arm-6-DOF-Desktop-Robotic-Arm.jpg?v=1779550982"},{"product_id":"yahboom-raspbot-v2-robot","title":"Yahboom Raspbot V2 Raspberry Pi 5 Robot Car Kit, AI Vision Mecanum 360°, 2DOF PTZ, ROS2 Humble","description":"\u003ch2\u003eOverview\u003c\/h2\u003e\u003cp\u003e\u003cstrong\u003eRaspbot V2 is a robot car\u003c\/strong\u003e designed for Raspberry Pi 5 learning and AI development. It uses a metal body bracket and Mecanum wheels for 360° omnidirectional movement, and combines a 1MP USB camera with a 2DOF PTZ to support AI visual recognition and interaction. Development is based on Raspberry Pi 5 with Python, and it supports Raspberry Pi OS and ROS2 Humble for robotics and perception projects.\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eNote:\u003c\/strong\u003e Only the \u003cstrong\u003eSuperior Version\u003c\/strong\u003e supports AI large model features and AI voice interaction.\u003c\/p\u003e\u003ch2\u003eKey Features\u003c\/h2\u003e\u003ch3\u003eAI vision recognition (OpenCV + MediaPipe)\u003c\/h3\u003e\u003cul\u003e\n\u003cli\u003eColor recognition\u003c\/li\u003e\n\u003cli\u003eLicense plate recognition (recognition results can be displayed on the OLED in real time)\u003c\/li\u003e\n\u003cli\u003eHuman posture estimation (33 key point coordinates)\u003c\/li\u003e\n\u003cli\u003eYOLOv5-lite object recognition\u003c\/li\u003e\n\u003cli\u003eGarbage recognition (recognition results can be displayed on the OLED in real time)\u003c\/li\u003e\n\u003cli\u003eGesture recognition \/ interaction features including brush and finger control\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch3\u003eAI visual interaction (2DOF camera PTZ)\u003c\/h3\u003e\u003cul\u003e\n\u003cli\u003eColor recognition \/ tracking \/ following\u003c\/li\u003e\n\u003cli\u003eFace detection \/ tracking \/ following\u003c\/li\u003e\n\u003cli\u003eGesture control (supports recognition of 14 types of gestures; supports controlling movement forward, backward, left, and right through gestures)\u003c\/li\u003e\n\u003cli\u003eQR code control (performs movements based on recognized QR information)\u003c\/li\u003e\n\u003cli\u003eAprilTag tag code recognition \/ tracking \/ following\u003c\/li\u003e\n\u003cli\u003eVisual line tracking\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch3\u003eOmnidirectional mobility\u003c\/h3\u003e\u003cul\u003e\n\u003cli\u003eMecanum Wheel 360° omnidirectional movement (forward, sideways, diagonal, rotation)\u003c\/li\u003e\n\u003cli\u003e4-channel independent drive motors\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch3\u003eSensor and accessory expansion\u003c\/h3\u003e\u003cul\u003e\n\u003cli\u003eMultifunctional robot drive expansion board\u003c\/li\u003e\n\u003cli\u003eSupports connecting: 4-channel tracking sensor, ultrasonic sensor, OLED display, RGB light bar\u003c\/li\u003e\n\u003cli\u003eSensor Expansion functions listed: OLED data display, ultrasonic avoiding, ultrasonic tracking, infrared tracking\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch3\u003eAI autonomous driving (listed functions)\u003c\/h3\u003e\u003cul\u003e\n\u003cli\u003eSpeed limit sign recognition\u003c\/li\u003e\n\u003cli\u003eTraffic light recognition\u003c\/li\u003e\n\u003cli\u003eHorn sign recognition\u003c\/li\u003e\n\u003cli\u003eTrack map\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch3\u003eSuperior Version: large model + voice interaction (only for Superior version)\u003c\/h3\u003e\u003cul\u003e\n\u003cli\u003eMultimodal Large Model Embodied Intelligence: voice interaction, scenario understanding, intent prediction, customized RAG knowledge base\u003c\/li\u003e\n\u003cli\u003eNew AI Large Model Features: integrates visual, audio, and text information for environmental perception, task planning, and dynamic execution\u003c\/li\u003e\n\u003cli\u003eUpgraded AI large model voice module: supports far-field voice pickup, echo cancellation, and ambient noise reduction; recognizes voice commands and responds naturally\u003c\/li\u003e\n\u003cli\u003eBuilt-in speech recognition and natural language processing; combined with speakers for voice commands and question-and-answer interaction\u003c\/li\u003e\n\u003cli\u003eUpgraded offline voice interaction control: control movement, light strip changes, color recognition, autonomous driving, and tracking tasks without a large model\u003c\/li\u003e\n\u003cli\u003eBuilt-in three AI models: Large language model, Voice large model, Vision large model\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch2\u003eSpecifications\u003c\/h2\u003e\u003ctable\u003e\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003eProduct\u003c\/td\u003e\n\u003ctd\u003eRASPBOT V2 \/ Raspbot V2\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eMain control\u003c\/td\u003e\n\u003ctd\u003eRaspberry Pi 5 (4GB\/8GB\/16GB)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eProgramming language\u003c\/td\u003e\n\u003ctd\u003ePython\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eSupported system\u003c\/td\u003e\n\u003ctd\u003eRaspberry Pi OS\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eROS system\u003c\/td\u003e\n\u003ctd\u003eROS2 Humble\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eChassis \/ drive\u003c\/td\u003e\n\u003ctd\u003eMecanum wheels; 4-channel independent drive motors\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eCamera\u003c\/td\u003e\n\u003ctd\u003e1MP USB camera\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003ePTZ\u003c\/td\u003e\n\u003ctd\u003e2DOF camera PTZ; 180° horizontal rotation; 110° vertical rotation\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003ePower to Raspberry Pi 5 (supported)\u003c\/td\u003e\n\u003ctd\u003e5.1V\/5A (Raspberry Pi 5 power supply protocol)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eRaspberry Pi 5 performance statement\u003c\/td\u003e\n\u003ctd\u003e2–3 times the performance of Raspberry Pi 4B (as stated)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\u003c\/table\u003e\u003ch2\u003eVersion Comparison (as listed)\u003c\/h2\u003e\u003ctable\u003e\n\u003cthead\u003e\u003ctr\u003e\n\u003cth\u003eItem\u003c\/th\u003e\n\u003cth\u003eStandard Version\u003c\/th\u003e\n\u003cth\u003eSuperior Version\u003c\/th\u003e\n\u003c\/tr\u003e\u003c\/thead\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003eMaster Control\u003c\/td\u003e\n\u003ctd\u003eRaspberry Pi 5 (4GB\/8GB\/16GB)\u003c\/td\u003e\n\u003ctd\u003eRaspberry Pi 5 (4GB\/8GB\/16GB)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eAI large model voice module\u003c\/td\u003e\n\u003ctd\u003e\/\u003c\/td\u003e\n\u003ctd\u003eSupported\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eAI large model function\u003c\/td\u003e\n\u003ctd\u003e\/\u003c\/td\u003e\n\u003ctd\u003eSupported\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eAI voice interaction\u003c\/td\u003e\n\u003ctd\u003e\/\u003c\/td\u003e\n\u003ctd\u003eSupported\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eAI visual interaction\u003c\/td\u003e\n\u003ctd\u003eSupported\u003c\/td\u003e\n\u003ctd\u003eSupported\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eMaster control system\u003c\/td\u003e\n\u003ctd\u003eRaspberry Pi OS\u003c\/td\u003e\n\u003ctd\u003eRaspberry Pi OS\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eROS system\u003c\/td\u003e\n\u003ctd\u003eROS2 Humble\u003c\/td\u003e\n\u003ctd\u003eROS2 Humble\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eRecommended users\u003c\/td\u003e\n\u003ctd\u003eSuitable for learning AI vision functions\u003c\/td\u003e\n\u003ctd\u003eSuitable for learning AI large model, AI voice interaction, and AI vision function applications\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\u003ch2\u003eApplications\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003eRaspberry Pi 5 robotics learning and sensor practice\u003c\/li\u003e\n\u003cli\u003eOpenCV \/ MediaPipe computer vision experiments (tracking, recognition, posture estimation)\u003c\/li\u003e\n\u003cli\u003eROS2 Humble beginner projects and course\/competition projects\u003c\/li\u003e\n\u003cli\u003eEmbodied intelligence demos (Superior Version)\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch2\u003eManuals \/ Tutorials\u003c\/h2\u003e\u003cul\u003e\u003cli\u003e\u003ca href=\"http:\/\/www.yahboom.net\/study\/RASPBOT-V2\" rel=\"noopener\" target=\"_blank\"\u003eRASPBOT-V2 Tutorials\u003c\/a\u003e\u003c\/li\u003e\u003c\/ul\u003e\u003ch2\u003eVideos\u003c\/h2\u003e\u003ciframe height=\"695\" src=\"https:\/\/www.youtube.com\/embed\/meVafbqFokw\" title=\"Upgraded AI Large Model Robot Car Sees, Thinks, and Drives Itself! (RPi 5 + OpenCV)  Raspbot V2\" width=\"1236\"\u003e\u003c\/iframe\u003e\u003ciframe height=\"420\" src=\"https:\/\/www.youtube.com\/embed\/FG42MuDgjYo\" title=\"Raspbot V2 AI Vision Robot Car\" width=\"600\"\u003e\u003c\/iframe\u003e\u003cp\u003eFor pre-sales compatibility questions or after-sales help, contact support at \u003ca href=\"https:\/\/rcdrone.top\/\" rel=\"noopener\" target=\"_blank\"\u003ehttps:\/\/rcdrone.top\/\u003c\/a\u003e or email \u003ca href=\"mailto:support@rcdrone.top\"\u003esupport@rcdrone.top\u003c\/a\u003e.\u003c\/p\u003e\u003ch2 id=\"details\"\u003eDetails\u003c\/h2\u003e\u003cdiv class=\"details-gallery\"\u003e\n\u003cimg alt=\"Yahboom Raspbot V2 Raspberry Pi 5 robot car with mecanum wheels and 2DOF camera PTZ for AI vision\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Raspbot-V2-AI-Large-Model-Robot-Car-for-Raspberry-Pi-5.jpg?v=1782103702\"\u003e\u003cp\u003eRaspbot V2 is built for Raspberry Pi 5 learning, combining omnidirectional mecanum drive with a PTZ camera for AI vision projects.\u003c\/p\u003e\n\u003cimg alt=\"Product intro graphic for Raspbot V2 Raspberry Pi 5 AI robot car with camera PTZ, sensors, and expansion ports\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Raspbot-V2-AI-Large-Model-Robot-Car-for-Raspberry-Pi-5_af630c1a-50b1-4913-872b-838d0a6f92d5.jpg?v=1782103708\"\u003e\u003cp\u003eDesigned for Python development on Raspberry Pi OS and ROS2 Humble, with room to expand into sensors, displays, and interaction modules.\u003c\/p\u003e\n\u003cimg alt=\"Feature overview: multimodal large model, AI visual recognition, interaction, autonomous driving, sensor expansion, and tutorials\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Raspbot-V2-AI-Large-Model-Robot-Car-for-Raspberry-Pi-5_40b277d3-0d1e-4df0-b6a1-f5aee15fe437.jpg?v=1782103715\"\u003e\u003cp\u003eA wide set of demos and course content supports everything from visual recognition to autonomous-driving exercises.\u003c\/p\u003e\n\u003cimg alt=\"Embodied intelligence upgrade highlights including large language\/voice\/vision models and voice module options\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Raspbot-V2-AI-Large-Model-Robot-Car-for-Raspberry-Pi-5_deff47e6-be4e-482f-a014-5271765d441b.jpg?v=1782103721\"\u003e\u003cp\u003eSuperior Version adds large-model features and voice interaction for multimodal perception and natural command control.\u003c\/p\u003e\n\u003cimg alt=\"Raspberry Pi 5 platform graphic with version comparison between Standard and Superior Raspbot V2 kits\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Raspbot-V2-AI-Large-Model-Robot-Car-for-Raspberry-Pi-5_f0c05027-6f96-414d-81b2-c8f2d292a6d7.jpg?v=1782103728\"\u003e\u003cp\u003eChoose Standard or Superior based on whether large-model AI and voice interaction are needed for your projects.\u003c\/p\u003e\n\u003cimg alt=\"Course category table listing Raspbot V2 lessons for programming, vision, tracking, sensors, and ROS-related topics\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Raspbot-V2-AI-Large-Model-Robot-Car-for-Raspberry-Pi-5_4bdaac32-2d9d-42d7-bf9f-70335e14c044.jpg?v=1782103734\"\u003e\u003cp\u003eCourse modules progress from setup and basic motion to vision tracking, sensor behaviors, and robotics workflows.\u003c\/p\u003e\n\u003cimg alt=\"Large model deployment graphic showing Raspbot V2 robot, AI voice module, and laptop model interface\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Raspbot-V2-AI-Large-Model-Robot-Car-for-Raspberry-Pi-5_5c2e0de7-3142-43fe-8635-0c25596efce0.jpg?v=1782103740\"\u003e\u003cp\u003eMultimodal workflows connect vision and audio to planning tasks, customizing a knowledge base, and executing commands.\u003c\/p\u003e\n\u003cimg alt=\"Video tutorial library graphic promoting practical lessons with English subtitles for Raspbot V2 functions\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Raspbot-V2-AI-Large-Model-Robot-Car-for-Raspberry-Pi-5_c68e46d5-99f0-4ed7-bc00-1424a336d888.jpg?v=1782103746\"\u003e\u003cp\u003eHands-on video tutorials with English subtitles help teams move from first run to advanced demos faster.\u003c\/p\u003e\n\u003cimg alt=\"Built-in three AI models graphic: large language model, voice large model module, and vision large model capabilities\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Raspbot-V2-AI-Large-Model-Robot-Car-for-Raspberry-Pi-5_bb54a104-0dcd-48d9-8ab6-1c4ea9e44782.jpg?v=1782103754\"\u003e\u003cp\u003eLarge language, voice, and vision capabilities work together for interactive demos and scene understanding.\u003c\/p\u003e\n\u003cimg alt=\"Multimodal application examples: autonomous cruise and visual tracking\/following with on-screen recognition boxes\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Raspbot-V2-AI-Large-Model-Robot-Car-for-Raspberry-Pi-5_e91e689f-b1de-4851-980c-94548bfa57ed.jpg?v=1782103762\"\u003e\u003cp\u003eTry autonomous cruise and target following using visual recognition plus semantic instructions (Superior Version).\u003c\/p\u003e\n\u003cimg alt=\"Embodied intelligence applications: robot collaboration and scene understanding with labeled objects in view\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Raspbot-V2-AI-Large-Model-Robot-Car-for-Raspberry-Pi-5_d749830b-7b3d-4cfe-9ef2-a06e76d34f3e.jpg?v=1782103768\"\u003e\u003cp\u003eScene understanding and task collaboration demos turn recognized objects into actionable navigation and responses.\u003c\/p\u003e\n\u003cimg alt=\"AI visual recognition examples: license plate, human pose, YOLOv5-lite objects, garbage, brush and finger control\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Raspbot-V2-AI-Large-Model-Robot-Car-for-Raspberry-Pi-5_cee082dd-e888-44db-8f9e-fff319bc6104.jpg?v=1782103775\"\u003e\u003cp\u003eVision demos include pose estimation, object detection, and interactive controls like brush and finger tracking.\u003c\/p\u003e\n\u003cimg alt=\"AI visual interaction functions: color tracking, face detection, gesture control, QR control, and AprilTag recognition\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Raspbot-V2-AI-Large-Model-Robot-Car-for-Raspberry-Pi-5_8a704fdd-a922-4410-b4d3-b93316971806.jpg?v=1782103781\"\u003e\u003cp\u003eInteractive modes cover color\/face tracking, gesture commands, QR control, and AprilTag-based navigation.\u003c\/p\u003e\n\u003cimg alt=\"AI voice interaction panel: color Q\u0026amp;A, light strip color change, voice car movement, and object tracking controls\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Raspbot-V2-AI-Large-Model-Robot-Car-for-Raspberry-Pi-5_18d458ca-f072-4679-b811-02c842ea455a.jpg?v=1782103787\"\u003e\u003cp\u003eVoice commands can drive movement, trigger lighting changes, and start tracking behaviors (Superior Version).\u003c\/p\u003e\n\u003cimg alt=\"Omnidirectional mobility and camera detail: mecanum wheel 360° movement and 2DOF PTZ rotation angles\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Raspbot-V2-AI-Large-Model-Robot-Car-for-Raspberry-Pi-5_580d172b-9d1f-4a37-92fc-ee004daeb043.jpg?v=1782103793\"\u003e\u003cp\u003eMecanum wheels enable sideways, diagonal, and in-place rotation, while the 2DOF PTZ helps keep targets centered.\u003c\/p\u003e\n\u003cimg alt=\"Two tracking modes graphic: 4-channel infrared line sensor tracking and camera-based visual line tracking\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Raspbot-V2-AI-Large-Model-Robot-Car-for-Raspberry-Pi-5_380f077d-a77c-4565-9ed1-cfff1cbe9397.jpg?v=1782103799\"\u003e\u003cp\u003eSwitch between infrared line following and camera-based visual tracking depending on the course scenario.\u003c\/p\u003e\n\u003cimg alt=\"AI visual tracking functions on driving map: turn decisions, honk sign recognition, traffic light recognition, line tracking\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Raspbot-V2-AI-Large-Model-Robot-Car-for-Raspberry-Pi-5_55e18348-41da-407c-9138-bec5e4979c5e.jpg?v=1782103805\"\u003e\u003cp\u003eAutonomous-driving exercises include turn decisions plus recognition of traffic lights and road signs.\u003c\/p\u003e\n\u003cimg alt=\"Autonomous driving map accessory image showing printed PVC track map for Raspbot V2 training scenarios\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Raspbot-V2-AI-Large-Model-Robot-Car-for-Raspberry-Pi-5_bc774bc8-b840-4cdd-a7b5-e80d98403a53.jpg?v=1782103811\"\u003e\u003cp\u003eAdd the optional driving map to practice route planning, line tracking, and sign\/traffic-light challenges.\u003c\/p\u003e\n\u003cimg alt=\"Sensor movement functions graphic for Yahboom Raspbot V2 robot: ultrasonic avoid\/follow, infrared tracking, buzzer\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Raspbot-V2-AI-Large-Model-Robot-Car-for-Raspberry-Pi-5_becb4729-3047-461f-98d2-8f2869cec15a.jpg?v=1782103816\"\u003e\u003cp\u003eYahboom Raspbot V2 supports ultrasonic obstacle avoidance and follow modes, infrared tracking, and a buzzer whistle function.\u003c\/p\u003e\n\u003cimg alt=\"Yahboom Raspbot V2 Raspberry Pi robot car with app, PC (JupyterLab), and infrared remote control options\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Raspbot-V2-AI-Large-Model-Robot-Car-for-Raspberry-Pi-5_a60bd0ec-98db-471e-84d1-982606d97cfc.jpg?v=1782103823\"\u003e\u003cp\u003eYahboom Raspbot V2 supports app control (iOS\/Android), PC control via JupyterLab, and infrared remote control for flexible operation.\u003c\/p\u003e\n\u003cimg alt=\"Yahboom Raspbot V2 graphic showing ROS2 Humble support and RViz simulation with robot and laptop UI\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Raspbot-V2-AI-Large-Model-Robot-Car-for-Raspberry-Pi-5_d0b4cd93-03ec-4ed9-85ec-0d2616db5873.jpg?v=1782103829\"\u003e\u003cp\u003eYahboom Raspbot V2 supports ROS2 Humble and RViz simulation for visualizing robot movement and camera images during development.\u003c\/p\u003e\n\u003cimg alt=\"Screenshot of Yahboom Raspbot V2 tutorial page showing downloads for tutorials, codes, and course folders\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Raspbot-V2-AI-Large-Model-Robot-Car-for-Raspberry-Pi-5_1e39f6c8-3db6-4728-9beb-42624428e0c7.jpg?v=1782103835\"\u003e\u003cp\u003eYahboom Raspbot V2 resources are organized into downloadable tutorial and code folders for different modules and courses.\u003c\/p\u003e\n\u003cimg alt=\"Resource guide screenshot for Yahboom Raspbot V2, showing development folders, course files, tutorials, and support links\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Raspbot-V2-AI-Large-Model-Robot-Car-for-Raspberry-Pi-5_8823b619-7857-482c-b415-733715b2bb12.jpg?v=1782103842\"\u003e\u003cp\u003eYahboom Raspbot V2 comes with organized course materials, video tutorials, and after-sales support resources to help with setup and learning.\u003c\/p\u003e\n\u003cimg alt=\"Infographic for Yahboom Raspbot V2 showing dual-model reasoning architecture and dynamic feedback reasoning flow\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Raspbot-V2-AI-Large-Model-Robot-Car-for-Raspberry-Pi-5_e69921c0-b653-466f-b9f9-f712c3f8bf8d.jpg?v=1782103848\"\u003e\u003cp\u003eYahboom Raspbot V2 uses a dual-model reasoning architecture with dynamic feedback actions to complete tasks step by step.\u003c\/p\u003e\n\u003cimg alt=\"Yahboom Raspbot V2 Raspberry Pi 5 robot infographic showing RAG retrieval enhancement and conversation interruption support\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Raspbot-V2-AI-Large-Model-Robot-Car-for-Raspberry-Pi-5_c25a75a0-9adc-442d-a560-98ce46a0936b.jpg?v=1782103854\"\u003e\u003cp\u003eYahboom Raspbot V2 adds RAG-based knowledge Q\u0026amp;A and supports free conversation interruption for smoother voice interactions.\u003c\/p\u003e\n\u003cimg alt=\"Exploded view of Yahboom Raspbot V2 Raspberry Pi robot with metal chassis, Mecanum wheels, camera and OLED module\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Raspbot-V2-AI-Large-Model-Robot-Car-for-Raspberry-Pi-5_3f83f118-2cdc-4830-9506-8cdc603316e1.jpg?v=1782103861\"\u003e\u003cp\u003eThe Yahboom Raspbot V2 uses a stacked, modular layout with a metal body, Mecanum wheels, and plug-in camera and sensor modules for Raspberry Pi builds.\u003c\/p\u003e\n\u003cimg alt=\"Labeled Raspberry Pi 5 robot driver board for Yahboom Raspbot V2 with Type-C power, motor ports, I2C and OLED headers\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Raspbot-V2-AI-Large-Model-Robot-Car-for-Raspberry-Pi-5_a5eaed5a-4dff-47b9-8908-dfe17b496835.jpg?v=1782103867\"\u003e\u003cp\u003eThe Raspbot V2 Raspberry Pi 5 robot driver board provides clearly labeled connections for Type‑C power, motor outputs, I2C\/OLED, ultrasonic, and servo interfaces.\u003c\/p\u003e\n\u003cimg alt=\"Yahboom Raspbot V2 dimensions (mm) and spec table for Raspberry Pi 5 ROS2 Humble robot car kit\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Raspbot-V2-AI-Large-Model-Robot-Car-for-Raspberry-Pi-5_58aec7ba-f42d-4027-bf7d-eb105fb09e12.jpg?v=1782103873\"\u003e\u003cp\u003eYahboom Raspbot V2 includes mm dimension drawings and a quick spec list for the Raspberry Pi 5 master controller and ROS2 Humble support.\u003c\/p\u003e\n\u003cimg alt=\"Yahboom Raspbot V2 shipping list graphic with robot car, Raspberry Pi 5, camera module, battery, charger, and accessories\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Raspbot-V2-AI-Large-Model-Robot-Car-for-Raspberry-Pi-5_0835e706-5b2a-444c-830a-ecfc24ebe7c8.jpg?v=1782103879\"\u003e\u003cp\u003eThe Yahboom Raspbot V2 kit includes the robot car chassis plus key parts like a Raspberry Pi, camera module, battery, charger, and small assembly accessories.\u003c\/p\u003e\n\u003c\/div\u003e","brand":"Yahboom","offers":[{"title":"Standard Kit \/ Without RPi","offer_id":53125966528736,"sku":"6000200649-1","price":162.44,"currency_code":"USD","in_stock":true},{"title":"Standard Kit \/ With RPi5-4G","offer_id":53125966561504,"sku":"6000200649-2","price":454.94,"currency_code":"USD","in_stock":true},{"title":"Standard Kit \/ With RPi5-8G","offer_id":53125966594272,"sku":"6000200649-3","price":548.54,"currency_code":"USD","in_stock":true},{"title":"Standard Kit \/ With RPi5-16G","offer_id":53125966627040,"sku":"6000200649-4","price":642.14,"currency_code":"USD","in_stock":true},{"title":"Superior Kit \/ Without RPi","offer_id":53125966659808,"sku":"6000200649-5","price":197.54,"currency_code":"USD","in_stock":true},{"title":"Superior Kit \/ With RPi5-4G","offer_id":53125966692576,"sku":"6000200649-6","price":490.04,"currency_code":"USD","in_stock":true},{"title":"Superior Kit \/ With RPi5-8G","offer_id":53125966725344,"sku":"6000200649-7","price":583.64,"currency_code":"USD","in_stock":true},{"title":"Superior Kit \/ With RPi5-16G","offer_id":53125966758112,"sku":"6000200649-8","price":677.24,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0643\/3210\/3904\/files\/Yahboom_Raspbot_V2_AI_Robot_Car_Kit.jpg?v=1782029556"},{"product_id":"yahboom-dofbot-ai-robot-arm","title":"Yahboom DOFBOT AI Large Model Vision Robotic Arm Kit for Raspberry Pi 5, ROS2 Humble, Python3, USB Camera","description":"\u003ch2\u003eOverview\u003c\/h2\u003e\u003cp\u003eThe Yahboom DOFBOT AI Large Model Vision Robotic Arm is a desktop robotic arm kit designed for ROS2 development and AI vision learning on Raspberry Pi 5. It combines a 6-DOF robotic arm with a USB camera for vision-based grasping, tracking, and interactive AI applications, and supports programming with Python3, OpenCV, and ROS2 Humble (Docker + ROS2 Humble is specified).\u003c\/p\u003e\u003cp\u003eIt supports cross-platform control including mobile APP (iOS\/Android), PC host computer control, controller\/handle control, and JupyterLab web-based programming.\u003c\/p\u003e\u003ch3\u003eVideo\u003c\/h3\u003e\u003cp style=\"text-align:center;\"\u003e\u003ciframe height=\"751\" src=\"https:\/\/www.youtube.com\/embed\/cVIAQJe-gYc\" title=\"What can Yahboom ai large model robotic arm do for you\" width=\"1335\"\u003e\u003c\/iframe\u003e\u003ciframe height=\"420\" src=\"https:\/\/www.youtube.com\/embed\/chOXNSaNxSg\" title=\"Yahboom DOFBOT video\" width=\"600\"\u003e\u003c\/iframe\u003e\u003c\/p\u003e\u003ch2\u003eKey Features\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003e6 degrees of freedom\u003c\/strong\u003e with camera + robotic arm integration (\"6-DOF Camera and Robotic Arm 2 in 1\").\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eAI large model functions\u003c\/strong\u003e (as described): multimodal fusion, natural speech dialogue, text semantic understanding, visual scene understanding, and a scalable RAG knowledge base.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eAI vision interactions\u003c\/strong\u003e: color recognition tracking, object tracking, gesture-related interactions, grasping\/sorting demos, and more.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eROS2 development stack\u003c\/strong\u003e: ROS2 Humble (noted as “ROS2 Humble” and “Docker+ROS2 Humble”), with MoveIt motion planning and RViz robot simulation listed.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eAlgorithm frameworks listed\u003c\/strong\u003e: inverse kinematics algorithm, YOLOv11, OpenCV, MediaPipe; TensorRT acceleration is mentioned for millisecond-level real-time inference.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eUser-friendly hardware design\u003c\/strong\u003e: OLED display for IP address and Raspberry Pi CPU information; chassis with suction cups for stability; 12V 5A adapter for continuous power.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eExtensibility\u003c\/strong\u003e: expansion board stated as compatible with Jetson NANO, Raspberry Pi, Arduino, and Micro:bit; reserved interfaces include 6 bus-servo + 6 PWM-servo, wireless controller receiver, WiFi\/Bluetooth module, I2C, and ultrasonic module interfaces.\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch2\u003eSpecifications\u003c\/h2\u003e\u003ctable border=\"1\" cellpadding=\"6\" cellspacing=\"0\"\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eProduct\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eDOFBOT AI Large Model Visual Robotic Arm\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eDegree of freedom\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e6\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eArm span\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e350 mm\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eGripper open-close\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e6 cm\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eRepeatable positioning accuracy\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e±0.5 mm\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eStructure type\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eTraditional robotic arm structure\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eCamera\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eUSB HD camera (a 0.3MP camera is stated in the provided tutorial text)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eVisual dimension\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003ePlane 2D image\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eVoice\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eAI large model voice module + speaker (listed on the recommendation\/spec table)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eDisplay\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e\/\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eFunctions listed\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eInterconnection control; MoveIt motion planning; RViz robot simulation; 2D visual interaction; voice interaction; AI large model\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/table\u003e\u003ch3\u003eRaspberry Pi 5 (listed in product materials)\u003c\/h3\u003e\u003ctable border=\"1\" cellpadding=\"6\" cellspacing=\"0\"\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eCPU\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eBroadcom BCM2712, 64-bit, 2.4GHz, Quad core Cortex A76\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eGPU\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eVideoCore VII @ 800MHz\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/table\u003e\u003ch3\u003eRaspberry Pi 5 vs Raspberry Pi 4B (comparison table text)\u003c\/h3\u003e\u003ctable border=\"1\" cellpadding=\"6\" cellspacing=\"0\"\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eCPU\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eRaspberry Pi 5: Broadcom BCM2712; Quad core Cortex-A76 (ARM v8\/64 bit SoC)\u003cbr\u003eRaspberry Pi 4B: Broadcom BCM2711; Quad core Cortex-A72 (ARM v8\/64 bit SoC)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eGPU\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eRaspberry Pi 5: 800 MHz VideoCore VII; Support OpenGLES3.1, Vulkan 1.2\u003cbr\u003eRaspberry Pi 4B: 600 MHz VideoCore VI; Support OpenGLES3.0\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eMemory\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eRaspberry Pi 5: LPDDR4X-4267 SDRAM\u003cbr\u003eRaspberry Pi 4B: LPDDR4-3200 SDRAM\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eUART\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eRaspberry Pi 5: Dedicated UART interface (3 pins JST)\u003cbr\u003eRaspberry Pi 4B: No\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eFan interface\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eRaspberry Pi 5: PWM control and tacho Feedback (4 pins JST)\u003cbr\u003eRaspberry Pi 4B: No\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eUSB interface\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eRaspberry Pi 5: 2xUSB Support 5Gbps Run synchronously; 2xUSB2.0 (the position is symmetrical to PI4B)\u003cbr\u003eRaspberry Pi 4B: 2xUSB 3.0, 2x USB 2.0\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eCSI interface\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eRaspberry Pi 5: 2x4lane MIPI Camera Or Display\u003cbr\u003eRaspberry Pi 4B: 1x2lane MIPICamera 15pin port\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eDSI interface\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eRaspberry Pi 5: Bidirectional transmission interface 22pin port\u003cbr\u003eRaspberry Pi 4B: 1x2lane MIPI Display 15pin port\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eHDMI\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eBoth: 2 micro HDMI ports\u003cbr\u003eRaspberry Pi 5: Can support dual-channel 4Kp60 and HDR\u003cbr\u003eRaspberry Pi 4B: Can support single channel 4Kp60 or dual channel 4Kp30\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003ePCIe\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eRaspberry Pi 5: 1PCS PCIe2.0X1 interface FPC connector\u003cbr\u003eRaspberry Pi 4B: No\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eAudio and video interfaces\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eRaspberry Pi 5: None (Provide 0.1-pitch pads)\u003cbr\u003eRaspberry Pi 4B: Yes\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003ePower input\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eRaspberry Pi 5: 5V\/5A DC via USB-C interface (supports PD); 5V\/5A DC via GPIO interface\u003cbr\u003eRaspberry Pi 4B: 5V\/3A DC via USB-C interface (PD not supported); 5V\/3A DC via GPIO interface\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eOther interfaces\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eRaspberry Pi 5: POE passes a separate new POEHAT (network port location change)\u003cbr\u003eRaspberry Pi 4B: POE via independent POE HAT\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/table\u003e\u003ch3\u003eROS configuration differences (Standard Version vs Superior Version)\u003c\/h3\u003e\u003ctable border=\"1\" cellpadding=\"6\" cellspacing=\"0\"\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eAI large model voice module\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eStandard: \/\u003cbr\u003eSuperior: ✓\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eAI Large Model Play\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eStandard: \/\u003cbr\u003eSuperior: ✓\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eAI Visual Interaction\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eStandard: ✓\u003cbr\u003eSuperior: ✓\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eROS System\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eDocker + ROS2 Humble\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eRecommended\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eStandard: Suitable for learning AI vision functions\u003cbr\u003eSuperior: Suitable for learning AI largemodels, AI voice interaction, and AI vision function applications\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/table\u003e\u003ch2\u003eWhat's Included\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003eAssembled robotic arm\u003c\/li\u003e\n\u003cli\u003eMatching color-printed map\u003c\/li\u003e\n\u003cli\u003e4 different color blocks\u003c\/li\u003e\n\u003cli\u003ePS2 gamepad\u003c\/li\u003e\n\u003cli\u003eTF card with image system\u003c\/li\u003e\n\u003cli\u003eYahboom special cooling HAT\u003c\/li\u003e\n\u003cli\u003e12V 5A power adapter\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003eNote: A demonstration note indicates “The trash can is a display prop and is not in shipping list.”\u003c\/p\u003e\u003ch2\u003eApplications\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003eAI vision functions and gameplay examples listed: gesture recognition, color recognition, visual positioning, garbage sorting, catch game, face tracking, and building blocks stacking.\u003c\/li\u003e\n\u003cli\u003eAI vision interactive functions described: color recognition tracking; catch game (map recognition area); grab color blocks; color interaction; garbage sorting; color block stacking.\u003c\/li\u003e\n\u003cli\u003eMultimodal large model application examples listed: video analysis; long-command motion control; intelligent handling; 3D space sorting.\u003c\/li\u003e\n\u003cli\u003eMoveIt simulation control and trajectory planning (with collision detection and spatial gripping) are listed for virtual environment verification.\u003c\/li\u003e\n\u003cli\u003eDeep learning model training is supported; a note indicates model training needs to be done by the user.\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch2\u003eManuals\u003c\/h2\u003e\u003cul\u003e\u003cli\u003e\u003ca href=\"http:\/\/www.yahboom.net\/study\/Dofbot-Pi\" rel=\"noopener\" target=\"_blank\"\u003eYahboom DOFBOT-Pi tutorial\u003c\/a\u003e\u003c\/li\u003e\u003c\/ul\u003e\u003cp\u003eFor pre-sales questions, kit version selection, or technical support, contact support@rcdrone.top or visit https:\/\/rcdrone.top\/.\u003c\/p\u003e\u003ch2 id=\"details\"\u003eDetails\u003c\/h2\u003e\u003cdiv class=\"details-gallery\"\u003e\n\u003cimg alt=\"DOFBOT AI vision robotic arm kit recommendation chart with 6-DOF, 350mm reach, USB camera and ROS2 features\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Yahboom-DOFBOT-AI-Large-Model-Vision-Robotic-Arm-with-ROS2.jpg?v=1782102831\"\u003e\u003cimg alt=\"DOFBOT SE spec table listing 6-DOF, 350mm arm span, ±0.5mm repeat accuracy, USB HD camera and AI voice options\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Yahboom-DOFBOT-AI-Large-Model-Vision-Robotic-Arm-with-ROS2_938f30be-765b-4e03-a085-b43c887a9bf7.jpg?v=1782102837\"\u003e\u003cimg alt=\"DOFBOT-PRO comparison chart highlighting 6-DOF, 350mm reach, depth camera option and ROS2 functions\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Yahboom-DOFBOT-AI-Large-Model-Vision-Robotic-Arm-with-ROS2_56d71f92-c1bd-491f-89b7-3bb6d9d0b746.jpg?v=1782102843\"\u003e\u003cimg alt=\"JETCOBOT comparison chart showing 7-DOF, 270mm arm span and ROS2 MoveIt\/RViz capability summary\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Yahboom-DOFBOT-AI-Large-Model-Vision-Robotic-Arm-with-ROS2_9028af0a-259a-4177-bf54-08328a74fee9.jpg?v=1782102850\"\u003e\u003cimg alt=\"Yahboom DOFBOT AI large model visual robotic arm with USB camera on desktop base for Raspberry Pi 5\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Yahboom-DOFBOT-AI-Large-Model-Vision-Robotic-Arm-with-ROS2_4ec968b1-bff3-4ae9-966d-fc3f6f4e8514.jpg?v=1782102857\"\u003e\u003cp\u003eDOFBOT combines a 6‑DOF robotic arm and USB camera for Raspberry Pi 5 vision projects, grasping demos, and ROS2 development.\u003c\/p\u003e\n\u003cimg alt=\"Feature overview of DOFBOT: 6-DOF camera integration, AI large model functions, algorithms and tutorial resources\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Yahboom-DOFBOT-AI-Large-Model-Vision-Robotic-Arm-with-ROS2_cdc82a1e-265b-4f87-901f-0e0e3df05bc0.jpg?v=1782102864\"\u003e\u003cp\u003eMultiple control options and built‑in algorithm demos help you move from basic servo control to vision interaction and AI workflows.\u003c\/p\u003e\n\u003cimg alt=\"Raspberry Pi 5 performance overview and Pi 5 vs Pi 4B comparison table for DOFBOT robotic arm control\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Yahboom-DOFBOT-AI-Large-Model-Vision-Robotic-Arm-with-ROS2_f11ce180-208f-4293-ac79-71edd4c5fe4d.jpg?v=1782102871\"\u003e\u003cp\u003eDesigned around Raspberry Pi 5 computing power for ROS2 Humble, Python3, and real‑time vision inference workflows.\u003c\/p\u003e\n\u003cimg alt=\"Quasi-3D spatial gameplay graphic for DOFBOT plus large model deployment flow for embodied intelligence\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Yahboom-DOFBOT-AI-Large-Model-Vision-Robotic-Arm-with-ROS2_32d7b93f-5935-4278-a82e-9b3658f206d5.jpg?v=1782102879\"\u003e\u003cp\u003eQuasi‑3D spatial demos connect camera perception with arm motion for embodied intelligence applications.\u003c\/p\u003e\n\u003cimg alt=\"Multimodal large model application demos: video analysis, long-command motion control, intelligent handling and sorting\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Yahboom-DOFBOT-AI-Large-Model-Vision-Robotic-Arm-with-ROS2_4300bdcf-3f43-43e7-b958-3e7977e83ac2.jpg?v=1782102886\"\u003e\u003cp\u003eMultimodal demos cover long‑command motion control, intelligent handling, and sorting tasks driven by vision and prompts.\u003c\/p\u003e\n\u003cimg alt=\"Embodied intelligence demos: color blocks placement, visual tracking, garbage sorting and intent inference with DOFBOT\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Yahboom-DOFBOT-AI-Large-Model-Vision-Robotic-Arm-with-ROS2_fdcb824e-4866-4740-ab5b-9cfee9066ae2.jpg?v=1782102893\"\u003e\u003cp\u003eUse built‑in tasks like visual tracking, color sorting, and intent inference to prototype your own interactive robotics logic.\u003c\/p\u003e\n\u003cimg alt=\"Fun AI large model gameplay grid: math, problem solving, nutrition analysis, spelling, Q\u0026amp;A and cooking interactions\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Yahboom-DOFBOT-AI-Large-Model-Vision-Robotic-Arm-with-ROS2_0e2862c4-d0e8-4391-ad62-1e2cf3eeacf3.jpg?v=1782102900\"\u003e\u003cimg alt=\"AI vision interactive functions: color recognition tracking, catch game, grab blocks, gesture control and sorting\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Yahboom-DOFBOT-AI-Large-Model-Vision-Robotic-Arm-with-ROS2_c8e50ecd-7a36-4fe5-a804-1c037abefeeb.jpg?v=1782102907\"\u003e\u003cp\u003eOpenCV-style vision interactions include color recognition, tracking, and grasping routines for hands‑on learning.\u003c\/p\u003e\n\u003cimg alt=\"MediaPipe machine learning and deep learning training examples plus inverse kinematics algorithm for DOFBOT\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Yahboom-DOFBOT-AI-Large-Model-Vision-Robotic-Arm-with-ROS2_e6a12a81-f575-4dde-b8b3-8bbfc842c41c.jpg?v=1782102914\"\u003e\u003cp\u003eMediaPipe and training examples pair with inverse kinematics so vision results translate into accurate joint movement.\u003c\/p\u003e\n\u003cimg alt=\"MoveIt simulation control page with URDF, RViz visualization, trajectory planning, collision detection and spatial grasping\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Yahboom-DOFBOT-AI-Large-Model-Vision-Robotic-Arm-with-ROS2_0293bef3-4b71-4683-b396-4f6276e125c7.jpg?v=1782102921\"\u003e\u003cp\u003eDevelop and validate motion with MoveIt and RViz before running trajectories on the physical arm.\u003c\/p\u003e\n\u003cimg alt=\"Robot Operating System overview with ROS2 Humble plus cross-platform remote control via app, PC and USB controller\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Yahboom-DOFBOT-AI-Large-Model-Vision-Robotic-Arm-with-ROS2_b2d377ee-5c2f-41df-bba6-b810f8043d5a.jpg?v=1782102928\"\u003e\u003cp\u003eCross‑platform control options include mobile app, PC host control, and a USB wired remote, alongside ROS2 Humble support.\u003c\/p\u003e\n\u003cimg alt=\"Mobile app gameplay features: gesture grasping, face recognition tracking (face blurred), and custom action group learning\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Yahboom-DOFBOT-AI-Large-Model-Vision-Robotic-Arm-with-ROS2_4edb4fa3-0dd8-475d-93f5-4be583b24c00.jpg?v=1782102935\"\u003e\u003cimg alt=\"6-DOF DOFBOT robotic arm with labeled joints J1-J6 and onboard USB camera for vision-guided grasping\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Yahboom-DOFBOT-AI-Large-Model-Vision-Robotic-Arm-with-ROS2_a921c03f-e0e3-4f64-9eac-f9ccd6ef94cf.jpg?v=1782102941\"\u003e\u003cp\u003eThe 6‑DOF joint layout (J1–J6) supports flexible pick‑and‑place paths and camera‑guided interaction.\u003c\/p\u003e\n\u003cimg alt=\"Hardware configuration callouts: bus servos, anodized aluminum, Raspberry Pi 5 option, cooler, control board and voice module\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Yahboom-DOFBOT-AI-Large-Model-Vision-Robotic-Arm-with-ROS2_6ebc0e1e-efa7-4bee-b4ac-50c508e11a96.jpg?v=1782102948\"\u003e\u003cp\u003eExpandable hardware includes an arm control board, bus servos, optional voice module and speaker, plus Raspberry Pi 5 mounting.\u003c\/p\u003e\n\u003cimg alt=\"Yahboom DOFBOT robotic arm expansion board diagram with serial bus servo specs and labeled ports\/connectors\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Yahboom-DOFBOT-AI-Large-Model-Vision-Robotic-Arm-with-ROS2_2ee27246-873a-43bf-b09b-859b095d6ee8.jpg?v=1782102956\"\u003e\u003cp\u003eThe DOFBOT robotic arm expansion board uses a labeled port layout and serial bus servo support to help simplify wiring and control setup.\u003c\/p\u003e\n\u003cimg alt=\"USB camera and AI voice module kit for Yahboom DOFBOT robotic arm, showing 110° FOV 480p 30fps specs\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Yahboom-DOFBOT-AI-Large-Model-Vision-Robotic-Arm-with-ROS2_596147ec-ef2f-40ca-8555-ea32c6abaf10.jpg?v=1782102962\"\u003e\u003cp\u003eThe USB camera mounts on the robotic arm and includes a 110° field of view with 480p resolution at 30fps, along with an AI voice module (superior version) featuring a board, speaker, and wiring.\u003c\/p\u003e\n\u003cimg alt=\"Laptop screen showing Yahboom DOFBOT-Pi tutorial site for DOFBOT AI large model vision robotic arm courses\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Yahboom-DOFBOT-AI-Large-Model-Vision-Robotic-Arm-with-ROS2_0ab371fe-c3c6-45a5-a4f1-1c1115ffa461.jpg?v=1782102968\"\u003e\u003cp\u003eYahboom’s DOFBOT-Pi tutorial repository provides a tutorial link and up to 200+ structured courses for learning the DOFBOT robotic arm.\u003c\/p\u003e\n\u003cimg alt=\"DOFBOT course syllabus table listing Raspberry Pi, ROS2 Humble, Python3 and vision AI lessons for the robotic arm kit\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Yahboom-DOFBOT-AI-Large-Model-Vision-Robotic-Arm-with-ROS2_89e91c5f-5ec0-4bfd-934d-742c790ca8ba.jpg?v=1782102975\"\u003e\u003cp\u003eThe DOFBOT course syllabus outlines step-by-step lessons covering Raspberry Pi setup, ROS2 Humble, Python programming, and camera-based vision projects.\u003c\/p\u003e\n\u003cimg alt=\"Open-source code and tutorial overview for Yahboom DOFBOT robotic arm kit, including course video sections and support notes\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Yahboom-DOFBOT-AI-Large-Model-Vision-Robotic-Arm-with-ROS2_de1ca128-f2ff-4344-9a44-fa76a95d62f1.jpg?v=1782102983\"\u003e\u003cp\u003eOpen-source code folders and step-by-step video tutorials help you set up and program the DOFBOT robotic arm in Python and ROS2.\u003c\/p\u003e\n\u003cimg alt=\"DOFBOT robotic arm kit dimensions drawing with labeled measurements and a specification table for Raspberry Pi setup\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Yahboom-DOFBOT-AI-Large-Model-Vision-Robotic-Arm-with-ROS2_ea735eea-d148-4bf4-8ee3-4ba3b3f8d36a.jpg?v=1782102990\"\u003e\u003cp\u003eDOFBOT includes a detailed dimensions layout and key specifications to help plan mounting space and system integration.\u003c\/p\u003e\n\u003cimg alt=\"Shipping list for Yahboom DOFBOT kit showing robotic arm, camera, expansion board, OLED, cables, tools, and manual\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Yahboom-DOFBOT-AI-Large-Model-Vision-Robotic-Arm-with-ROS2_34f86b1d-a39b-482f-a1c8-0137fdedd619.jpg?v=1782102996\"\u003e\u003cp\u003eThe DOFBOT kit includes the assembled robotic arm, USB camera, expansion board, OLED display, cables, power adapter, tools, and manual, with optional accessories listed separately.\u003c\/p\u003e\n\u003cimg alt=\"Raspberry Pi 5 accessories kit with 64GB TF card and reader, active cooler, power expansion board, I2C cable and dual USB-C adapter\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Yahboom-DOFBOT-AI-Large-Model-Vision-Robotic-Arm-with-ROS2_6fed053e-81f2-4829-a592-ecd8bc45c2ad.jpg?v=1782103003\"\u003e\u003cp\u003eThe Raspberry Pi 5 accessory set includes a 64GB TF card with reader, an active cooler, a power expansion board, an I2C communication cable, and a dual Type‑C power adapter board.\u003c\/p\u003e\n\u003c\/div\u003e","brand":"Yahboom","offers":[{"title":"Standard \/ without RPi","offer_id":53125973475552,"sku":"6000200971-1","price":389.43,"currency_code":"USD","in_stock":true},{"title":"Standard \/ RPi-4GB","offer_id":53125973508320,"sku":"6000200971-2","price":681.93,"currency_code":"USD","in_stock":true},{"title":"Standard \/ RPi-8GB","offer_id":53125973541088,"sku":"6000200971-3","price":775.53,"currency_code":"USD","in_stock":true},{"title":"Standard \/ RPi-16GB","offer_id":53125973573856,"sku":"6000200971-4","price":869.13,"currency_code":"USD","in_stock":true},{"title":"Superior \/ without RPi","offer_id":53125973606624,"sku":"6000200971-5","price":424.53,"currency_code":"USD","in_stock":true},{"title":"Superior \/ RPi-4GB","offer_id":53125973639392,"sku":"6000200971-6","price":717.03,"currency_code":"USD","in_stock":true},{"title":"Superior \/ RPi-8GB","offer_id":53125973672160,"sku":"6000200971-7","price":810.63,"currency_code":"USD","in_stock":true},{"title":"Superior \/ RPi-16GB","offer_id":53125973704928,"sku":"6000200971-8","price":904.23,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0643\/3210\/3904\/files\/DOFBOT-PI-_1.jpg?v=1782029696"},{"product_id":"yahboom-rosmaster-x3-robot","title":"ROSMASTER X3 ROS2 AI voice interaction Robot with Mecanum Wheel for Jetson NANO 4GB\/Orin NANO SUPER\/Orin NX SUPER\/RaspberryPi 5","description":"\u003ch3\u003eTutorials\u003c\/h3\u003e\n\u003ch3\u003e\u003cspan style=\"color: rgb(0, 170, 255);\"\u003e\u003ca href=\"http:\/\/www.yahboom.net\/study\/ROSMASTER-X3\" style=\"color: rgb(0, 170, 255);\" target=\"_blank\"\u003e\u003cstrong\u003eYahboom ROSMASTER X3\u003c\/strong\u003e\u003c\/a\u003e\u003c\/span\u003e\u003c\/h3\u003e\n\u003cp\u003eROSMASTER X3 is an educational AI voice interaction robot based on the robot operating system with Mecanum Wheel, compatible with Jetson NANO\/Orin NX SUPER\/Orin NANO SUPER and Raspberry Pi 5. It is equipped with lidar, depth camera, voice interaction module and other high-performance hardware modules. Using Python programming, ROSMASTER X3 can realize mapping and navigation, following or avoiding, Autopilot and human body posture detection. It support APP remote control, APP mapping navigation, handle remote control, ROS system PC control and other cross-platform remote control methods. We provide 103 video courses and a large number of codes, which can allow users to learn artificial intelligence programming and ROS systems.\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003e\u003ciframe height=\"420\" src=\"https:\/\/www.youtube.com\/embed\/KT_r-rOF3yw\" title=\"ROSMASTER X3 ROS2 Robot with Mecanum Wheel for Jetson NANO 4GB\/Orin NANO\/Orin NX\/RaspberryPi 4B\" width=\"600\"\u003e\u003c\/iframe\u003e\u003c\/p\u003e\n\u003ch3\u003eFeatures\u003c\/h3\u003e\n\u003cp\u003e1) Aluminum alloy material, Mecanum wheels 360°omnidirectional movement.\u003c\/p\u003e\n\u003cp\u003e2) Professional hardware configuration, lidar, depth camera, voice interaction module, etc.\u003c\/p\u003e\n\u003cp\u003e3) Four controllers are available, Jetson NANO, Jeston \u003cspan\u003eOrin \u003c\/span\u003e\u003cspan\u003eNX SUPER\u003c\/span\u003e, Jeston \u003cspan\u003eOrin NANO SUPER\u003c\/span\u003e and Raspberry Pi 5.\u003c\/p\u003e\n\u003cp\u003e4) Using ORBSLAM2+Octomap, RRT algorithms to achieve 3D mapping navigation and autonomous positioning.\u003c\/p\u003e\n\u003cp\u003e5) Combined with the voice interaction module, user can control the motion state of the robot or complete some functions through voice commands.\u003c\/p\u003e\n\u003cp\u003e6) Various remote control methods such as mobile phone APP, handle, ROS system and computer keyboard.\u003c\/p\u003e\n\u003cp\u003e7) 103 detailed video tutorials and open source codes, as well as professional technical support will be provided for free. \u003c\/p\u003e\n\u003cdiv style=\"text-align: left;\"\u003e\n\u003ca href=\"https:\/\/category.yahboom.net\/products\/rosmaster-m1\" rel=\"noopener\" target=\"_blank\"\u003e\u003cimg alt=\"ROSMASTER M1Al Large Model ROS2 Robot\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/ROSMASTER-X3-ROS2-AI-voice-interaction-Robot-with-Mecanum.jpg?v=1782097599\" style=\"margin-right: 0.015625px; margin-bottom: 16px; float: none;\"\u003e\u003c\/a\u003e\u003cimg alt=\"ROS2 Educational Robot\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/ROSMASTER-X3-ROS2-AI-voice-interaction-Robot-with-Mecanum_f0f0fcb7-a88c-4909-aaac-8f440bc1f9ef.jpg?v=1782097612\" style=\"margin-bottom: 16px; float: none;\"\u003e\n\u003c\/div\u003e\n\u003cdiv style=\"text-align: left;\"\u003e\u003cimg alt=\"ROSMASTER X3 for Jetson ORIN SUPER and Raspberry Pi 5, with radar mapping navigation, visual depth application and learning\" src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0066\/9686\/1780\/files\/ROSMASTER_X3_Yahboom_details_2.jpg?v=1743581390\" style=\"float: none; display: block; margin-left: auto; margin-right: auto;\"\u003e\u003c\/div\u003e\n\u003cdiv style=\"text-align: left;\"\u003e\u003cimg alt=\"\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/ROSMASTER-X3-ROS2-AI-voice-interaction-Robot-with-Mecanum_431dd675-09b4-4719-8623-63ce230b228a.jpg?v=1782097636\" style=\"display: block; margin-left: auto; margin-right: auto;\"\u003e\u003c\/div\u003e\n\u003cdiv style=\"text-align: left;\"\u003e\u003cimg alt=\"Yahboom provides mainstream ROS1\u0026amp;ROS2 system images and Docker for ROSMASTER X3, using Humble and Foxy, with strong stability and rich information\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/ROSMASTER-X3-ROS2-AI-voice-interaction-Robot-with-Mecanum_84078af6-70bf-4c86-88b7-d720dbf82dc9.jpg?v=1782097649\" style=\"float: none; display: block; margin-left: auto; margin-right: auto;\"\u003e\u003c\/div\u003e\n\u003cdiv style=\"text-align: left;\"\u003e\u003cimg alt=\"Yahboom ROS robot model selection recommendations:  The most popular Ackerman steering and Mecanum wheel chassis\" src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0066\/9686\/1780\/files\/ROSMASTER_X3_Yahboom_details_5.jpg?v=1743581449\" style=\"float: none; display: block; margin-left: auto; margin-right: auto;\"\u003e\u003c\/div\u003e\n\u003cdiv style=\"text-align: left;\"\u003e\u003ca href=\"https:\/\/category.yahboom.net\/collections\/j-robotic-car\/products\/rosmaster-x1\" rel=\"noopener\" target=\"_blank\" title=\"Yahboom ROSMASTER X1 robot for Jeston\"\u003e\u003cimg alt=\"ROSMASTER X1 is suitable for beginners, which with SLAM A1, YDLIDAR X3 lidar, depth camera and supports voice interaction\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/ROSMASTER-X3-ROS2-AI-voice-interaction-Robot-with-Mecanum.webp?v=1782097678\" style=\"margin-bottom: 16px; float: none; display: block; margin-left: auto; margin-right: auto;\"\u003e\u003c\/a\u003e\u003c\/div\u003e\n\u003cdiv style=\"text-align: left;\"\u003e\u003ca href=\"https:\/\/category.yahboom.net\/collections\/j-robotic-car\/products\/rosmaster-r2\" rel=\"noopener\" target=\"_blank\" title=\"ROSMASTER R2 ROS2 Robot with Ackermann structure\"\u003e\u003cimg alt=\"ROSMASTER R1 for autopilot and match, which with SLAM A1, YDLIDAR 4ROS lidar, depth camera and supports voice interaction\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/ROSMASTER-X3-ROS2-AI-voice-interaction-Robot-with-Mecanum_ac5085ea-19ac-45a7-949c-62a8172f7f65.jpg?v=1782097690\" style=\"margin-bottom: 16px; float: none; display: block; margin-left: auto; margin-right: auto;\"\u003e\u003c\/a\u003e\u003c\/div\u003e\n\u003cdiv style=\"text-align: left;\"\u003e\u003cimg alt=\"ROSMASTER X3 for ROS depth development, which with SLAM A1, S2L lidar, depth camera and supports voice interaction\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/ROSMASTER-X3-ROS2-AI-voice-interaction-Robot-with-Mecanum_52a4b7b2-ec5c-46ab-a2ea-8c87e8b9a124.jpg?v=1782097701\" style=\"float: none; display: block; margin-left: auto; margin-right: auto;\"\u003e\u003c\/div\u003e\n\u003cdiv style=\"text-align: left;\"\u003e\u003ca href=\"https:\/\/category.yahboom.net\/collections\/j-robotic-car\/products\/rosmaster-x3-plus\" rel=\"noopener\" target=\"_blank\" title=\"ROSMASTER X3 PLUS ROS Robot\"\u003e\u003cimg alt=\"ROSMASTER X3 PLUS for university research, which with 6DOF robot arm, YDLIDAR, depth camera and supports voice interaction\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/ROSMASTER-X3-ROS2-AI-voice-interaction-Robot-with-Mecanum_8dd92aad-cddd-4e77-b556-2116f40702f6.jpg?v=1782097734\" style=\"margin-bottom: 16px; float: none; display: block; margin-left: auto; margin-right: auto;\"\u003e\u003c\/a\u003e\u003c\/div\u003e\n\u003cdiv style=\"text-align: left;\"\u003e\u003cimg alt=\"\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/ROSMASTER-X3-ROS2-AI-voice-interaction-Robot-with-Mecanum_0f5f42ef-ffc6-47c9-a7e6-1d64e0a43f5d.jpg?v=1782097746\" style=\"display: block; margin-left: auto; margin-right: auto;\"\u003e\u003c\/div\u003e\n\u003cdiv style=\"text-align: left;\"\u003e\u003cimg alt=\"\" src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0066\/9686\/1780\/files\/ROSMASTER_X3_ROS2_Robot_1_11.jpg?v=1756379028\" style=\"display: block; margin-left: auto; margin-right: auto;\"\u003e\u003c\/div\u003e\n\u003cdiv style=\"text-align: left;\"\u003e\u003cimg alt=\"LiDAR supports algorithm mapping, DWA path planning and navigation, obstacle avoidance, depth camera supports RTAB-Map 3D\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/ROSMASTER-X3-ROS2-AI-voice-interaction-Robot-with-Mecanum_9ee9b90c-f828-4fd0-9ea2-ccf1d6590192.jpg?v=1782097797\" style=\"float: none; display: block; margin-left: auto; margin-right: auto;\"\u003e\u003c\/div\u003e\n\u003cdiv style=\"text-align: left;\"\u003e\u003cimg alt=\"ROSMASTER X3 uses MediaPipe to implement AI 3D detection and recognition, autopilot, deep learning, KCF target tracking, etc.\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/ROSMASTER-X3-ROS2-AI-voice-interaction-Robot-with-Mecanum_97973064-468b-4109-aae8-2597d2516d7b.jpg?v=1782097805\" style=\"float: none; display: block; margin-left: auto; margin-right: auto;\"\u003e\u003c\/div\u003e\n\u003cdiv style=\"text-align: left;\"\u003e\u003cimg alt=\"\" src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0066\/9686\/1780\/files\/ROSMASTER_X3_ROS2_Robot_1_14.jpg?v=1756379018\" style=\"display: block; margin-left: auto; margin-right: auto;\"\u003e\u003c\/div\u003e\n\u003cdiv style=\"text-align: left;\"\u003e\u003cimg alt=\"ROSMASTER X3 supports cross-platform interconnection control by APP, Jupyter Lab and ROS, provides DeepSeek-R1 models\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/ROSMASTER-X3-ROS2-AI-voice-interaction-Robot-with-Mecanum_bfb7ba54-9606-4f0c-9543-d61eea56b475.jpg?v=1782097820\" style=\"float: none; display: block; margin-left: auto; margin-right: auto;\"\u003e\u003c\/div\u003e\n\u003cdiv style=\"text-align: left;\"\u003e\u003cimg alt=\"\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/ROSMASTER-X3-ROS2-AI-voice-interaction-Robot-with-Mecanum_6f039dab-0eb8-4f8b-a7e5-21a73e0a467c.jpg?v=1782097826\" style=\"display: block; margin-left: auto; margin-right: auto;\"\u003e\u003c\/div\u003e\n\u003cdiv style=\"text-align: left;\"\u003e\n\u003cimg alt=\"\" src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0066\/9686\/1780\/files\/ROSMASTER_X3_ROS2_Robot_2_03-0.jpg?v=1756379386\" style=\"display: block; margin-left: auto; margin-right: auto;\"\u003e\u003cimg alt=\"\" src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0066\/9686\/1780\/files\/ROSMASTER_X3_ROS2_Robot_2_03.jpg?v=1756379017\" style=\"display: block; margin-left: auto; margin-right: auto;\"\u003e\n\u003c\/div\u003e\n\u003cdiv style=\"text-align: left;\"\u003e\u003cimg alt=\"\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/ROSMASTER-X3-ROS2-AI-voice-interaction-Robot-with-Mecanum_6200b529-8bc9-48a6-adc7-02b940e15206.jpg?v=1782097896\" style=\"display: block; margin-left: auto; margin-right: auto;\"\u003e\u003c\/div\u003e\n\u003cdiv style=\"text-align: left;\"\u003e\n\u003cimg alt=\"\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/ROSMASTER-X3-ROS2-AI-voice-interaction-Robot-with-Mecanum_ae20a7d0-b9bb-46ac-88d3-a3841c6883a8.jpg?v=1782097902\" style=\"display: block; margin-left: auto; margin-right: auto;\"\u003e\u003cimg alt=\"\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/ROSMASTER-X3-ROS2-AI-voice-interaction-Robot-with-Mecanum_ffc06c89-8206-42b2-a32c-ccb13c9659f2.jpg?v=1782097909\" style=\"display: block; margin-left: auto; margin-right: auto;\"\u003e\u003cimg alt=\"\" src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0066\/9686\/1780\/files\/ROSMASTER_X3_Yahboom_details_2_08.jpg?v=1758702998\" style=\"display: block; margin-left: auto; margin-right: auto;\"\u003e\u003cimg alt=\"\" src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0066\/9686\/1780\/files\/ROSMASTER_X3_ROS2_Robot_2_08.jpg?v=1756379013\" style=\"display: block; margin-left: auto; margin-right: auto;\"\u003e\u003cimg alt=\"\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/ROSMASTER-X3-ROS2-AI-voice-interaction-Robot-with-Mecanum_7117578d-6f48-4eb8-a52a-bacf886b5800.jpg?v=1782097950\" style=\"display: block; margin-left: auto; margin-right: auto;\"\u003e\n\u003c\/div\u003e\n\u003cdiv style=\"text-align: left;\"\u003e\u003cimg alt=\"\" src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0066\/9686\/1780\/files\/ROSMASTER_X3_ROS2_Robot_2_10.jpg?v=1756379015\" style=\"display: block; margin-left: auto; margin-right: auto;\"\u003e\u003c\/div\u003e\n\u003ch3\u003e\u003cbr\u003e\u003c\/h3\u003e\n\u003cp\u003e \u003c\/p\u003e","brand":"Yahboom","offers":[{"title":"Standard-without \/ RPi 5 8G","offer_id":53126028689632,"sku":"6000200584-1","price":775.53,"currency_code":"USD","in_stock":true},{"title":"Standard-without \/ NANO 4GB SUB","offer_id":53126028722400,"sku":"6000200584-2","price":787.23,"currency_code":"USD","in_stock":true},{"title":"Standard-without \/ Orin NANO SUPER-4GB","offer_id":53126028755168,"sku":"6000200584-3","price":11704.5,"currency_code":"USD","in_stock":true},{"title":"Standard-without \/ Orin NANO 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It supports four controllers: Jetson NANO 4GB, Jetson Orin NX SUPER, Jetson Orin NANO SUPER, and Raspberry Pi 5. The platform integrates LiDAR, a depth camera, a 6DOF robotic arm, a voice recognition interaction module, 520 encoder reduction motors, and an HD 7-inch touch screen for ROS development and AI\/vision learning workflows such as mapping and navigation, human feature recognition, and MoveIt simulation\/control.\u003c\/p\u003e\u003ch2\u003eKey Features\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003eOmnidirectional mecanum-wheel mobile base with pendulum suspension chassis\u003c\/li\u003e\n\u003cli\u003e6-DOF AI vision robotic arm and MoveIt simulation\/control support\u003c\/li\u003e\n\u003cli\u003eLiDAR SLAM, path planning, and navigation workflows (including gmapping\/hector\/karto\/cartographer support as labeled)\u003c\/li\u003e\n\u003cli\u003eDepth camera functions including point cloud, ORB-SLAM2 + Octomap mapping, and RTAB-Map 3D visual mapping\/navigation\u003c\/li\u003e\n\u003cli\u003eRobot voice interaction module for voice control of movement and navigation (as listed)\u003c\/li\u003e\n\u003cli\u003eMultiple control methods supported: mobile phone, handle, and computer keyboard; also VNC\/Jupyter\/SSH remote control options are listed\u003c\/li\u003e\n\u003cli\u003eMost structural parts are pre-assembled; after receiving, only the main control board installation\/connection is required to use it\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch2\u003eSpecifications\u003c\/h2\u003e\u003ch3\u003eRobot Platform\u003c\/h3\u003e\u003ctable border=\"1\" cellpadding=\"6\" cellspacing=\"0\"\u003e\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003eRobot model\u003c\/td\u003e\n\u003ctd\u003eROSMASTER X3 PLUS\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eMovement\u003c\/td\u003e\n\u003ctd\u003eMecanum wheel omnidirectional movement (360 degrees)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eChassis\u003c\/td\u003e\n\u003ctd\u003eAluminum alloy chassis; large-size aluminum alloy frame\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eSuspension\u003c\/td\u003e\n\u003ctd\u003ePendulous suspension (L)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eTire \/ wheel\u003c\/td\u003e\n\u003ctd\u003eMecanum wheel (L)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eDrive motors\u003c\/td\u003e\n\u003ctd\u003e520 motor x4 (520 encoder reduction motor is labeled)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eMotor reduction ratio\u003c\/td\u003e\n\u003ctd\u003e1:56\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eRobotic arm\u003c\/td\u003e\n\u003ctd\u003e6DOF\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eVoice interaction\u003c\/td\u003e\n\u003ctd\u003eYes\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eLiDAR\u003c\/td\u003e\n\u003ctd\u003eYDLIDAR 4ROS\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eDepth camera\u003c\/td\u003e\n\u003ctd\u003eAstra Pro depth camera (Astra Pro Plus depth camera is also labeled)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eDisplay\u003c\/td\u003e\n\u003ctd\u003e7-inch HD touch screen\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eLevel (as labeled)\u003c\/td\u003e\n\u003ctd\u003eUniversity research \/ Mobile capture\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\u003c\/table\u003e\u003ch3\u003eMain Control Board Options (as listed)\u003c\/h3\u003e\u003ctable border=\"1\" cellpadding=\"6\" cellspacing=\"0\"\u003e\n\u003cthead\u003e\u003ctr\u003e\n\u003cth\u003eROS master control\u003c\/th\u003e\n\u003cth\u003eRaspberry Pi 5 8GB\u003c\/th\u003e\n\u003cth\u003eJetson NANO 4GB\u003c\/th\u003e\n\u003cth\u003eJetson Orin Nano SUPER 4GB\u003c\/th\u003e\n\u003cth\u003eJetson Orin Nano SUPER 8GB\u003c\/th\u003e\n\u003cth\u003eJetson Orin NX SUPER 8GB\u003c\/th\u003e\n\u003cth\u003eJetson Orin NX SUPER 16GB\u003c\/th\u003e\n\u003c\/tr\u003e\u003c\/thead\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003eComputing power\u003c\/td\u003e\n\u003ctd\u003e2.5 times of Raspberry Pi 4B and close to Jetson Nano B01\u003c\/td\u003e\n\u003ctd\u003e0.5 TFLOPS (FP16)\u003c\/td\u003e\n\u003ctd\u003e34 TOPS\u003c\/td\u003e\n\u003ctd\u003e67 TOPS\u003c\/td\u003e\n\u003ctd\u003e117 TOPS\u003c\/td\u003e\n\u003ctd\u003e157 TOPS\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eCPU\u003c\/td\u003e\n\u003ctd\u003eCortex-A76\u003c\/td\u003e\n\u003ctd\u003eQuad-Core Arm Cortex-A57 MPCore processor\u003c\/td\u003e\n\u003ctd\u003e6-core Arm Cortex-A78AE v8.2 64-bit CPU; 1.5MB L2 + 4MB L3\u003c\/td\u003e\n\u003ctd\u003e6-core Arm Cortex-A78AE v8.2 64-bit CPU; 1.5MB L2 + 4MB L3\u003c\/td\u003e\n\u003ctd\u003e6-core NVIDIA Arm Cortex-A78AE v8.2 64-bit CPU; 1.5MB L2 + 4MB L3\u003c\/td\u003e\n\u003ctd\u003e8-core NVIDIA Arm Cortex-A78AE v8.2 64-bit CPU; 2MB L2 + 4MB L3\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eGPU\u003c\/td\u003e\n\u003ctd\u003eVideoCore VII\u003c\/td\u003e\n\u003ctd\u003e128-core NVIDIA Maxwell GPU\u003c\/td\u003e\n\u003ctd\u003e512-core NVIDIA Ampere architecture GPU with 16 Tensor Cores\u003c\/td\u003e\n\u003ctd\u003e1024-core NVIDIA Ampere architecture GPU with 32 Tensor Cores\u003c\/td\u003e\n\u003ctd\u003e1024-core NVIDIA Ampere architecture GPU with 32 Tensor Cores\u003c\/td\u003e\n\u003ctd\u003e1024-core NVIDIA Ampere architecture GPU with 32 Tensor Cores\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eRAM\u003c\/td\u003e\n\u003ctd\u003e8GB\u003c\/td\u003e\n\u003ctd\u003e4 GB 64-bit LPDDR4 25.6GB\/s\u003c\/td\u003e\n\u003ctd\u003e4GB 64-bit LPDDR5 51 GB\/s\u003c\/td\u003e\n\u003ctd\u003e8GB 128-bit LPDDR5 102 GB\/s\u003c\/td\u003e\n\u003ctd\u003e8GB 128-bit LPDDR5 102 GB\/s\u003c\/td\u003e\n\u003ctd\u003e16GB 128-bit LPDDR5 102 GB\/s\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eStorage (as listed)\u003c\/td\u003e\n\u003ctd\u003e64GB TF card for free\u003c\/td\u003e\n\u003ctd\u003e64GB U disk for free\u003c\/td\u003e\n\u003ctd colspan=\"4\"\u003e256GB SSD for free\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003ePower\u003c\/td\u003e\n\u003ctd\u003e10W\u003c\/td\u003e\n\u003ctd\u003e5W | 10W\u003c\/td\u003e\n\u003ctd\u003e7W, 10W, 25W\u003c\/td\u003e\n\u003ctd\u003e7W, 15W, 25W\u003c\/td\u003e\n\u003ctd\u003e10W, 15W, 25W, 40W\u003c\/td\u003e\n\u003ctd\u003e10W, 15W, 25W, 40W\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eProvided ROS system (as listed)\u003c\/td\u003e\n\u003ctd\u003eROS1 Melodic; ROS2 Foxy\u003c\/td\u003e\n\u003ctd\u003eROS1 Melodic; ROS2 Foxy\u003c\/td\u003e\n\u003ctd colspan=\"4\"\u003eUbuntu 22.04 LTS + ROS2 Humble\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\u003cp\u003eROSMASTER X3 PLUS is deeply adapted to Raspberry Pi 5 and can provide a stable 5.1V\/5A power supply for Raspberry Pi 5 (as described).\u003c\/p\u003e\u003ch2\u003eFunctions List\u003c\/h2\u003e\u003ch3\u003eDepth Camera\u003c\/h3\u003e\u003col\u003e\n\u003cli\u003eReal-time web monitoring\u003c\/li\u003e\n\u003cli\u003eArTag pose estimation\u003c\/li\u003e\n\u003cli\u003eAR special effects\u003c\/li\u003e\n\u003cli\u003eQR code creation\u003c\/li\u003e\n\u003cli\u003eQR code recognition\u003c\/li\u003e\n\u003cli\u003eSkeleton detection\u003c\/li\u003e\n\u003cli\u003eFinger following\u003c\/li\u003e\n\u003cli\u003eCamera calibration\u003c\/li\u003e\n\u003cli\u003eMediaPipe development\u003c\/li\u003e\n\u003cli\u003eColor tracking\u003c\/li\u003e\n\u003cli\u003eKCF object tracking\u003c\/li\u003e\n\u003cli\u003eVisual tracking\u003c\/li\u003e\n\u003cli\u003eORBSLAM2 mapping\u003c\/li\u003e\n\u003cli\u003eORBSLAM2 + Octomap\u003c\/li\u003e\n\u003cli\u003eRtabmap 3D mapping\u003c\/li\u003e\n\u003cli\u003eRtabmap 3D navigation\u003c\/li\u003e\n\u003cli\u003eyolov4-tiny object recognition\u003c\/li\u003e\n\u003cli\u003eyolov5 + TensorRT object recognition\u003c\/li\u003e\n\u003cli\u003eyolov11 + TensorRT object recognition\u003c\/li\u003e\n\u003cli\u003eyolov5 to train traffic signs\u003c\/li\u003e\n\u003cli\u003eTensorRT to accelerate sign recognition\u003c\/li\u003e\n\u003c\/ol\u003e\u003ch3\u003eYDLIDAR 4ROS LiDAR\u003c\/h3\u003e\u003col\u003e\n\u003cli\u003eMapping mapping algorithm\u003c\/li\u003e\n\u003cli\u003eHector mapping algorithm\u003c\/li\u003e\n\u003cli\u003eKarto mapping algorithm\u003c\/li\u003e\n\u003cli\u003eCartographer mapping algorithm\u003c\/li\u003e\n\u003cli\u003eRRT exploration mapping\u003c\/li\u003e\n\u003cli\u003eLiDAR fixed-point navigation\u003c\/li\u003e\n\u003cli\u003eLiDAR multi-point navigation\u003c\/li\u003e\n\u003cli\u003eTEB and DWA path planning\u003c\/li\u003e\n\u003cli\u003eLiDAR obstacle avoidance\u003c\/li\u003e\n\u003cli\u003eLiDAR tracking\u003c\/li\u003e\n\u003cli\u003eLiDAR guard\u003c\/li\u003e\n\u003cli\u003eLiDAR patrol\u003c\/li\u003e\n\u003cli\u003eROS APP mapping\u003c\/li\u003e\n\u003cli\u003eROS APP navigation\u003c\/li\u003e\n\u003cli\u003eMulti-vehicle navigation\u003c\/li\u003e\n\u003cli\u003eMulti-vehicle formation\u003c\/li\u003e\n\u003cli\u003eMulti-vehicle surround\u003c\/li\u003e\n\u003c\/ol\u003e\u003ch3\u003e6DOF Robotic Arm\u003c\/h3\u003e\u003col\u003e\n\u003cli\u003eMoveIt configuration\u003c\/li\u003e\n\u003cli\u003eMoveIt control the real machine\u003c\/li\u003e\n\u003cli\u003eMoveIt moves randomly\u003c\/li\u003e\n\u003cli\u003eMoveIt kinematics design\u003c\/li\u003e\n\u003cli\u003eMoveIt cartesian path\u003c\/li\u003e\n\u003cli\u003eMoveIt avoid\u003c\/li\u003e\n\u003cli\u003eMoveIt sensing\u003c\/li\u003e\n\u003cli\u003eMoveIt trajectory planning\u003c\/li\u003e\n\u003cli\u003eMediaPipe palm control car\u003c\/li\u003e\n\u003cli\u003eMediaPipe gesture control robotic arm\u003c\/li\u003e\n\u003cli\u003eMediaPipe gesture control car\u003c\/li\u003e\n\u003cli\u003eMediaPipe arm attitude control robotic arm\u003c\/li\u003e\n\u003cli\u003eMediaPipe recognizes and tracks palm control robotic arm\u003c\/li\u003e\n\u003cli\u003eRecognizes color block and handling\u003c\/li\u003e\n\u003cli\u003eAutopilot to clear obstacles\u003c\/li\u003e\n\u003c\/ol\u003e\u003ch3\u003eAI Voice Interaction Module\u003c\/h3\u003e\u003col\u003e\n\u003cli\u003eIntroduction of voice module and port binding\u003c\/li\u003e\n\u003cli\u003eCommand wake-up\u003c\/li\u003e\n\u003cli\u003eVoice control car movement\u003c\/li\u003e\n\u003cli\u003eVoice control autopilot\u003c\/li\u003e\n\u003cli\u003eVoice control color recognition\u003c\/li\u003e\n\u003cli\u003eVoice control color tracking\u003c\/li\u003e\n\u003cli\u003eVoice control multi-point navigation\u003c\/li\u003e\n\u003cli\u003eRobotic arm voice functions\u003c\/li\u003e\n\u003c\/ol\u003e\u003ch3\u003eROS Robot Expansion Board\u003c\/h3\u003e\u003col\u003e\n\u003cli\u003eSerial communication\u003c\/li\u003e\n\u003cli\u003eControl servo\u003c\/li\u003e\n\u003cli\u003e9-axis attitude sensor\u003c\/li\u003e\n\u003cli\u003eBattery voltage detection\u003c\/li\u003e\n\u003cli\u003eCAN bus communication\u003c\/li\u003e\n\u003cli\u003eSBUS model aircraft remote control\u003c\/li\u003e\n\u003cli\u003eControl buzzer\u003c\/li\u003e\n\u003cli\u003eControl RGB light bar\u003c\/li\u003e\n\u003c\/ol\u003e\u003ch3\u003eROS Master Control (as listed)\u003c\/h3\u003e\u003col\u003e\n\u003cli\u003eVNC remote control\u003c\/li\u003e\n\u003cli\u003eJupyter lab remote control\u003c\/li\u003e\n\u003cli\u003eSSH remote control\u003c\/li\u003e\n\u003cli\u003eKeyboard control\u003c\/li\u003e\n\u003cli\u003eHandle control\u003c\/li\u003e\n\u003cli\u003eAPP gravity sensor control\u003c\/li\u003e\n\u003cli\u003eAPP image transmission and software control\u003c\/li\u003e\n\u003cli\u003eMulti-machine communication configuration\u003c\/li\u003e\n\u003cli\u003eGPU acceleration*\u003c\/li\u003e\n\u003cli\u003eTensorRT acceleration*\u003c\/li\u003e\n\u003cli\u003eRobot serial port communication\u003c\/li\u003e\n\u003cli\u003eIMU and odometer data release\u003c\/li\u003e\n\u003cli\u003eSet static IP or hotspot mode\u003c\/li\u003e\n\u003cli\u003eqr real-time PID control\u003c\/li\u003e\n\u003cli\u003eLinear velocity and angular velocity are more accurate\u003c\/li\u003e\n\u003cli\u003eOLED screen display\u003c\/li\u003e\n\u003c\/ol\u003e\u003cp\u003e\u003cstrong\u003eNote:\u003c\/strong\u003e Items marked with * indicate that only Jetson series control boards are available.\u003c\/p\u003e\u003ch2\u003eApplications\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003eAPP mapping and navigation (iOS\/Android are listed)\u003c\/li\u003e\n\u003cli\u003eLiDAR scanning mapping and autonomous navigation (single-point and multi-point navigation are listed)\u003c\/li\u003e\n\u003cli\u003eRTAB-Map 3D visual mapping navigation and global relocalization (as described)\u003c\/li\u003e\n\u003cli\u003eHuman feature recognition and visual tracking (as described\/listed)\u003c\/li\u003e\n\u003cli\u003eMoveIt robotic arm simulation control and kinematics\/path planning learning\u003c\/li\u003e\n\u003cli\u003eMulti-machine synchronous control and multi-vehicle navigation\/formation (as listed)\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch2\u003eTutorials \u0026amp; Video\u003c\/h2\u003e\u003cp\u003eTutorial link (official): \u003ca href=\"http:\/\/www.yahboom.net\/study\/ROSMASTER-X3-PLUS\" rel=\"noopener\" target=\"_blank\"\u003ehttp:\/\/www.yahboom.net\/study\/ROSMASTER-X3-PLUS\u003c\/a\u003e\u003c\/p\u003e\u003cp\u003eFor configuration selection or technical support before purchase, contact \u003ca href=\"https:\/\/rcdrone.top\/\" rel=\"noopener\" target=\"_blank\"\u003ehttps:\/\/rcdrone.top\/\u003c\/a\u003e or email \u003ca href=\"mailto:support@rcdrone.top\"\u003esupport@rcdrone.top\u003c\/a\u003e.\u003c\/p\u003e\u003cp style=\"text-align:center;\"\u003e\u003ciframe height=\"420\" src=\"https:\/\/www.youtube.com\/embed\/C8kEOiQjzYI\" title=\"ROSMASTER X3 PLUS FUNCTIONAL OVERVIEW\" width=\"600\"\u003e\u003c\/iframe\u003e\u003c\/p\u003e\u003ch2 id=\"details\"\u003eDetails\u003c\/h2\u003e\u003cdiv class=\"details-gallery\"\u003e\n\u003cimg alt=\"Promotional banner for ROSMASTER M3 PRO ROS2 robot with robotic arm on mecanum base\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/ROSMASTER-X3-PLUS-ROS-Robot-for-Jetson-NANO-4GBOrin-NX.jpg?v=1782095572\"\u003e\u003cimg alt=\"Yahboom ROSMASTER X3 PLUS ROS educational robot with LiDAR, depth camera, 6DOF arm and 7-inch screen\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/ROSMASTER-X3-PLUS-ROS-Robot-for-Jetson-NANO-4GBOrin-NX.png?v=1782095904\"\u003e\u003cp\u003eROSMASTER X3 PLUS combines an omnidirectional mecanum base with LiDAR, a depth camera, and a 6‑DOF arm for ROS learning.\u003c\/p\u003e\n\u003cimg alt=\"Yahboom ROSMASTER X3 PLUS feature overview for ROS2 development, SLAM, navigation, MoveIt and AI vision\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/ROSMASTER-X3-PLUS-ROS-Robot-for-Jetson-NANO-4GBOrin-NX_81dbeb44-19d0-41e2-8ad1-bb5596c3b43f.png?v=1782095912\"\u003e\u003cimg alt=\"Supported controller boards for the platform: Raspberry Pi 5 and Jetson Nano\/Orin Nano SUPER\/Orin NX SUPER\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/ROSMASTER-X3-PLUS-ROS-Robot-for-Jetson-NANO-4GBOrin-NX_8673c31f-a6a4-4c3d-9e11-a4b233ca466f.png?v=1782095921\"\u003e\u003cp\u003eChoose a main controller—Raspberry Pi 5 or NVIDIA Jetson options—to match your ROS performance and AI workload needs.\u003c\/p\u003e\n\u003cimg alt=\"Jetson Orin SUPER upgrade comparison chart highlighting improved AI performance across supported boards\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/ROSMASTER-X3-PLUS-ROS-Robot-for-Jetson-NANO-4GBOrin-NX_fd8e0417-42ad-4bdb-b0b7-fd7c6d8f19e5.jpg?v=1782095602\"\u003e\u003cimg alt=\"ROS robot selection guidance text comparing chassis types, including Ackermann steering vs mecanum wheel platforms\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/ROSMASTER-X3-PLUS-ROS-Robot-for-Jetson-NANO-4GBOrin-NX_bcb7968e-31b7-4786-8e61-d741c3c9047f.jpg?v=1782095615\"\u003e\u003cimg alt=\"Spec table snippet for ROSMASTER X1 listing chassis, motor ratio, LiDAR, camera and voice interaction support\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/ROSMASTER-X3-PLUS-ROS-Robot-for-Jetson-NANO-4GBOrin-NX.webp?v=1782095624\"\u003e\u003cimg alt=\"Spec table snippet for ROSMASTER R2 with Ackermann steering, YDLIDAR 4ROS and Astra Pro depth camera\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/ROSMASTER-X3-PLUS-ROS-Robot-for-Jetson-NANO-4GBOrin-NX_c5c0635d-7db8-4112-8651-2a2e8fa030c9.jpg?v=1782095635\"\u003e\u003cimg alt=\"Spec table snippet for ROSMASTER X3 with pendulous suspension, mecanum wheels and SLAM configuration\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/ROSMASTER-X3-PLUS-ROS-Robot-for-Jetson-NANO-4GBOrin-NX_d29874c9-b0e8-4f22-b810-b651c35ab892.jpg?v=1782095648\"\u003e\u003cimg alt=\"ROSMASTER X3 PLUS spec table highlighting mecanum wheels, 1:56 motor ratio, 6DOF arm and YDLIDAR 4ROS\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/ROSMASTER-X3-PLUS-ROS-Robot-for-Jetson-NANO-4GBOrin-NX_3521a130-b527-48ec-9128-afb17ffe5f65.jpg?v=1782095661\"\u003e\u003cp\u003eKey hardware highlights include mecanum wheels with pendulum suspension, a 6‑DOF arm, and YDLIDAR-based SLAM support.\u003c\/p\u003e\n\u003cimg alt=\"Main control selection table comparing Raspberry Pi 5 and Jetson boards with CPU, RAM, power and ROS version notes\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/ROSMASTER-X3-PLUS-ROS-Robot-for-Jetson-NANO-4GBOrin-NX_18ed7a19-5563-4387-a0ac-9a82c47b809f.jpg?v=1782095674\"\u003e\u003cp\u003eController selection details help plan compute, memory, and power for tasks like mapping, navigation, and vision pipelines.\u003c\/p\u003e\n\u003cimg alt=\"Functions list and accessory lineup for ROSMASTER X3 PLUS including LiDAR, depth camera, 6DOF arm and touch screen\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/ROSMASTER-X3-PLUS-ROS-Robot-for-Jetson-NANO-4GBOrin-NX_dad9a4bb-c2d1-444d-bf05-fdd82f3f7564.jpg?v=1782095690\"\u003e\u003cp\u003eAccessory overview covers the included sensing and interaction hardware used across the ROS tutorials and demos.\u003c\/p\u003e\n\u003cimg alt=\"Close-up of ROSMASTER X3 PLUS aluminum chassis with mecanum wheels and pendulum suspension over uneven ground\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/ROSMASTER-X3-PLUS-ROS-Robot-for-Jetson-NANO-4GBOrin-NX_a5aeea00-5633-4caf-be0e-1ee13ebeab51.jpg?v=1782095699\"\u003e\u003cp\u003eThe large aluminum-alloy chassis and pendulum suspension improve wheel contact on uneven surfaces for smoother motion control.\u003c\/p\u003e\n\u003cimg alt=\"ROS function panel for LiDAR mapping and navigation: gmapping, hector, karto, cartographer and path planning\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/ROSMASTER-X3-PLUS-ROS-Robot-for-Jetson-NANO-4GBOrin-NX_61a71fb6-25ef-4460-9c2e-51ee3be7be4d.png?v=1782095949\"\u003e\u003cp\u003eLiDAR workflows support mapping and navigation, including common SLAM stacks and path planning for autonomous driving.\u003c\/p\u003e\n\u003cimg alt=\"Depth camera function panel showing point cloud capture, ORB-SLAM2 with Octomap, and RTAB-Map 3D mapping\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/ROSMASTER-X3-PLUS-ROS-Robot-for-Jetson-NANO-4GBOrin-NX_708ac50c-d802-4d64-a09b-3db758c381d8.png?v=1782095958\"\u003e\u003cp\u003eDepth camera pipelines enable point clouds and 3D mapping options such as ORB‑SLAM2 + Octomap and RTAB‑Map.\u003c\/p\u003e\n\u003cimg alt=\"MoveIt and robotic arm feature panel: grasp demos, URDF kinematics, color sorting and tracking control\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/ROSMASTER-X3-PLUS-ROS-Robot-for-Jetson-NANO-4GBOrin-NX_069d09c6-d53b-4a09-85d7-d3e146a1bafe.jpg?v=1782095726\"\u003e\u003cp\u003eMoveIt-focused arm examples cover kinematics (URDF), grasping tasks, tracking, and practical pick-and-place exercises.\u003c\/p\u003e\n\u003cimg alt=\"AI vision recognition panel including face area blurred, with tracking, AR tag recognition and deep learning framework\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/ROSMASTER-X3-PLUS-ROS-Robot-for-Jetson-NANO-4GBOrin-NX_88097179-25c4-4f80-b792-220316b8137d.jpg?v=1782095740\"\u003e\u003cimg alt=\"Multi-robot formation, remote control methods (app\/handle), and voice interaction feature panel for ROSMASTER X3 PLUS\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/ROSMASTER-X3-PLUS-ROS-Robot-for-Jetson-NANO-4GBOrin-NX_6de5e2c1-ce54-4ee4-95fc-5a27bbd94115.jpg?v=1782095753\"\u003e\u003cp\u003eMultiple control options are available, including remote access methods, formation\/coordination demos, and voice interaction.\u003c\/p\u003e\n\u003cimg alt=\"ROSMASTER X3 Plus control options graphic showing iOS\/Android apps, mapping navigation, and ROS\/Jupyter control\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/ROSMASTER-X3-PLUS-ROS-Robot-for-Jetson-NANO-4GBOrin-NX_5e007a3d-5bf7-4ce2-8787-2535161c1672.png?v=1782095978\"\u003e\u003cp\u003eROSMASTER X3 Plus supports cross-platform control via iOS\/Android remote and mapping apps, plus keyboard, Jupyter Lab, and ROS system interfaces.\u003c\/p\u003e\n\u003cimg alt=\"Slide describing large language model demo cases, with DeepSeek, Qwen, Meta and Gemma logos and a small robot graphic\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/ROSMASTER-X3-PLUS-ROS-Robot-for-Jetson-NANO-4GBOrin-NX_8505785b-26cc-4ccb-b617-f09795ac4af6.png?v=1782095986\"\u003e\u003cp\u003eThe ROS robot kit includes large language model demo cases to help developers get started with platforms like DeepSeek, Qwen, Meta, and Gemma.\u003c\/p\u003e\n\u003cimg alt=\"RViz simulation control screen for Yahboom ROSMASTER X3 Plus, showing a green robot model and data visualization\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/ROSMASTER-X3-PLUS-ROS-Robot-for-Jetson-NANO-4GBOrin-NX_1513f1f8-a57b-4568-8ebe-2c0fdb98a632.png?v=1782095995\"\u003e\u003cp\u003eROSMASTER X3 Plus supports RViz simulation control and data visualization to help with algorithm testing and debugging.\u003c\/p\u003e\n\u003cimg alt=\"ROSMASTER X3 Plus course content table listing ROS robot lessons, setup steps, and programming topics\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/ROSMASTER-X3-PLUS-ROS-Robot-for-Jetson-NANO-4GBOrin-NX_b249399c-2f20-4daa-a0e1-51b39d1182da.jpg?v=1782095780\"\u003e\u003cp\u003eThe ROSMASTER X3 PLUS course content outlines setup, assembly, and a structured set of ROS programming and robotics lessons.\u003c\/p\u003e\n\u003cimg alt=\"Yahboom ROSMASTER X3 PLUS tutorial resources page with Linux, OpenCV and ROS course folders and downloads\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/ROSMASTER-X3-PLUS-ROS-Robot-for-Jetson-NANO-4GBOrin-NX_ac1e0944-6d8a-4d18-860d-63b35814e065.png?v=1782096010\"\u003e\u003cp\u003eYahboom ROSMASTER X3 PLUS includes access to tutorials and course materials covering Linux basics, OpenCV, and ROS setup and tools.\u003c\/p\u003e\n\u003cimg alt=\"Course outline for Yahboom ROSMASTER X3 PLUS, listing ROS robot control, lidar, mapping, deep learning, and voice control\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/ROSMASTER-X3-PLUS-ROS-Robot-for-Jetson-NANO-4GBOrin-NX_165a1287-5db0-4fe1-b99f-f3322b2dce8f.png?v=1782096019\"\u003e\u003cp\u003eThe ROSMASTER X3 PLUS learning content covers robot control basics plus lidar mapping, multi-robot control, deep learning, and voice interaction modules.\u003c\/p\u003e\n\u003cimg alt=\"Screenshot of Yahboom ROSMASTER X3 PLUS ROS robot tutorial library with English-subtitled video lesson icons\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/ROSMASTER-X3-PLUS-ROS-Robot-for-Jetson-NANO-4GBOrin-NX_19da78fb-8129-4b3f-9553-2cee0823577e.png?v=1782096028\"\u003e\u003cp\u003eThe ROSMASTER X3 PLUS includes English-subtitled video tutorials covering setup, modules, sensors, and ROS learning projects.\u003c\/p\u003e\n\u003cimg alt=\"Exploded view of Yahboom ROSMASTER X3 PLUS ROS robot kit with 7-inch screen, lidar, cameras, arm, and mecanum wheels\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/ROSMASTER-X3-PLUS-ROS-Robot-for-Jetson-NANO-4GBOrin-NX_01466c99-b62f-4dc8-be51-1a0af34b119c.jpg?v=1782095809\"\u003e\u003cp\u003eThe ROSMASTER X3 PLUS robot structure combines a 7-inch display, lidar and camera modules, control\/expansion boards, and mecanum wheels for a complete build.\u003c\/p\u003e\n\u003cimg alt=\"Yahboom ROSMASTER X3 Plus ROS robot with laser lidar, depth camera mast, and 6‑DOF robotic arm on chassis\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/ROSMASTER-X3-PLUS-ROS-Robot-for-Jetson-NANO-4GBOrin-NX_c50bdd9d-2f05-4147-8c89-08c6d4cc03fd.jpg?v=1782095820\"\u003e\u003cp\u003eThe ROSMASTER X3 Plus combines a laser lidar and depth camera on a sensor mast with a 6‑DOF robotic arm for navigation and pick-and-place experiments.\u003c\/p\u003e\n\u003cimg alt=\"Yahboom ROSMASTER X3 Plus ROS robot kit infographic showing expansion board, AI voice module, and 7-inch touchscreen\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/ROSMASTER-X3-PLUS-ROS-Robot-for-Jetson-NANO-4GBOrin-NX_cd87f94b-2ca6-4d75-a617-b32f9b5ec0b7.jpg?v=1782095831\"\u003e\u003cp\u003eThe ROSMASTER X3 PLUS platform supports an expansion board, an AI voice interaction module, and an optional 7-inch touch screen for control and feedback.\u003c\/p\u003e\n\u003cimg alt=\"Dimension drawing of Yahboom ROSMASTER X3 Plus ROS robot chassis and 7-inch HD touch screen measurements\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/ROSMASTER-X3-PLUS-ROS-Robot-for-Jetson-NANO-4GBOrin-NX_3984ed9a-df8f-4f86-84d8-71668571bc2c.jpg?v=1782095845\"\u003e\u003cp\u003eYahboom ROSMASTER X3 Plus dimension diagrams and 7-inch HD touch screen measurements help plan mounting and overall fit.\u003c\/p\u003e\n\u003cimg alt=\"ROSMASTER X3 PLUS ROS educational robot spec sheet with controller options, inputs\/outputs, and battery details\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/ROSMASTER-X3-PLUS-ROS-Robot-for-Jetson-NANO-4GBOrin-NX_fedecce9-5a00-4438-9e9c-244c87058084.jpg?v=1782095858\"\u003e\u003cp\u003eROSMASTER X3 PLUS supports Raspberry Pi or Jetson controllers, with listed sensor inputs, Wi‑Fi communication, and a 12.6V 6600mAh battery pack.\u003c\/p\u003e\n\u003cimg alt=\"Shipping list for Yahboom ROSMASTER X3 Plus ROS robot kit with chassis parts, control boards, and accessories\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/ROSMASTER-X3-PLUS-ROS-Robot-for-Jetson-NANO-4GBOrin-NX_583b6f5b-c597-448f-ad5c-692d7b288f88.jpg?v=1782095870\"\u003e\u003cp\u003eThe ROSMASTER X3 Plus kit includes the chassis hardware, electronic control parts, ROS master control options, and accessories like a camera and mounting bracket.\u003c\/p\u003e\n\u003cimg alt=\"Yahboom ROSMASTER X3 PLUS ROS robot car with robotic arm and sensor mast beside an aluminum carrying case\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/ROSMASTER-X3-PLUS-ROS-Robot-for-Jetson-NANO-4GBOrin-NX_ab3d5519-6a32-4620-b831-719d8e8dc9fa.jpg?v=1782095879\"\u003e\u003cp\u003eThe Yahboom ROSMASTER X3 PLUS ROS robot comes with a robotic arm on a wheeled chassis and a hard aluminum carrying case for transport.\u003c\/p\u003e\n\u003c\/div\u003e","brand":"Yahboom","offers":[{"title":"Without \/ RPi 5-8GB","offer_id":53126046286048,"sku":"3000200602_4000200602-1","price":1442.43,"currency_code":"USD","in_stock":true},{"title":"Without \/ NANO 4GB SUB","offer_id":53126046318816,"sku":"3000200602_4000200602-2","price":1454.13,"currency_code":"USD","in_stock":true},{"title":"Without \/ Orin NANO SUPER-4GB","offer_id":53126046351584,"sku":"3000200602_4000200602-3","price":1524.33,"currency_code":"USD","in_stock":true},{"title":"Without \/ Orin NANO 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It uses a multifunctional robot car expansion board as the chassis and integrates 4WD TT motors, a high-definition CSI camera, a four-channel tracking module, and an ultrasonic module for FPV driving and AI vision learning with Python3 and open-source CV. Control is available via Android\/iOS app, infrared remote control, and PC (Jupyter Lab) web programming, with real-time video viewing.\u003c\/p\u003e\u003cp style=\"text-align:center\"\u003e\u003ciframe height=\"420\" src=\"https:\/\/www.youtube.com\/embed\/mqQh2u71VvI\" title=\"12 Raspbot小车 无手势识别\" width=\"600\"\u003e\u003c\/iframe\u003e\u003c\/p\u003e\u003ch2\u003eKey Features\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003eSimple structure for assembly and fast learning experience\u003c\/li\u003e\n\u003cli\u003eFPV first-person view control with real-time video return\u003c\/li\u003e\n\u003cli\u003eRich control methods: APP (iOS \u0026amp; Android), PC (Jupyter Lab), infrared remote control\u003c\/li\u003e\n\u003cli\u003eAI vision gameplay based on Python programming and open-source CV: visual identity, mobile tracking, autopilot, object recognition, gesture recognition, QR code recognition\/control, license plate recognition, visual line patrol, and more\u003c\/li\u003e\n\u003cli\u003eSensor-based functions: ultrasonic and infrared detection obstacle avoidance, infrared tracking mode, buzzer to play music, ultrasound follow\u003c\/li\u003e\n\u003cli\u003eTwo-degree-of-freedom camera platform (PTZ)\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch2\u003eConfiguration Options\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003eWithout TF card\u003c\/strong\u003e: Suitable for users who already have Raspberry Pi 5 board and TF card\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eWith TF card\u003c\/strong\u003e: Suitable for users who already have a Raspberry Pi 5 board; TF card system file has been written\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eWith TF card and Raspberry Pi 5-4GB\u003c\/strong\u003e: Suitable for users who do not have a Raspberry Pi 5 board; TF card system file has been written\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eWith TF card and Raspberry Pi 5-8GB\u003c\/strong\u003e: Suitable for users who do not have a Raspberry Pi 5 board and want to do more expansion functions; TF card system file has been written\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch2\u003eSpecifications\u003c\/h2\u003e\u003ctable\u003e\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eProduct size (drawing)\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eLength 240 mm; Width 157.99 mm; Height 148.4 mm\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eDimensions after assembly\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e240*158*150 mm\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eAssembled weight\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e528 g (without Raspberry Pi)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eBody material\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eEpoxy fiberglass board\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eMicroprocessor\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eRaspberry Pi 5 Broadcom BCM2712 64bit 2.5GHz quad core + VideoCore VII @800MHz\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eCPU (Raspberry Pi 5 reference)\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eBroadcom BCM2712; Quad core Cortex-A76 (ARM v8) 64-bit SoC; Main frequency 2.4GHz (16nm process)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eGPU (Raspberry Pi 5 reference)\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e800MHz VideoCore VII; Support OpenGLES3.1, Vulkan1.2\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eAI computing power\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e500GFLOPS\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eOperating system\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eraspios-bookworm-arm64\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eProgramming language\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003ePython\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eDrive\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e4WD drive\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eMotor parameters\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eReduction ratio 1:48; 6V carbon brush TT motor\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eCamera platform degrees of freedom\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eTwo degrees of freedom; 180 degrees up, down, left, and right\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eInput\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eWide-angle camera; infrared obstacle avoidance sensor*2; infrared receiver; ultrasonic distance measuring sensor; four-channel tracking sensor; IIC interface*2; serial interface\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eOutput\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003ePassive buzzer; 2 PWM servos; 4 TT DC motors\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003ePower solution\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e12.6V power battery pack\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eLife time\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e180 minutes\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003ePower interface\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eDC interface\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eRemote control method\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eMobile phone APP; PC computer; infrared remote control\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eCommunication method\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eWiFi network; infrared remote control communication\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eCircuit safety protection\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eReverse connection protection; over current protection; low voltage protection; short circuit protection\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\u003c\/table\u003e\u003ch2\u003eCamera Parameters\u003c\/h2\u003e\u003ctable\u003e\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003ePixel\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e5 million pixels\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003ePhotosensitive chip\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eOV5647\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eStatic resolution\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e2592*1944; support 1080P@30FPS \/ 720P@60FPS \/ 480P@90FPS video recording\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eField of view\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e65 degrees\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eSize\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e25*24*9 mm\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eInterface\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eCSI interface\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eCable material\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eFPC\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eLine length\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e30 cm\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\u003c\/table\u003e\u003ch2\u003eExpansion Board Interfaces (Multifunctional Robot Car Expansion Board)\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003eInfrared obstacle avoidance sensor*2\u003c\/li\u003e\n\u003cli\u003eSerial port\u003c\/li\u003e\n\u003cli\u003eI2C PH2.0 interface*2\u003c\/li\u003e\n\u003cli\u003eRaspberry Pi 40pin interface\u003c\/li\u003e\n\u003cli\u003eCan drive LED1 (red), LED2 (blue)\u003c\/li\u003e\n\u003cli\u003ePassive buzzer\u003c\/li\u003e\n\u003cli\u003eInfrared receiver\u003c\/li\u003e\n\u003cli\u003eUltrasonic module interface\u003c\/li\u003e\n\u003cli\u003eOLED interface\u003c\/li\u003e\n\u003cli\u003ePWM servo interface*4\u003c\/li\u003e\n\u003cli\u003e5V voltage indicator\u003c\/li\u003e\n\u003cli\u003eBattery input indicator\u003c\/li\u003e\n\u003cli\u003eSwitch\u003c\/li\u003e\n\u003cli\u003eDC motor interface*4\u003c\/li\u003e\n\u003cli\u003eLine inspection module interface\u003c\/li\u003e\n\u003cli\u003eDC power supply interface\u003c\/li\u003e\n\u003cli\u003eMCU status indicator\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch2\u003eApplications\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003eRaspberry Pi 5 robotics learning and AI vision projects\u003c\/li\u003e\n\u003cli\u003ePython3 + OpenCV practice (tracking, recognition, and autonomous driving demos)\u003c\/li\u003e\n\u003cli\u003eFPV robot car programming via app and Jupyter Lab\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003eFor order assistance, configuration selection, or technical support, contact \u003ca href=\"https:\/\/rcdrone.top\/\" rel=\"nofollow\" target=\"_blank\"\u003ehttps:\/\/rcdrone.top\/\u003c\/a\u003e or email \u003ca href=\"mailto:support@rcdrone.top\"\u003esupport@rcdrone.top\u003c\/a\u003e.\u003c\/p\u003e\u003ch2\u003eManuals\u003c\/h2\u003e\u003cp\u003eStudy URL: \u003ca href=\"http:\/\/www.yahboom.net\/study\/Raspbot\" rel=\"nofollow\" target=\"_blank\"\u003ehttp:\/\/www.yahboom.net\/study\/Raspbot\u003c\/a\u003e\u003c\/p\u003e\u003cul\u003e\n\u003cli\u003eInstructions Manual\u003c\/li\u003e\n\u003cli\u003eFirst Trial\u003c\/li\u003e\n\u003cli\u003eRemote control course\u003c\/li\u003e\n\u003cli\u003ePreparation\u003c\/li\u003e\n\u003cli\u003eOpenCV Basic course\u003c\/li\u003e\n\u003cli\u003eHardware Control course\u003c\/li\u003e\n\u003cli\u003eAI vision course\u003c\/li\u003e\n\u003cli\u003eAnnex\u003c\/li\u003e\n\u003cli\u003ePDFs shown: Driver camera.pdf; Color recognition.pdf; HSV value test.pdf; Camera color tracking.pdf; Car color tracking.pdf; Tensorflow object recognition.pdf; QR code recognition.pdf; QR code control.pdf; Face recognition.pdf; Autopilot.pdf; Gesture recognition.pdf; License plate recognition.pdf; Autopilot.pdf\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch2 id=\"details\"\u003eDetails\u003c\/h2\u003e\u003cdiv class=\"details-gallery\"\u003e\n\u003cimg alt=\"Yahboom Raspbot Raspberry Pi 5 AI vision robot car kit with FPV camera, 4WD chassis and ultrasonic sensor\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Raspbot-AI-Vision-Robot-Car-with-FPV-camera-for-RPi5.jpg?v=1782094975\"\u003e\u003cp\u003eStart learning AI vision on Raspberry Pi 5 with a 4WD robot car that combines FPV driving, camera pan\/tilt, and onboard sensors.\u003c\/p\u003e\n\u003cimg alt=\"Feature icons for the Raspbot robot: AI, visual identity, autopilot, mobile tracking, Python, OpenCV, FPV and app control\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Raspbot-AI-Vision-Robot-Car-with-FPV-camera-for-RPi5_46066023-7259-4d74-9c51-a58e58f6c71c.jpg?v=1782094988\"\u003e\u003cp\u003ePython + open-source CV gameplay covers visual recognition, tracking, and autonomous driving, with FPV control and mobile app support.\u003c\/p\u003e\n\u003cimg alt=\"Raspbot compatibility graphic highlighting Raspberry Pi 5 support and BCM2712 CPU plus VideoCore VII GPU performance\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Raspbot-AI-Vision-Robot-Car-with-FPV-camera-for-RPi5_8105f683-78c0-403e-b314-e7213dcf7dc8.jpg?v=1782095002\"\u003e\u003cp\u003eBuilt for Raspberry Pi 5 performance, supporting smoother camera processing for computer-vision learning projects.\u003c\/p\u003e\n\u003cimg alt=\"Configuration instructions comparing kit options without TF card vs with TF card for Raspberry Pi 5 users\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Raspbot-AI-Vision-Robot-Car-with-FPV-camera-for-RPi5_92ce89cd-5086-4baf-ae26-17651a38919c.jpg?v=1782095016\"\u003e\u003cp\u003eChoose a kit configuration based on whether you already have a microSD (TF) card for Raspberry Pi 5.\u003c\/p\u003e\n\u003cimg alt=\"Kit option: Raspbot with TF card and Raspberry Pi 5 4GB bundle information\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Raspbot-AI-Vision-Robot-Car-with-FPV-camera-for-RPi5.webp?v=1782095029\"\u003e\u003cp\u003eBundle options are available with a preloaded TF card and Raspberry Pi 5 (4GB) for faster setup.\u003c\/p\u003e\n\u003cimg alt=\"Kit option: Raspbot with TF card and Raspberry Pi 5 8GB bundle for expanded projects\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Raspbot-AI-Vision-Robot-Car-with-FPV-camera-for-RPi5_a27938e6-65c3-441d-ac37-842b4a14d830.jpg?v=1782095037\"\u003e\u003cp\u003eFor more room to expand, the Raspberry Pi 5 (8GB) bundle pairs with a prewritten TF card for quick start.\u003c\/p\u003e\n\u003cimg alt=\"Cost-effective AI discovery comparison graphic featuring Raspbot camera module and Raspberry Pi AI vision car concept\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Raspbot-AI-Vision-Robot-Car-with-FPV-camera-for-RPi5_62e98eb6-bceb-4e4b-951d-7acf153f96e6.jpg?v=1782095051\"\u003e\u003cp\u003eA cost-effective way to explore AI vision on Raspberry Pi, combining a CSI camera, PTZ mount, and robot chassis in one build.\u003c\/p\u003e\n\u003cimg alt=\"FPV first-person view control screen on smartphone with remote driving UI and live video view of the robot car\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Raspbot-AI-Vision-Robot-Car-with-FPV-camera-for-RPi5_a64e849d-2ce2-4a0b-8f76-4bf6a1bba72c.jpg?v=1782095064\"\u003e\u003cp\u003eDrive in FPV mode from iOS\/Android with real-time video return and an on-screen remote control interface.\u003c\/p\u003e\n\u003cimg alt=\"Rich control methods graphic: mobile app control, PC Jupyter Lab web programming, and infrared remote control\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Raspbot-AI-Vision-Robot-Car-with-FPV-camera-for-RPi5_a3f23d2b-fbe7-4bd0-b047-97ee0e0baae7.jpg?v=1782095078\"\u003e\u003cp\u003eControl it your way—mobile app for driving, PC web programming in JupyterLab, or the included infrared remote.\u003c\/p\u003e\n\u003cimg alt=\"AI visual gameplay examples: color recognition tracking\/follow, face tracking (blurred), and QR code control\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Raspbot-AI-Vision-Robot-Car-with-FPV-camera-for-RPi5_2ec67a09-d667-4ed2-bfa1-397e5b1f0d24.jpg?v=1782095093\"\u003e\u003cp\u003ePrebuilt demos help you practice color tracking, following behaviors, and QR code control using Python-based vision routines.\u003c\/p\u003e\n\u003cimg alt=\"Autopilot feature graphic with Raspbot robot car and phone UI, describing OpenCV ROI processing and PID control\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Raspbot-AI-Vision-Robot-Car-with-FPV-camera-for-RPi5_2d5198b7-fc98-4198-9d6e-90856f05623a.jpg?v=1782095106\"\u003e\u003cp\u003eAutopilot routines use OpenCV processing and PID control concepts to support automatic driving experiments.\u003c\/p\u003e\n\u003cimg alt=\"Sensor functions collage: ultrasonic and infrared obstacle avoidance, infrared tracking mode, buzzer music and ultrasound follow\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Raspbot-AI-Vision-Robot-Car-with-FPV-camera-for-RPi5_4f1ac221-73ac-4192-9670-92c38b2a02fb.jpg?v=1782095120\"\u003e\u003cp\u003eSensor-based play includes obstacle avoidance, infrared line tracking, ultrasound follow, and buzzer sound effects.\u003c\/p\u003e\n\u003cimg alt=\"Hardware overview: multifunctional robot expansion board, PTZ camera platform, ultrasonic module, 4WD drive and tracking module\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Raspbot-AI-Vision-Robot-Car-with-FPV-camera-for-RPi5_f3745830-34bf-4062-8063-ce54ce17afa5.jpg?v=1782095133\"\u003e\u003cp\u003eCore hardware integrates a multifunction expansion board with 4WD drive, camera pan\/tilt, ultrasonic ranging, and a tracking module.\u003c\/p\u003e\n\u003cimg alt=\"Course materials graphic with Yahboom study URL, downloads and PDF documentation for Raspbot learning resources\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Raspbot-AI-Vision-Robot-Car-with-FPV-camera-for-RPi5_8e1e41f9-70d9-44c9-84ff-5ba4773a7072.jpg?v=1782095143\"\u003e\u003cp\u003eStep-by-step lessons and downloadable documents support assembly, coding, and vision experiments.\u003c\/p\u003e\n\u003cimg alt=\"Size parameters and specifications sheet with dimensional drawings and camera parameters for the robot car kit\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Raspbot-AI-Vision-Robot-Car-with-FPV-camera-for-RPi5_df260965-fe59-4f2f-bc14-753eadd009b9.jpg?v=1782095156\"\u003e\u003cp\u003eCheck dimensions and key specs before building, including camera interface details and overall assembled size.\u003c\/p\u003e\n\u003cimg alt=\"Packing list of included parts: expansion board, motors, wheels, camera cable, ultrasonic module, remote, tools and optional TF reader\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Raspbot-AI-Vision-Robot-Car-with-FPV-camera-for-RPi5_5ade9e95-df3d-47b7-b33a-814b6c19e575.jpg?v=1782095169\"\u003e\u003cp\u003eEverything needed for assembly is itemized, including chassis electronics, motors, sensors, cables, remote, and tools (options vary).\u003c\/p\u003e\n\u003c\/div\u003e","brand":"Yahboom","offers":[{"title":"without TF card","offer_id":53126052184288,"sku":"6000200268-1","price":115.64,"currency_code":"USD","in_stock":true},{"title":"with TF card","offer_id":53126052217056,"sku":"6000200268-2","price":127.34,"currency_code":"USD","in_stock":true},{"title":"with TF card+Pi5-4G","offer_id":53126052249824,"sku":"6000200268-3","price":419.84,"currency_code":"USD","in_stock":true},{"title":"with TF card+Pi5-8G","offer_id":53126052282592,"sku":"6000200268-4","price":513.44,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0643\/3210\/3904\/files\/Raspbot-1800-_1.jpg?v=1782031464"},{"product_id":"yahboom-dogzilla-s1-s2-robot","title":"Yahboom DOGZILLA S1\/S2 12DOF AI Robot Dog for Raspberry Pi 5 (ROS2 Humble) Vision + LiDAR (S2)","description":"\u003ch2\u003eOverview\u003c\/h2\u003e\u003cp\u003eDOGZILLA S1\/S2 is a desktop-level 12DOF AI \u003cstrong\u003erobot dog\u003c\/strong\u003e platform for Raspberry Pi 5 (ROS2 Humble), designed for embodied intelligence learning and robotics development. It integrates AI visual interaction, robot kinematics (inverse kinematics), and sensor feedback to support omni-directional movement and six-dimensional attitude control. The system includes an all-metal aluminum alloy body, built-in IMU and joint position sensors for real-time feedback on posture, joint angles, and torques, plus a camera for AI vision applications.\u003c\/p\u003e\u003cp\u003eDOGZILLA also introduces multimodal large model capabilities, supporting intelligent voice dialogue and scene understanding. For questions about configuration, selection, or technical support, contact \u003ca href=\"https:\/\/rcdrone.top\/\" rel=\"noopener\" target=\"_blank\"\u003ehttps:\/\/rcdrone.top\/\u003c\/a\u003e or email \u003ca href=\"mailto:support@rcdrone.top\"\u003esupport@rcdrone.top\u003c\/a\u003e.\u003c\/p\u003e\u003ch2\u003eKey Features\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003e12DOF bionic quadruped motion\u003c\/strong\u003e with posture self-balancing adjustment.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eAll-metal aluminum alloy body\u003c\/strong\u003e with shock-absorbing silicone foot bar and ABS wear-resistant foot end.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eSensor feedback\u003c\/strong\u003e: 6-axis IMU attitude sensor and joint servo angle readback \/ joint position sensors.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eAI vision functions (ROS2 + OpenCV)\u003c\/strong\u003e such as label recognition, face detection, target tracking, and visual line patrol.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eMultiple control methods\u003c\/strong\u003e: APP, handle controller, web pages, computer keyboards; supports APP mapping navigation.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eBuilt-in 20 bionic action groups\u003c\/strong\u003e (examples shown): Handshake, Sit down, Looking for food, Stretch oneself, Mark.\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch2\u003eAI Large Model \u0026amp; Embodied Intelligence\u003c\/h2\u003e\u003ch3\u003eThree AI Large Models\u003c\/h3\u003e\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003eLarge Language Model\u003c\/strong\u003e: Real-time connection; understands text instructions and responds flexibly (examples shown: Text generation, Q\u0026amp;A, Science summary).\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eVoice large model\u003c\/strong\u003e: AI large model voice module supports real-time conversion between voice and text, semantic understanding, intelligent voice Q\u0026amp;A, and voice control.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eVisual large model\u003c\/strong\u003e: High-definition camera can identify and analyze image content; supports multi-modal applications of pictures and text, including generating pictures from voice commands.\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch3\u003eEmbodied Intelligence Functions (examples shown)\u003c\/h3\u003e\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003eAutonomous line tracking\u003c\/strong\u003e: Identifies and tracks lines of various colors in real time.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eEmbodied intelligent robot dog\u003c\/strong\u003e: Understands user instructions and responds with different feedback combined with visual recognition content.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eMultimodal Large Model + SLAM Mapping Navigation\u003c\/strong\u003e: S2 version exclusive function (see LiDAR section).\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch2\u003eLiDAR Functions (S2 Only)\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003eTOF laser LiDAR\u003c\/strong\u003e for SLAM mapping navigation; supports LiDAR following and avoiding.\u003c\/li\u003e\n\u003cli\u003eLiDAR module specified as \u003cstrong\u003eMS200 laser LiDAR\u003c\/strong\u003e (also shown as \u003cstrong\u003eMS200TOF laser lidar\u003c\/strong\u003e), with \u003cstrong\u003e360°\u003c\/strong\u003e fast environment scanning.\u003c\/li\u003e\n\u003cli\u003eFunctions shown: Navigation obstacle avoidance, Cartographer mapping, Mobile APP mapping navigation, LiDAR patrol, LiDAR follow, LiDAR guard, LiDAR avoid.\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003e\u003cstrong\u003eNote:\u003c\/strong\u003e The TOF laser LiDAR functions are indicated as only available for S2.\u003c\/p\u003e\u003ch2\u003eAI Visual Recognition Functions (examples shown)\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003eMediapipe development\u003c\/li\u003e\n\u003cli\u003eTag recognition\u003c\/li\u003e\n\u003cli\u003eAR vision\u003c\/li\u003e\n\u003cli\u003eTag tracking\u003c\/li\u003e\n\u003cli\u003eColor recognition\u003c\/li\u003e\n\u003cli\u003eFace detection\u003c\/li\u003e\n\u003cli\u003eTarget tracking\u003c\/li\u003e\n\u003cli\u003eObstacle recognition\u003c\/li\u003e\n\u003cli\u003eQR code recognition\u003c\/li\u003e\n\u003cli\u003eVisual tracking\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003eAlso stated: \u003cstrong\u003e10+ AI visual recognition technology solutions\u003c\/strong\u003e.\u003c\/p\u003e\u003ch2\u003eSpecifications\u003c\/h2\u003e\u003ch3\u003eDOGZILLA Series Comparison (as provided)\u003c\/h3\u003e\u003ctable border=\"1\" cellpadding=\"6\" cellspacing=\"0\"\u003e\n\u003cthead\u003e\u003ctr\u003e\n\u003cth\u003eParameter\u003c\/th\u003e\n\u003cth\u003eDOGZILLA S1\u003c\/th\u003e\n\u003cth\u003eDOGZILLA S2\u003c\/th\u003e\n\u003cth\u003eDOGZILLA-Lite\u003c\/th\u003e\n\u003c\/tr\u003e\u003c\/thead\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003eMain control board\u003c\/td\u003e\n\u003ctd\u003eRaspberry Pi 5\u003c\/td\u003e\n\u003ctd\u003eRaspberry Pi 5\u003c\/td\u003e\n\u003ctd\u003eRaspberry Pi CM5 module\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eDOF\u003c\/td\u003e\n\u003ctd\u003e12DOF\u003c\/td\u003e\n\u003ctd\u003e12DOF\u003c\/td\u003e\n\u003ctd\u003e15DOF\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eRobotic arm\u003c\/td\u003e\n\u003ctd\u003eX\u003c\/td\u003e\n\u003ctd\u003eX\u003c\/td\u003e\n\u003ctd\u003e3DOF robotic arm (Including end gripper)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eHD camera\u003c\/td\u003e\n\u003ctd\u003e2MP USB camera\u003c\/td\u003e\n\u003ctd\u003e2MP USB camera\u003c\/td\u003e\n\u003ctd\u003e5MP OV5647 camera\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eScreen\u003c\/td\u003e\n\u003ctd\u003eX\u003c\/td\u003e\n\u003ctd\u003eX\u003c\/td\u003e\n\u003ctd\u003e320 x 240 pixel full color\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eTOF laser LiDAR\u003c\/td\u003e\n\u003ctd\u003eX\u003c\/td\u003e\n\u003ctd\u003eMS200 laser LiDAR\u003c\/td\u003e\n\u003ctd\u003eX\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eMicrophone\/speaker\u003c\/td\u003e\n\u003ctd\u003eLarge model voice module \u0026amp; cavity speaker\u003c\/td\u003e\n\u003ctd\u003eLarge model voice module \u0026amp; cavity speaker\u003c\/td\u003e\n\u003ctd\u003eDual MEMS microphone \u0026amp; cavity speaker\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eBattery capacity\u003c\/td\u003e\n\u003ctd\u003e7.4V 3800mAh Battery pack\u003c\/td\u003e\n\u003ctd\u003e7.4V 2500mAh Battery pack\u003c\/td\u003e\n\u003ctd\u003e7.4V 2500mAh Battery pack\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eROS support\u003c\/td\u003e\n\u003ctd\u003eYes\u003c\/td\u003e\n\u003ctd\u003eYes\u003c\/td\u003e\n\u003ctd\u003eX\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eAI visual interaction\u003c\/td\u003e\n\u003ctd\u003eYes\u003c\/td\u003e\n\u003ctd\u003eYes\u003c\/td\u003e\n\u003ctd\u003eYes\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eLiDAR obstacle avoidance and following\u003c\/td\u003e\n\u003ctd\u003eX\u003c\/td\u003e\n\u003ctd\u003eYes\u003c\/td\u003e\n\u003ctd\u003eX\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eLiDAR mapping and navigation\u003c\/td\u003e\n\u003ctd\u003eX\u003c\/td\u003e\n\u003ctd\u003eYes\u003c\/td\u003e\n\u003ctd\u003eX\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eLarge language model interaction\u003c\/td\u003e\n\u003ctd\u003eYes\u003c\/td\u003e\n\u003ctd\u003eYes\u003c\/td\u003e\n\u003ctd\u003eYes\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eVoice large model interaction\u003c\/td\u003e\n\u003ctd\u003eYes\u003c\/td\u003e\n\u003ctd\u003eYes\u003c\/td\u003e\n\u003ctd\u003eYes\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eVisual large model interaction\u003c\/td\u003e\n\u003ctd\u003eYes\u003c\/td\u003e\n\u003ctd\u003eYes\u003c\/td\u003e\n\u003ctd\u003eYes\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eMultimodal large model interaction\u003c\/td\u003e\n\u003ctd\u003eYes\u003c\/td\u003e\n\u003ctd\u003eYes\u003c\/td\u003e\n\u003ctd\u003eYes\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eMultimodal large model combined with SLAM mapping and navigation\u003c\/td\u003e\n\u003ctd\u003eX\u003c\/td\u003e\n\u003ctd\u003eYes\u003c\/td\u003e\n\u003ctd\u003eX\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eMultimodal large model combined with robotic arm handling\u003c\/td\u003e\n\u003ctd\u003eX\u003c\/td\u003e\n\u003ctd\u003eX\u003c\/td\u003e\n\u003ctd\u003eYes\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eRemote control\u003c\/td\u003e\n\u003ctd\u003eWiFi remote control APP\/web remote control\u003c\/td\u003e\n\u003ctd\u003eWiFi remote control APP\/web remote control\u003c\/td\u003e\n\u003ctd\u003eWiFi remote control APP\/Bluetooth remote control APP\/Web remote control\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eBattery working time\u003c\/td\u003e\n\u003ctd\u003e1.5 hour\u003c\/td\u003e\n\u003ctd\u003e1 hour\u003c\/td\u003e\n\u003ctd\u003e2.2 hours\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eDimensions (Power on)\u003c\/td\u003e\n\u003ctd\u003e246.2*144.6*169.5mm\u003c\/td\u003e\n\u003ctd\u003e246.2*144.6*195.3mm\u003c\/td\u003e\n\u003ctd\u003e240.5*142.9*168.5mm\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eWeight\u003c\/td\u003e\n\u003ctd\u003eAbout 870g\u003c\/td\u003e\n\u003ctd\u003eAbout 972g\u003c\/td\u003e\n\u003ctd\u003eAbout 596g\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\u003ch3\u003eRaspberry Pi 5 (optional, as stated)\u003c\/h3\u003e\u003cul\u003e\n\u003cli\u003ePerformance stated as \u003cstrong\u003e2~3 times\u003c\/strong\u003e that of Raspberry Pi 4B\u003c\/li\u003e\n\u003cli\u003eComputing power: \u003cstrong\u003eAbout 500GFLOPS\u003c\/strong\u003e\n\u003c\/li\u003e\n\u003cli\u003eGPU: \u003cstrong\u003eBroadcom Videocore VII\u003c\/strong\u003e\n\u003c\/li\u003e\n\u003cli\u003eCPU: \u003cstrong\u003e64-bit 2.4 GHz quad-core\u003c\/strong\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch2\u003eHardware Structure (labeled parts shown)\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003eMS200 laser lidar (Just for S2)\u003c\/li\u003e\n\u003cli\u003eHD camera\u003c\/li\u003e\n\u003cli\u003eAI large model voice module\u003c\/li\u003e\n\u003cli\u003eSpeaker and speaker base\u003c\/li\u003e\n\u003cli\u003eAll-metal aluminum alloy body\u003c\/li\u003e\n\u003cli\u003eRaspberry Pi 5 board (Optional)\u003c\/li\u003e\n\u003cli\u003eOLED display\u003c\/li\u003e\n\u003cli\u003eESP32 high performance co-processor\u003c\/li\u003e\n\u003cli\u003eSerial bus servo\u003c\/li\u003e\n\u003cli\u003eLithium battery pack\u003c\/li\u003e\n\u003cli\u003eSilicone foot rod; ABS wear-resistant foot end\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003e\u003cstrong\u003eHandling note shown:\u003c\/strong\u003e Servo is a vulnerable item, do not press it.\u003c\/p\u003e\u003ch2\u003eSoftware \u0026amp; Development\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003eROS2 system (ROS2 Humble stated in product title), Python programming support, RVIZ simulation.\u003c\/li\u003e\n\u003cli\u003eROS2 + OpenCV workflows for AI vision functions (examples listed above).\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch2\u003eApplications\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003eEducation and scientific research\u003c\/li\u003e\n\u003cli\u003eArtificial intelligence experiments\u003c\/li\u003e\n\u003cli\u003eService robot prototyping and embodied intelligence exploration\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch2\u003eTutorials \u0026amp; Videos\u003c\/h2\u003e\u003cp\u003e\u003cstrong\u003eTutorial link:\u003c\/strong\u003e\u003ca href=\"http:\/\/www.yahboom.net\/study\/DOGZILLA\" rel=\"noopener\" target=\"_blank\"\u003ehttp:\/\/www.yahboom.net\/study\/DOGZILLA\u003c\/a\u003e\u003c\/p\u003e\u003cdiv style=\"text-align:center;\"\u003e\n\u003ciframe height=\"695\" loading=\"lazy\" src=\"https:\/\/www.youtube.com\/embed\/B3G2x0u3uUU\" title=\"Robot Dog DOGZILLA S1 S2 12DOF with AI LLM for Raspberry Pi 5 ROS2 HUMBLE\" width=\"1236\"\u003e\u003c\/iframe\u003e\u003ciframe height=\"695\" loading=\"lazy\" src=\"https:\/\/www.youtube.com\/embed\/OQ8pcrfS3Kk\" title=\"12DOF Robot Dog DOGZILLA S1\/S2 for Raspberry Pi 5(ROS2-HUMBLE)\" width=\"1236\"\u003e\u003c\/iframe\u003e\n\u003c\/div\u003e\u003ch2 id=\"details\"\u003eDetails\u003c\/h2\u003e\u003cdiv class=\"details-gallery\"\u003e\n\u003cimg alt=\"Yahboom DOGZILLA S1\/S2 12DOF AI Robot dog platform with multimodal AI and metal quadruped body\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/12DOF-AI-Large-Model-Robot-Dog-DOGZILLA-S1S2-for-Raspberry.jpg?v=1782093962\"\u003e\u003cp\u003eA desktop-ready 12DOF robot dog platform built for Raspberry Pi robotics learning, AI vision, and embodied intelligence projects.\u003c\/p\u003e\n\u003cimg alt=\"Yahboom DOGZILLA AI large model quadruped robot dog with ROS2 and LiDAR mapping support\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/12DOF-AI-Large-Model-Robot-Dog-DOGZILLA-S1S2-for-Raspberry_3ef9497f-ffa2-46bd-859d-2a79e25cbbd9.jpg?v=1782093971\"\u003e\u003cp\u003eDesigned for ROS2 development with options like SLAM mapping navigation (S2) alongside AI vision and tutorial resources.\u003c\/p\u003e\n\u003cimg alt=\"Yahboom DOGZILLA S1\/S2 12DOF quadruped robot dog kit with IMU and joint position feedback sensors\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/12DOF-AI-Large-Model-Robot-Dog-DOGZILLA-S1S2-for-Raspberry_691ac19c-0308-43ac-9543-89b9362d35ba.jpg?v=1782093981\"\u003e\u003cp\u003e12 degrees of freedom plus sensor feedback help support stable gait control, posture adjustment, and kinematics experiments.\u003c\/p\u003e\n\u003cimg alt=\"DOGZILLA product evolution timeline highlighting upgrades for AI, voice module, Raspberry Pi 5, and LiDAR (S2)\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/12DOF-AI-Large-Model-Robot-Dog-DOGZILLA-S1S2-for-Raspberry_6eb9ac64-8551-4323-b5c9-f80fd213cb67.jpg?v=1782093990\"\u003e\u003cp\u003eOngoing hardware and software upgrades add features such as voice interaction, Raspberry Pi 5 support, and S2 LiDAR navigation.\u003c\/p\u003e\n\u003cimg alt=\"Feature overview poster for DOGZILLA robot dog including AI vision, LiDAR (S2), bionic actions, and control methods\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/12DOF-AI-Large-Model-Robot-Dog-DOGZILLA-S1S2-for-Raspberry_97a59cc6-bd75-4945-8676-3301aa23058d.jpg?v=1782094002\"\u003e\u003cp\u003eCore capabilities include AI vision, bionic action groups, multiple control options, and ROS2 tools for development and learning.\u003c\/p\u003e\n\u003cimg alt=\"Robot dog with labeled HD camera, voice module, and speaker for multimodal interaction and scene understanding\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/12DOF-AI-Large-Model-Robot-Dog-DOGZILLA-S1S2-for-Raspberry_4f437d29-1223-40a7-9319-226d8d428c4f.jpg?v=1782094014\"\u003e\u003cp\u003eBuilt-in camera and voice hardware enable multimodal interaction for tasks like visual recognition, voice dialogue, and feedback.\u003c\/p\u003e\n\u003cimg alt=\"Three AI large model functions poster: language model, voice model, and visual model examples on DOGZILLA\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/12DOF-AI-Large-Model-Robot-Dog-DOGZILLA-S1S2-for-Raspberry_ef8d356e-377a-4c45-8d0e-7a008b9219ab.jpg?v=1782094025\"\u003e\u003cp\u003eMultimodal large model features support text Q\u0026amp;A, voice control, and camera-based scene understanding workflows.\u003c\/p\u003e\n\u003cimg alt=\"Embodied intelligence functions poster: autonomous tracking, instruction following, and SLAM mapping navigation (S2)\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/12DOF-AI-Large-Model-Robot-Dog-DOGZILLA-S1S2-for-Raspberry_a3853d14-4508-499c-a901-1b2bbc92433d.jpg?v=1782094035\"\u003e\u003cp\u003eEmbodied intelligence functions connect perception and motion, from tracking behaviors to mapping navigation on S2.\u003c\/p\u003e\n\u003cimg alt=\"AI visual recognition functions collage for robot dog: tag, color, face detection, tracking, obstacle recognition\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/12DOF-AI-Large-Model-Robot-Dog-DOGZILLA-S1S2-for-Raspberry_4e3a83c2-c0b1-4103-b600-932fcec3d271.jpg?v=1782094045\"\u003e\u003cp\u003eAI vision demos cover common OpenCV\/ROS2 learning topics such as recognition, tracking, and obstacle awareness.\u003c\/p\u003e\n\u003cimg alt=\"TOF laser LiDAR mapping navigation functions for DOGZILLA S2 including avoidance, patrol, follow, and APP mapping\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/12DOF-AI-Large-Model-Robot-Dog-DOGZILLA-S1S2-for-Raspberry_a478f050-7876-414e-823f-8033d7e85126.jpg?v=1782094056\"\u003e\u003cp\u003eS2 adds a TOF laser LiDAR module for SLAM mapping, autonomous avoidance, and LiDAR following behaviors.\u003c\/p\u003e\n\u003cimg alt=\"DOGZILLA series comparison chart for S1, S2, and Lite models with hardware and function differences\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/12DOF-AI-Large-Model-Robot-Dog-DOGZILLA-S1S2-for-Raspberry_099ca099-5b92-4a0e-a03e-e71903028a35.jpg?v=1782094065\"\u003e\u003cp\u003eUse the series comparison to choose between S1 and S2 configurations, including LiDAR and mapping-related features.\u003c\/p\u003e\n\u003cimg alt=\"Built-in 20 bionic action groups poster including handshake, sit down, stretch, looking for food, and mark\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/12DOF-AI-Large-Model-Robot-Dog-DOGZILLA-S1S2-for-Raspberry_284e8215-96e4-4df5-aa56-ee46fd25caa7.jpg?v=1782094084\"\u003e\u003cp\u003eA library of bionic action groups helps demonstrate gait control and interaction behaviors during practice and lessons.\u003c\/p\u003e\n\u003cimg alt=\"Materials and sensors close-up: all-metal aluminum alloy body, shock-absorbing feet, IMU, and servo angle feedback\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/12DOF-AI-Large-Model-Robot-Dog-DOGZILLA-S1S2-for-Raspberry_0368ee00-7194-445b-aab2-4b615d4f9ce2.jpg?v=1782094093\"\u003e\u003cp\u003eAll-metal construction pairs with IMU and joint angle feedback to support more repeatable posture and movement testing.\u003c\/p\u003e\n\u003cimg alt=\"Optional Raspberry Pi 5 board graphic for DOGZILLA, highlighting upgraded computing performance for AI projects\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Yahboom-DOGZILLA-S1S2-12DOF-AI-Robot.webp?v=1782094847\"\u003e\u003cp\u003eOptional Raspberry Pi 5 support provides stronger compute for ROS2 development and onboard AI workloads.\u003c\/p\u003e\n\u003cimg alt=\"Exploded view of DOGZILLA robot dog structure with camera, battery, speaker, controller board, and LiDAR (S2)\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/12DOF-AI-Large-Model-Robot-Dog-DOGZILLA-S1S2-for-Raspberry_7de65ad3-7a2c-4794-8388-ae6f923e3508.jpg?v=1782094118\"\u003e\u003cp\u003eA modular internal layout makes it easier to understand key components like camera, battery pack, and optional S2 LiDAR.\u003c\/p\u003e\n\u003cimg alt=\"ROS2 development and inverse kinematics poster with gait planning examples and RViz simulation workflow\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/12DOF-AI-Large-Model-Robot-Dog-DOGZILLA-S1S2-for-Raspberry_7b6044eb-0592-43dd-b6f4-24a0856c24aa.jpg?v=1782094128\"\u003e\u003cp\u003eROS2 + RViz workflows support inverse kinematics analysis, gait planning, and simulation alongside real robot testing.\u003c\/p\u003e\n\u003cimg alt=\"Multiple control methods poster: mobile app mapping, gamepad, web remote control, and keyboard control options\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/12DOF-AI-Large-Model-Robot-Dog-DOGZILLA-S1S2-for-Raspberry_0b3ed34c-7665-4b98-ad1b-f0114619df9b.jpg?v=1782094138\"\u003e\u003cp\u003eControl options range from mobile app and mapping navigation to web control, gamepad handling, and keyboard inputs.\u003c\/p\u003e\n\u003cimg alt=\"Teaching mode demo with two robot dogs labeled master and slave for copying single-leg actions\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/12DOF-AI-Large-Model-Robot-Dog-DOGZILLA-S1S2-for-Raspberry_ff854fa7-3b0f-46f5-a96e-44e562eedc32.jpg?v=1782094147\"\u003e\u003cp\u003eTeaching mode allows one robot to act as a master so another can follow the same leg motion for quick demonstrations.\u003c\/p\u003e\n\u003cimg alt=\"Yahboom DOGZILLA 12DOF robot dog course page displayed on a laptop with tutorial link for AI learning\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/12DOF-AI-Large-Model-Robot-Dog-DOGZILLA-S1S2-for-Raspberry_ee96830b-6889-4f56-b8e5-6752c22e914f.jpg?v=1782094156\"\u003e\u003cp\u003eYahboom DOGZILLA S1\/S2 comes with access to systematic tutorial courses via the provided online link.\u003c\/p\u003e\n\u003cimg alt=\"Feature list screenshot for Yahboom DOGZILLA S1\/S2 12DOF AI robot, including ROS2, OpenCV and tracking modes\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/12DOF-AI-Large-Model-Robot-Dog-DOGZILLA-S1S2-for-Raspberry_10086d00-29be-4860-9680-b8ca48f36b1d.jpg?v=1782094166\"\u003e\u003cp\u003eDOGZILLA S1\/S2 includes a broad set of AI and control modes—such as ROS2\/OpenCV vision, face tracking, line following, and voice control—for flexible projects.\u003c\/p\u003e\n\u003cimg alt=\"Folder list of DOGZILLA control tutorials and AI model tutorials for Yahboom DOGZILLA S1\/S2 robot\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/12DOF-AI-Large-Model-Robot-Dog-DOGZILLA-S1S2-for-Raspberry_13207e15-06e8-4e2f-b963-7aaac789ce8a.jpg?v=1782094176\"\u003e\u003cp\u003eDOGZILLA control tutorial folders cover basic and advanced topics like color recognition, face tracking, QR code control, and voice interaction.\u003c\/p\u003e\n\u003cimg alt=\"Tutorial resource page for Yahboom DOGZILLA S1\/S2 robot, with LiDAR mapping, voice control, and ROS2 video lessons\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/12DOF-AI-Large-Model-Robot-Dog-DOGZILLA-S1S2-for-Raspberry_3f9b5c41-f212-4ac9-ae91-86c6fd1dff38.jpg?v=1782094185\"\u003e\u003cp\u003eYahboom DOGZILLA S1\/S2 comes with organized tutorials for LiDAR mapping navigation, voice control, and ROS2 basic videos with English subtitles.\u003c\/p\u003e\n\u003cimg alt=\"DOGZILLA S1\/S2 robot dog dimension diagram showing power-on and power-off sizes in millimeters\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/12DOF-AI-Large-Model-Robot-Dog-DOGZILLA-S1S2-for-Raspberry_09097a1d-1dec-4c6d-b2c8-a112b42f9209.jpg?v=1782094195\"\u003e\u003cp\u003eDOGZILLA S1\/S2 dimensions are provided for power-on and power-off positions, including an approx. 246–250 mm length and 93–170 mm height range for fit planning.\u003c\/p\u003e\n\u003cimg alt=\"DOGZILLA quadruped robot dog parameter table with ROS2 (Raspberry Pi 5), 12DOF joints, and 7.4V 5000mAh battery\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/12DOF-AI-Large-Model-Robot-Dog-DOGZILLA-S1S2-for-Raspberry_7d77018a-6db5-47c0-886f-43d73ed4d26e.jpg?v=1782094205\"\u003e\u003cp\u003eDOGZILLA S1\/S2 uses Raspberry Pi 5 ROS master control with 12DOF bus servos, a 5MP camera, and a 7.4V 5000mAh battery.\u003c\/p\u003e\n\u003cimg alt=\"LiDAR parameters table for DOGZILLA S2 showing 360° scan, 4,500 points\/s, 0.03–12 m range, and 5V power\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/12DOF-AI-Large-Model-Robot-Dog-DOGZILLA-S1S2-for-Raspberry_ee5751ce-a703-4d7d-b1fc-ff5653e9e165.jpg?v=1782094214\"\u003e\u003cp\u003eThe DOGZILLA S2 LiDAR module lists a 360° scanning angle with 4,500 points\/s and a 0.03–12 m distance measurement range.\u003c\/p\u003e\n\u003cimg alt=\"Shipping list for Yahboom DOGZILLA S1\/S2 12DOF robot kit with Raspberry Pi (optional), controller, camera and hardware\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/12DOF-AI-Large-Model-Robot-Dog-DOGZILLA-S1S2-for-Raspberry_6ab6ba63-e6f5-41ea-ab84-ffa0da1a9068.jpg?v=1782094223\"\u003e\u003cp\u003eDOGZILLA S1\/S2 kits include the main body parts, gamepad controller, 64G TF card with reader, speaker, camera module, and basic tools and screws, with the Raspberry Pi board listed as optional.\u003c\/p\u003e\n\u003cimg alt=\"Accessories and optional aluminum carrying case for Yahboom DOGZILLA S2, including MS200 lidar and adapter board\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/12DOF-AI-Large-Model-Robot-Dog-DOGZILLA-S1S2-for-Raspberry_23ff8c08-8c0f-47ed-8103-e02070e63e32.jpg?v=1782094232\"\u003e\u003cp\u003eOptional aluminum box packaging provides a protective carrying case, and the DOGZILLA S2 version lists an MS200 laser lidar with serial adapter board and connecting cable.\u003c\/p\u003e\n\u003c\/div\u003e","brand":"Yahboom","offers":[{"title":"Without RaspberryPi \/ S1 \/ Ordinary box","offer_id":53126056870112,"sku":"3000200853-1","price":776.7,"currency_code":"USD","in_stock":true},{"title":"Without RaspberryPi \/ S1 \/ Aluminum box","offer_id":53126056902880,"sku":"3000200853-2","price":811.8,"currency_code":"USD","in_stock":true},{"title":"Without RaspberryPi \/ S2 \/ Ordinary box","offer_id":53126056935648,"sku":"3000200853-3","price":858.6,"currency_code":"USD","in_stock":true},{"title":"Without RaspberryPi \/ S2 \/ Aluminum box","offer_id":53126056968416,"sku":"3000200853-4","price":893.7,"currency_code":"USD","in_stock":true},{"title":"With RaspberryPi 5 4G \/ S1 \/ Ordinary box","offer_id":53126057001184,"sku":"3000200853-5","price":1069.2,"currency_code":"USD","in_stock":true},{"title":"With RaspberryPi 5 4G \/ S1 \/ Aluminum box","offer_id":53126057033952,"sku":"3000200853-6","price":1104.3,"currency_code":"USD","in_stock":true},{"title":"With RaspberryPi 5 4G \/ S2 \/ Ordinary box","offer_id":53126057066720,"sku":"3000200853-7","price":1151.1,"currency_code":"USD","in_stock":true},{"title":"With RaspberryPi 5 4G \/ S2 \/ Aluminum box","offer_id":53126057099488,"sku":"3000200853-8","price":1186.2,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0643\/3210\/3904\/files\/Robot-Dog_Yahboom.jpg?v=1782031573"},{"product_id":"yahboom-pico2-robot","title":"Yahboom Pico 2 Robot Car Kit for Raspberry Pi Pico 2\/Pico, MicroPython 2WD Smart Car with APP\/IR Control","description":"\u003ch2\u003eOverview\u003c\/h2\u003e\u003cp\u003eThis Raspberry Pi Pico 2 robot car is a compact 2WD educational smart car platform based on the Raspberry Pi Pico 2 board and designed for MicroPython programming. It integrates multiple onboard sensors and supports both infrared remote control and iOS\/Android APP remote control via Bluetooth, making it suitable for programming learners and classroom use.\u003c\/p\u003e\u003ch2\u003eKey Features\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003eBased on Raspberry Pi Pico 2 board; compatible with Pico 2\/Pico (Yahboom uses Pico 2 board by default)\u003c\/li\u003e\n\u003cli\u003eMicroPython programming (also supports MicroPython, C, C++)\u003c\/li\u003e\n\u003cli\u003eOnboard multi-sensor module\u003c\/li\u003e\n\u003cli\u003eRemote control methods: infrared remote control; iOS\/Android APP remote control (Bluetooth)\u003c\/li\u003e\n\u003cli\u003eOnboard resources listed: tracking sensor, ultrasonic, light sensor (photosensitive sensor), sound sensor, buzzer (passive buzzer), Bluetooth module, OLED display, infrared receiver, colorful RGB lamp\u003c\/li\u003e\n\u003cli\u003eFunctions shown: line tracking, cliff detection, ultrasonic obstacle avoidance, object following, voice control, light-seeking following\u003c\/li\u003e\n\u003cli\u003eReserved expansion interfaces: IIC interface, servo interface, GPIO interface\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch2\u003eSpecifications\u003c\/h2\u003e\u003ctable\u003e\n\u003ctr\u003e\n\u003ctd\u003eProduct name (series)\u003c\/td\u003e\n\u003ctd\u003ePico 2 Robot Car\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eDrive type\u003c\/td\u003e\n\u003ctd\u003e2WD\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eMain controller compatibility\u003c\/td\u003e\n\u003ctd\u003eRaspberry Pi Pico 2 \/ Pico\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eProgramming language\u003c\/td\u003e\n\u003ctd\u003eMicroPython, C, C++\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eRemote control\u003c\/td\u003e\n\u003ctd\u003eInfrared remote control; iOS\/Android APP remote control (Bluetooth)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eOnboard display\u003c\/td\u003e\n\u003ctd\u003eOLED display\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eLighting\u003c\/td\u003e\n\u003ctd\u003eColorful RGB lamp (breathing lamp, marquee functions shown)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eSensors \/ modules (shown)\u003c\/td\u003e\n\u003ctd\u003eTracking sensor, ultrasonic sensor, photosensitive (light) sensor, sound sensor, infrared receiver, buzzer\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/table\u003e\u003ch3\u003eRaspberry Pi Pico 2 parameters (as provided)\u003c\/h3\u003e\u003ctable\u003e\n\u003ctr\u003e\n\u003ctd\u003eChip model\u003c\/td\u003e\n\u003ctd\u003eRP2350A\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eCore architecture\u003c\/td\u003e\n\u003ctd\u003eDual-core Cortex-M33 or RISC-V Hazard3 processors\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eMain frequency\u003c\/td\u003e\n\u003ctd\u003e150MHz\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eOn-chip SRAM\u003c\/td\u003e\n\u003ctd\u003e520kB\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eOn-board OSPI flash\u003c\/td\u003e\n\u003ctd\u003e4MB\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eGPIO\u003c\/td\u003e\n\u003ctd\u003e26 GPIO pins (3PCS can be used as ADC)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003ePIO\u003c\/td\u003e\n\u003ctd\u003e3x Programmable IO (PIO) blocks, 12 state machines total\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003ePeripheral device\u003c\/td\u003e\n\u003ctd\u003e2 x UART; 2 x SPI controllers; 2 x I2C controllers; 16 x PWM channels; 1 x USB 1.1 controller and PHY, with host and device support\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003ePower supply voltage\u003c\/td\u003e\n\u003ctd\u003e5V\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eNumber of pins\u003c\/td\u003e\n\u003ctd\u003e40 Pin\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/table\u003e\u003ch2\u003eVersion Options\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003eWithout Pico board: suitable for users who already have Raspberry Pi Pico 2\/Pico\u003c\/li\u003e\n\u003cli\u003eWith Pico 2: complete kit, ready to use\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch2\u003eApplications\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003eMicroPython learning and introductory embedded programming projects\u003c\/li\u003e\n\u003cli\u003eProgramming education institutions and primary education\u003c\/li\u003e\n\u003cli\u003eExperimenting with tracking, obstacle avoidance, and sensor-based robot behaviors\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch2\u003eTutorials\u003c\/h2\u003e\u003cp\u003eTutorial materials and source codes are provided. Official study page: \u003ca href=\"http:\/\/www.yahboom.net\/study\/Pico_Robot\" rel=\"nofollow noopener\" target=\"_blank\"\u003ehttp:\/\/www.yahboom.net\/study\/Pico_Robot\u003c\/a\u003e\u003c\/p\u003e\u003cp\u003eFor product selection help and after-sales support, contact \u003ca href=\"https:\/\/rcdrone.top\/\" rel=\"nofollow noopener\" target=\"_blank\"\u003ehttps:\/\/rcdrone.top\/\u003c\/a\u003e or email \u003ca href=\"mailto:support@rcdrone.top\"\u003esupport@rcdrone.top\u003c\/a\u003e.\u003c\/p\u003e\u003cp style=\"text-align: center;\"\u003e\u003ciframe height=\"420\" src=\"https:\/\/www.youtube.com\/embed\/8ECy5ZWWlCw\" title=\"YouTube video player\" width=\"600\"\u003e\u003c\/iframe\u003e\u003c\/p\u003e\u003ch2 id=\"details\"\u003eDetails\u003c\/h2\u003e\u003cdiv class=\"details-gallery\"\u003e\n\u003cimg alt=\"Yahboom Pico 2 Robot car kit with onboard multi-sensor module and Pico 2 controller support\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Cute-robot-car-for-Raspberry-Pi-Pico-2-support-MicroPython.jpg?v=1782093180\"\u003e\u003cp\u003eA compact 2WD robot car platform for learning MicroPython with onboard sensors and multiple control options.\u003c\/p\u003e\n\u003cimg alt=\"Icons summarizing robot car functions: infrared control, line tracking, cliff detection, ultrasonic avoidance and more\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Cute-robot-car-for-Raspberry-Pi-Pico-2-support-MicroPython_3a295c66-05dd-45f6-9c30-297516e726ff.jpg?v=1782093189\"\u003e\u003cimg alt=\"Raspberry Pi Pico 2 board graphic with RP2350A details, GPIO pins, and MicroPython development notes\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Cute-robot-car-for-Raspberry-Pi-Pico-2-support-MicroPython_303157d0-9edc-435d-bf5f-7a34ac210d9a.jpg?v=1782093199\"\u003e\u003cp\u003eBuilt around the Raspberry Pi Pico 2 (RP2350A), with resources for MicroPython projects and classroom labs.\u003c\/p\u003e\n\u003cimg alt=\"Kit version options for the robot car: without Pico board or with Pico 2 included for a ready-to-use set\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Cute-robot-car-for-Raspberry-Pi-Pico-2-support-MicroPython_1ed72684-024c-420c-b688-df5213f584c5.jpg?v=1782093208\"\u003e\u003cp\u003eChoose a kit with the Pico 2 included, or select the version without a board if you already have a Pico\/Pico 2.\u003c\/p\u003e\n\u003cimg alt=\"Compatibility graphic showing Raspberry Pi Pico 2 and Raspberry Pi Pico boards supported by the robot car chassis\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Cute-robot-car-for-Raspberry-Pi-Pico-2-support-MicroPython_48d30cd8-5eea-459b-bfde-302097739886.jpg?v=1782093217\"\u003e\u003cimg alt=\"Comparison table of Pico 2 vs Pico parameters including CPU, frequency, SRAM, flash, GPIO and PIO resources\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Cute-robot-car-for-Raspberry-Pi-Pico-2-support-MicroPython_5cd78600-ce8d-4182-914a-fc212155f8d5.jpg?v=1782093226\"\u003e\u003cimg alt=\"MicroPython programming setup with laptop code editor connected to the robot car for development and testing\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Cute-robot-car-for-Raspberry-Pi-Pico-2-support-MicroPython_91db0921-82d6-4a9a-9641-c2592932beb8.jpg?v=1782093236\"\u003e\u003cp\u003eProgram behaviors in MicroPython and quickly test movement, sensors, and display outputs.\u003c\/p\u003e\n\u003cimg alt=\"Function list overview highlighting sensors, OLED display, buzzer, RGB lamp effects, and available control modes\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Cute-robot-car-for-Raspberry-Pi-Pico-2-support-MicroPython_a7ad858e-3b13-47ef-8f7d-a97feb6872fb.jpg?v=1782093245\"\u003e\u003cp\u003eMultiple modules are integrated on the chassis, including tracking, ultrasonic sensing, OLED display, buzzer, and RGB lighting.\u003c\/p\u003e\n\u003cimg alt=\"Bluetooth app control interface on a smartphone for driving the robot car and selecting sensor-based modes\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Cute-robot-car-for-Raspberry-Pi-Pico-2-support-MicroPython_2d6bac87-7c75-4c5f-b303-90da4aceeaa3.jpg?v=1782093255\"\u003e\u003cp\u003eControl the car from an iOS\/Android phone over Bluetooth, with quick access to common driving and behavior modes.\u003c\/p\u003e\n\u003cimg alt=\"App UI feature callouts for mode selection, RGB lamp settings, OLED options, and music controls\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Cute-robot-car-for-Raspberry-Pi-Pico-2-support-MicroPython_8df36610-00a7-44cc-8b1d-844e81d9fca3.jpg?v=1782093265\"\u003e\u003cimg alt=\"Infrared remote control example for commanding the robot car with an IR receiver on the main board\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Cute-robot-car-for-Raspberry-Pi-Pico-2-support-MicroPython_24273e68-f6d6-4227-9ac3-2ae3e76c236a.jpg?v=1782093274\"\u003e\u003cp\u003eInfrared remote control is supported for simple, offline operation during demos and lessons.\u003c\/p\u003e\n\u003cimg alt=\"Line tracking mode illustration with robot following a black path using the underside tracking sensor feedback\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Cute-robot-car-for-Raspberry-Pi-Pico-2-support-MicroPython_abbc95b5-4d9b-4be4-b2a9-8c8cf8acd642.jpg?v=1782093284\"\u003e\u003cimg alt=\"Cliff detection mode graphic with robot car near a table edge using infrared sensing to avoid drops\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Cute-robot-car-for-Raspberry-Pi-Pico-2-support-MicroPython_ff08dc50-75b1-4e67-a7c3-d9298e3cbd12.jpg?v=1782093293\"\u003e\u003cimg alt=\"Ultrasonic obstacle avoidance mode with front ultrasonic sensor measuring distance to an object ahead\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Cute-robot-car-for-Raspberry-Pi-Pico-2-support-MicroPython_c3d87ca1-271c-4ed3-9f50-96c731c703c3.jpg?v=1782093303\"\u003e\u003cp\u003eUltrasonic ranging enables obstacle avoidance and distance-based interactions.\u003c\/p\u003e\n\u003cimg alt=\"Object following behavior using ultrasonic distance measurement to maintain space behind a moving target\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Cute-robot-car-for-Raspberry-Pi-Pico-2-support-MicroPython_a97b3942-100e-4c7f-aff2-74344205a948.jpg?v=1782093312\"\u003e\u003cimg alt=\"Voice control feature using onboard sound sensor to trigger movement and RGB lighting effects\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Cute-robot-car-for-Raspberry-Pi-Pico-2-support-MicroPython_f5e23e4a-a08a-4a4b-b1de-73aa7c8b3538.jpg?v=1782093322\"\u003e\u003cimg alt=\"Light-seeking following demo using photosensitive sensors to steer the robot toward a flashlight beam\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Cute-robot-car-for-Raspberry-Pi-Pico-2-support-MicroPython_0cc01724-e3f1-4eb3-966b-f9f697733834.jpg?v=1782093332\"\u003e\u003cimg alt=\"Colorful RGB lighting effects on the robot car including breathing and running light modes in a dark scene\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Cute-robot-car-for-Raspberry-Pi-Pico-2-support-MicroPython_4f731df9-9d3a-451e-a9b2-5e4f0b11cdc8.jpg?v=1782093341\"\u003e\u003cp\u003eBuilt-in RGB lamps add visual feedback for programs, from breathing effects to running lights.\u003c\/p\u003e\n\u003cimg alt=\"Yahboom Pico 2 robot OLED display showing real-time sensor data for sound, light, and ultrasonic distance\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Cute-robot-car-for-Raspberry-Pi-Pico-2-support-MicroPython_6464e320-a736-416b-9cfe-685fd44aa426.jpg?v=1782093351\"\u003e\u003cp\u003eThe Pico 2 robot’s onboard OLED screen displays real-time readings for sound, light, and ultrasonic distance sensors.\u003c\/p\u003e\n\u003cimg alt=\"Yahboom Pico 2 robot car hardware configuration with ultrasonic sensor, OLED display, IR remote, RGB lights, and line tracking\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Cute-robot-car-for-Raspberry-Pi-Pico-2-support-MicroPython_cfa74493-78a1-4f3d-8046-5cc59c4c73bc.jpg?v=1782093361\"\u003e\u003cp\u003eYahboom Pico 2 robot car integrates an ultrasonic sensor, OLED display, line tracking and light\/sound sensors, plus IR and Bluetooth remote control and RGB lamps.\u003c\/p\u003e\n\u003cimg alt=\"Hand installing a microcontroller board on a small two-wheel robot car chassis with plug-and-play wiring\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Cute-robot-car-for-Raspberry-Pi-Pico-2-support-MicroPython_70b05333-02b8-48fe-8a3b-7894a8a20cbe.jpg?v=1782093371\"\u003e\u003cp\u003eThe Yahboom Pico 2 robot car uses a plug-and-play control board setup for quick assembly without soldering.\u003c\/p\u003e\n\u003cimg alt=\"Pico robot course content list for Yahboom Pico 2 Robot, covering setup, sensors, control and tracking lessons\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Yahboom-Pico-2-Robot.webp?v=1782093879\"\u003e\u003cp\u003eThe Yahboom Pico 2 Robot course content covers setup, assembly, basic controls, sensors, and advanced tracking and control projects.\u003c\/p\u003e\n\u003cimg alt=\"Gift information screen with Yahboom tutorial link and a laptop displaying the RCDRone website homepage\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Cute-robot-car-for-Raspberry-Pi-Pico-2-support-MicroPython_408eea86-ce33-4d41-b466-08f4abf37544.jpg?v=1782093413\"\u003e\u003cp\u003eGift information includes a tutorial link and an online resource page to help you get started with the Yahboom Pico 2 Robot.\u003c\/p\u003e\n\u003cimg alt=\"Download folder view with multiple PDF manuals and resource files for the Yahboom Pico 2 Robot kit\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Cute-robot-car-for-Raspberry-Pi-Pico-2-support-MicroPython_036f9fd8-7d5b-430c-81cd-a290c6bc7cfe.jpg?v=1782093423\"\u003e\u003cp\u003eYahboom Pico 2 Robot documentation and resource files are organized into multiple PDF guides and folders for easy setup and reference.\u003c\/p\u003e\n\u003cimg alt=\"Yahboom Pico 2 robot control board diagram with labeled sensors, motor ports, servo header, and battery box\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Cute-robot-car-for-Raspberry-Pi-Pico-2-support-MicroPython_80d2a4ca-50ce-41b7-bdc8-86fdf0d7725a.jpg?v=1782093432\"\u003e\u003cp\u003eThe Yahboom Pico 2 robot board layout labels key parts like the ultrasonic sensor, line tracking sensor, motor interfaces, and servo and OLED connections for easier wiring.\u003c\/p\u003e\n\u003cimg alt=\"Yahboom Pico 2 robot car chassis with two large wheels, ultrasonic sensor module, and onboard controller boards\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Cute-robot-car-for-Raspberry-Pi-Pico-2-support-MicroPython_192d3324-3fc0-49b8-8172-e67ff01e8bde.jpg?v=1782093442\"\u003e\u003cp\u003eThe Yahboom Pico 2 robot uses a two-wheel drive chassis with an ultrasonic distance sensor and stacked control boards for easy prototyping.\u003c\/p\u003e\n\u003cimg alt=\"Yahboom Pico 2 robot product parameters table listing RP2350, Bluetooth 5.0, micro USB charging and 2.5h endurance\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Cute-robot-car-for-Raspberry-Pi-Pico-2-support-MicroPython_1054bed2-08d5-44b7-9009-afb721ad7d74.jpg?v=1782093451\"\u003e\u003cp\u003eYahboom Pico 2 Robot specs list a Raspberry Pi Pico 2 (RP2350) controller, Bluetooth 5.0, micro USB charging, and a 2.5-hour endurance rating.\u003c\/p\u003e\n\u003cimg alt=\"Shipping list for Yahboom Pico 2 robot kit with Pico 2 board, N20 motors, wheels, OLED, Bluetooth module, remote and tools\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Cute-robot-car-for-Raspberry-Pi-Pico-2-support-MicroPython_8f8d204e-a44f-44a0-b947-c6b9411b339f.jpg?v=1782093461\"\u003e\u003cp\u003eThe Yahboom Pico 2 robot kit includes a Pico car expansion board, Raspberry Pi Pico 2, N20 motor parts, OLED screen, Bluetooth module, remote, cables, battery, and basic hardware.\u003c\/p\u003e\n\u003c\/div\u003e","brand":"Yahboom","offers":[{"title":"Without Pico2","offer_id":53126071910624,"sku":"6000200319-1","price":66.51,"currency_code":"USD","in_stock":true},{"title":"With Pico2","offer_id":53126071943392,"sku":"6000200319-2","price":70.02,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0643\/3210\/3904\/files\/PicoRobot_1.jpg?v=1782031699"},{"product_id":"rosmaster-r2-robot","title":"ROSMASTER R2 ROS2 Ackermann Robot Car with Voice Interaction for Jetson Nano\/Orin SUPER\/Raspberry Pi 5 (1.8m\/s)","description":"\u003ch2\u003eOverview\u003c\/h2\u003e\u003cp\u003eROSMASTER R2 is a ROS2 robot car with an Ackermann steering structure and an AI voice interaction module. It is developed based on the ROS2 system (also supporting ROS1\/ROS2 system images) and supports Jetson NANO (B01\/SUB), Jetson Orin NANO SUPER, Jetson Orin NX SUPER, and Raspberry Pi 5 as the main control board. The maximum speed is 1.8 m\/s.\u003c\/p\u003e\u003cp\u003eThe platform is designed for ROS development and learning workflows such as SLAM mapping\/navigation, path planning, and AI vision applications using a depth camera and LiDAR.\u003c\/p\u003e\u003ch2\u003eKey Features\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003eAckermann ROS2 robot platform\u003c\/strong\u003e: ROS development, SLAM mapping navigation, fully supports ROS2, Ackermann steering structure, and robotic voice interaction.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eSensor-ready hardware set\u003c\/strong\u003e: supports LiDAR and an Astra Pro depth camera for mapping\/navigation and depth\/point cloud applications.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eAI vision \u0026amp; perception software topics (as provided in learning content)\u003c\/strong\u003e: YOLO model training, MediaPipe machine learning, OpenCV image processing, ORBSLAM2 mapping, RTAB 3D real scene mapping, AR tags, color\/KCF tracking, and visual recognition\/target tracking.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eNavigation \u0026amp; mapping topics (as provided in learning content)\u003c\/strong\u003e: Gmapping, Cartographer, 3D mapping vision, RRT exploration, LiDAR scanning mapping, and dynamic avoiding.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eRemote control methods\u003c\/strong\u003e: iOS\/Android app control, wireless handle control, keyboard control, and ROS system control; also supports Jupyter-based control.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eChassis details\u003c\/strong\u003e: aluminum alloy Ackermann chassis; anti-collision bar design; racing anti-skid soft rubber tires with embedded sponge liner recovery.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eSteering servo\u003c\/strong\u003e: equipped with a 20KG high-torque intelligent servo for steering power.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eNew-generation controller support\u003c\/strong\u003e: supports Jetson Orin SUPER series and Raspberry Pi 5; Raspberry Pi 5 adaptation includes a stable \u003cstrong\u003e5.1V\/5A\u003c\/strong\u003e power supply design.\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch2\u003eSpecifications\u003c\/h2\u003e\u003ctable\u003e\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eProduct\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eROSMASTER R2 Ackermann ROS2 Robot (robot car)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eMax speed\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e1.8 m\/s\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eSteering structure\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eAckermann steering\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eChassis\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eAluminum alloy Ackermann chassis; anti-collision bar\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eTires\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eRacing rubber wheel; soft rubber anti-skid tire with embedded sponge liner\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eDrive motors\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e520 Motor *4\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eSteering servo\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eMetal servo *1; 20KG high-torque intelligent servo\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eMotor reduction ratio\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e1:19\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eVoice interaction\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eYes\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eCamera\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eAstra Pro depth camera (Astra Pro Plus depth camera is referenced in version comparison)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eLiDAR options\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eSLAM A1 \/ YDLIDAR 4ROS\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eSLAM A1M8 LiDAR details\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eTriangular ranging; measurement radius 0.15 m to 12 m; sampling frequency 8K\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eYDLIDAR 4ROS details\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eTOF ranging; 100Klux strong light resistance; indoor\/outdoor mapping navigation; measurement radius 30 m; sampling frequency 20K; scanning frequency 5 to 12 Hz; supports 512000 bps communication rate\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eSupported main control boards\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eJetson Nano B01 4GB; Jetson NANO 4GB SUB; Jetson Orin Nano SUPER 4GB\/8GB; Jetson Orin NX SUPER 8GB\/16GB; Raspberry Pi 5 (8GB referenced)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eReference AI performance (controller)\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eJetson Orin NX SUPER 16GB: 157 TOPS; Jetson Orin NX SUPER 8GB: 117 TOPS; Jetson Orin Nano SUPER 8GB: 67 TOPS; Jetson Orin Nano SUPER 4GB: 34 TOPS; Jetson Nano B01 4GB: 0.5 TFLOPS; Raspberry Pi 5: close to Jetson Nano B01\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eProvided system images (referenced)\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eRaspberry Pi \/ Jetson Nano: ROS1 Melodic, ROS2 Foxy; Orin series: Ubuntu 22.04 LTS + ROS2 Humble\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003ePatent (Ackermann chassis)\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003ePatent number 2022208771981\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\u003c\/table\u003e\u003ch2\u003eVersion Options\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003eStandard version\u003c\/strong\u003e: SLAM A1 LiDAR; depth camera; main control: Raspberry Pi 5 or Jetson NANO 4GB SUB.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eSuperior version\u003c\/strong\u003e: adds a 7-inch display screen (for installation\/debugging); main control: Raspberry Pi 5, Jetson NANO 4GB SUB, Jetson Orin NANO SUPER, Jetson Orin NX SUPER.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eUltimate version\u003c\/strong\u003e: adds AI voice interaction module; upgrades LiDAR from SLAM A1 to YDLIDAR 4ROS; includes a 7-inch display screen; main control: Raspberry Pi 5, Jetson NANO 4GB SUB, Jetson Orin NANO SUPER, Jetson Orin NX SUPER.\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch2\u003eApplications\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003eROS\/ROS2 learning and development (robot communication, nodes, and middleware practice)\u003c\/li\u003e\n\u003cli\u003eSLAM mapping and navigation, path planning, and obstacle avoidance learning projects\u003c\/li\u003e\n\u003cli\u003eDepth camera and LiDAR point cloud processing and 3D mapping topics\u003c\/li\u003e\n\u003cli\u003eAI vision projects (YOLO\/MediaPipe\/OpenCV topics as included in tutorials)\u003c\/li\u003e\n\u003cli\u003eAutopilot scenario learning topics (road detection, lane keeping, autonomous parking, steering decision)\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003e\u003cstrong\u003eNote:\u003c\/strong\u003e Autopilot model training reference cases are provided for the R2L car model; the R2 car model cannot directly use those cases, and development is required to build models based on the camera and map scenes.\u003c\/p\u003e\u003ch2\u003eTutorials\u003c\/h2\u003e\u003cp\u003eTutorial link (official study page): \u003ca href=\"http:\/\/www.yahboom.net\/study\/ROSMASTER-R2\" rel=\"noopener\" target=\"_blank\"\u003ehttp:\/\/www.yahboom.net\/study\/ROSMASTER-R2\u003c\/a\u003e\u003c\/p\u003e\u003ciframe height=\"420\" src=\"https:\/\/www.youtube.com\/embed\/22sJoii4Kg0\" title=\"ROSMASTER R2 ROS2 Robot with Ackermann structure\" width=\"600\"\u003e\u003c\/iframe\u003e\u003cp\u003eFor configuration guidance (including version selection and sensor\/controller combinations), contact customer support at \u003ca href=\"https:\/\/rcdrone.top\/\" rel=\"noopener\" target=\"_blank\"\u003ehttps:\/\/rcdrone.top\/\u003c\/a\u003e or support@rcdrone.top.\u003c\/p\u003e\u003ch2 id=\"details\"\u003eDetails\u003c\/h2\u003e\u003cdiv class=\"details-gallery\"\u003e\n\u003cimg alt=\"ROSMASTER R2 ROS2 Ackermann robot car with LiDAR tower and depth camera for SLAM and navigation learning\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/ROSMASTER-R2-ROS2-AI-voice-interaction-Robot-with-Ackermann.jpg?v=1782091117\"\u003e\u003cp\u003eROSMASTER R2 combines Ackermann steering with ROS2-ready hardware for mapping, navigation, and AI vision projects.\u003c\/p\u003e\n\u003cimg alt=\"ROSMASTER R2 Ackermann ROS2 robot overview highlighting SLAM mapping, navigation, and AI voice interaction module\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/ROSMASTER-R2-ROS2-AI-voice-interaction-Robot-with-Ackermann_3004f868-fee3-4ca2-8561-9fb95ef95e25.jpg?v=1782091124\"\u003e\u003cp\u003eBuilt for ROS development workflows, the platform supports SLAM mapping\/navigation plus onboard AI voice interaction.\u003c\/p\u003e\n\u003cimg alt=\"Controller compatibility chart for ROSMASTER R2 showing support for Jetson Orin SUPER series and Raspberry Pi 5\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/ROSMASTER-R2-ROS2-AI-voice-interaction-Robot-with-Ackermann_bdcf7018-2c31-4efa-8fdb-28259b9fab17.jpg?v=1782091130\"\u003e\u003cp\u003eChoose the main controller that fits your workload—options include Jetson Orin SUPER boards and Raspberry Pi 5.\u003c\/p\u003e\n\u003cimg alt=\"Upgrade timeline graphic comparing ROSMASTER R2 generations, controller support, and included sensors like Astra depth camera\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/ROSMASTER-R2-ROS2-AI-voice-interaction-Robot-with-Ackermann_daaf14d6-251f-4164-aad4-d61cf547ac61.jpg?v=1782091136\"\u003e\u003cp\u003eThe updated generation adds broader controller support and expanded learning content for ROS1\/ROS2 users.\u003c\/p\u003e\n\u003cimg alt=\"ROS1\/ROS2 system image guide explaining ROS2 basics, ROS1-to-ROS2 comparison, and Docker container support\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/ROSMASTER-R2-ROS2-AI-voice-interaction-Robot-with-Ackermann_27e0a439-43c8-48e0-9de1-eca0f492a63c.jpg?v=1782091142\"\u003e\u003cp\u003ePrebuilt ROS1\/ROS2 images and Docker-based deployment help streamline setup for development and teaching labs.\u003c\/p\u003e\n\u003cimg alt=\"ROS robot selection suggestions highlighting Ackermann steering chassis versus mecanum wheel chassis for learning projects\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/ROSMASTER-R2-ROS2-AI-voice-interaction-Robot-with-Ackermann_835213e1-17c9-4f56-89e6-4ab14a8b722d.jpg?v=1782091148\"\u003e\u003cp\u003eAckermann steering is recommended for car-like driving and autopilot-style navigation experiments.\u003c\/p\u003e\n\u003cimg alt=\"Specification comparison row for ROSMASTER X1 listing chassis, motors, LiDAR options, camera, and voice interaction\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/ROSMASTER-R2-ROS2-AI-voice-interaction-Robot-with-Ackermann_994c2a58-cfaf-4a4a-a852-7bdc1b605c5f.jpg?v=1782091154\"\u003e\u003cimg alt=\"ROSMASTER R2 specs table showing Ackermann steering chassis, 520 motors, LiDAR options, Astra Pro depth camera, voice control\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/ROSMASTER-R2-ROS2-AI-voice-interaction-Robot-with-Ackermann.webp?v=1782091160\"\u003e\u003cp\u003eCore hardware includes an Ackermann chassis, 520 motors, LiDAR options, and an Astra Pro depth camera for perception tasks.\u003c\/p\u003e\n\u003cimg alt=\"Specification comparison row for ROSMASTER X3 with mecanum chassis, motor ratio, LiDAR options, Astra Pro camera, voice interaction\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/ROSMASTER-R2-ROS2-AI-voice-interaction-Robot-with-Ackermann_a75fe9f5-4739-465f-acf2-f3acf3208d6a.jpg?v=1782091165\"\u003e\u003cimg alt=\"Specification comparison row for ROSMASTER X3 Plus listing mecanum chassis, 6DOF robotic arm, YDLIDAR 4ROS and camera\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/ROSMASTER-R2-ROS2-AI-voice-interaction-Robot-with-Ackermann_9e20e9b6-10e0-42f2-8ef7-5f8e999b4b20.webp?v=1782091171\"\u003e\u003cimg alt=\"Main control selection table comparing Raspberry Pi 5 and NVIDIA Jetson boards with CPU, RAM, storage, and power notes\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/ROSMASTER-R2-ROS2-AI-voice-interaction-Robot-with-Ackermann_7a9d1055-e1d9-4c70-9089-85de56ef5dbf.jpg?v=1782091177\"\u003e\u003cp\u003ePerformance and power draw vary by controller, making it easy to match compute needs to your ROS workload.\u003c\/p\u003e\n\u003cimg alt=\"Version differences chart for standard, superior, and ultimate kits with optional LiDAR, Astra Pro camera, voice module, display\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/ROSMASTER-R2-ROS2-AI-voice-interaction-Robot-with-Ackermann_6a2b325e-efbe-42c7-9243-1a93e1881dc7.jpg?v=1782091184\"\u003e\u003cp\u003eDifferent kit versions let you add sensors and interaction modules based on your mapping and AI goals.\u003c\/p\u003e\n\u003cimg alt=\"Ackermann chassis steering geometry graphic showing turning radius, patented structure, anti-collision bar, and tire details\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/ROSMASTER-R2-ROS2-AI-voice-interaction-Robot-with-Ackermann_2a344cb6-303d-4806-868f-6844899d9db5.jpg?v=1782091190\"\u003e\u003cp\u003eThe aluminum Ackermann chassis is designed for stable steering, with protective structure details called out for study and maintenance.\u003c\/p\u003e\n\u003cimg alt=\"Autopilot capability infographic for ROSMASTER R2 covering road detection, lane keeping, autonomous parking, and steering decisions\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/ROSMASTER-R2-ROS2-AI-voice-interaction-Robot-with-Ackermann_ea8fae9f-fda0-46fe-9119-563d9e75037b.jpg?v=1782091197\"\u003e\u003cp\u003eAutopilot learning topics include lane keeping, road detection, steering decisions, and parking workflows.\u003c\/p\u003e\n\u003cimg alt=\"Autopilot track map poster with road signs and labeled route layout for navigation practice scenarios\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/ROSMASTER-R2-ROS2-AI-voice-interaction-Robot-with-Ackermann_38e9fd0e-ecf5-45d6-a02a-2fce3c01394f.jpg?v=1782091202\"\u003e\u003cimg alt=\"Functions list poster for ROSMASTER R2 showing supported nodes for depth camera, LiDAR, voice module, and ROS control methods\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/ROSMASTER-R2-ROS2-AI-voice-interaction-Robot-with-Ackermann_311f83ee-d40d-437f-9cb9-f17645dd79f7.jpg?v=1782091208\"\u003e\u003cp\u003eA broad set of ROS topics is provided across sensing, navigation, voice interaction, and remote control methods.\u003c\/p\u003e\n\u003cimg alt=\"ROS-related functions panel for LiDAR mapping, autonomous exploration, path planning navigation, obstacle avoidance, voice navigation\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/ROSMASTER-R2-ROS2-AI-voice-interaction-Robot-with-Ackermann.png?v=1782091367\"\u003e\u003cp\u003eLiDAR-focused demos cover mapping, exploration, path planning, obstacle avoidance, and voice-guided point navigation.\u003c\/p\u003e\n\u003cimg alt=\"Depth camera related functions panel with depth\/point cloud output, ORB-SLAM2 + Octomap mapping, and RTAB-Map 3D navigation\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/ROSMASTER-R2-ROS2-AI-voice-interaction-Robot-with-Ackermann_a1d55072-fb72-4b28-8baa-897baa190a42.png?v=1782091373\"\u003e\u003cp\u003eDepth-camera workflows include point clouds plus SLAM options such as ORB-SLAM2\/OctoMap and RTAB-Map 3D navigation.\u003c\/p\u003e\n\u003cimg alt=\"Infographic showing ROSMASTER R2 AI vision functions like MediaPipe interaction, AR tag and color recognition, and target tracking\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/ROSMASTER-R2-ROS2-AI-voice-interaction-Robot-with-Ackermann_e9813a77-575a-4c73-ac9b-33d9f89660fc.jpg?v=1782091225\"\u003e\u003cp\u003eROSMASTER R2 includes AI visual recognition options such as MediaPipe-based interaction, AR tag and color recognition, and target tracking, plus multi-robot formation control.\u003c\/p\u003e\n\u003cimg alt=\"ROSMASTER R2 ROS2 Ackermann robot feature graphic showing mobile app, gamepad remote control, and voice interaction modes\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/ROSMASTER-R2-ROS2-AI-voice-interaction-Robot-with-Ackermann_e3c8e4dc-932b-472c-b51a-9ed39f6d17bb.jpg?v=1782091232\"\u003e\u003cp\u003eROSMASTER R2 supports mobile app or gamepad remote control, plus optional voice interaction features like color recognition and tracking.\u003c\/p\u003e\n\u003cimg alt=\"ROSMASTER R2 cross-platform app control infographic showing iOS\/Android remote and mapping navigation apps for ROS1\/ROS2\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/ROSMASTER-R2-ROS2-AI-voice-interaction-Robot-with-Ackermann_6c147208-3303-4373-89a7-5729aee561d3.jpg?v=1782091237\"\u003e\u003cp\u003eROSMASTER R2 supports iOS\/Android remote control and mapping navigation apps, along with options like keyboard, Jupyter Lab, and ROS system control.\u003c\/p\u003e\n\u003cimg alt=\"ROS2 Ackermann robot infographic showing RViz simulation control screenshot and large language model case support logos\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/ROSMASTER-R2-ROS2-AI-voice-interaction-Robot-with-Ackermann_68945849-9c8c-4a7c-a608-1dac3db9f0a2.jpg?v=1782091244\"\u003e\u003cp\u003eROSMASTER R2 resources include RViz simulation control examples and large language model case references for ROS2 learning.\u003c\/p\u003e\n\u003cimg alt=\"ROSMASTER R2 course content table outlining ROS2 Ackermann robot lessons and training modules\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/ROSMASTER-R2-ROS2-AI-voice-interaction-Robot-with-Ackermann_7123901e-2e5f-4553-86c9-49dbd6fe5f89.jpg?v=1782091250\"\u003e\u003cp\u003eROSMASTER R2 course content is organized into step-by-step ROS2 lessons and module topics for building and controlling an Ackermann robot.\u003c\/p\u003e\n\u003cimg alt=\"ROSMASTER R2 gift info page on a laptop, showing ROS1 Melodic tutorial folders and course links for the robot kit\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/ROSMASTER-R2-ROS2-AI-voice-interaction-Robot-with-Ackermann_c277cd29-6aba-41fe-9044-613b4bc06e59.jpg?v=1782091257\"\u003e\u003cp\u003eROSMASTER R2 includes a download page with ROS tutorial folders and course outlines to help you get started with setup and programming.\u003c\/p\u003e\n\u003cimg alt=\"Screenshot of ROS2 Foxy\/Humble tutorial folders and ROS2 basic video lesson thumbnails with English subtitles\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/ROSMASTER-R2-ROS2-AI-voice-interaction-Robot-with-Ackermann_8c2df825-2a17-438a-8907-47f6e935c5f1.jpg?v=1782091263\"\u003e\u003cp\u003eROSMASTER R2 includes ROS2 Foxy\/Humble tutorial resources covering topics like Linux, Docker, lidar, OpenCV, and basic ROS2 lessons with English subtitles.\u003c\/p\u003e\n\u003cimg alt=\"ROSMASTER R2 ROS2 Ackermann robot resource page with video tutorials and open-source Python code files\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/ROSMASTER-R2-ROS2-Ackermann-Robot.webp?v=1782092263\"\u003e\u003cp\u003eROSMASTER R2 includes downloadable resources with English-subtitled video tutorials and open-source Python code for ROS2 development.\u003c\/p\u003e\n\u003cimg alt=\"Exploded view of ROSMASTER R2 ROS2 Ackermann robot chassis with optional 7-inch screen, lidar, depth camera and battery pack.\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/ROSMASTER-R2-ROS2-AI-voice-interaction-Robot-with-Ackermann_f43e071c-55b3-43b5-8549-d752559ce23a.jpg?v=1782091300\"\u003e\u003cp\u003eROSMASTER R2 uses an Ackermann steering chassis with expansion boards, encoder motors, battery pack, and optional modules like lidar, depth camera, and a 7-inch display.\u003c\/p\u003e\n\u003cimg alt=\"ROSMASTER R2 Ackermann robot with SLAM A1 or YDLIDAR 4ROS lidar option and Astra Pro Plus 2MP depth camera\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/ROSMASTER-R2-ROS2-AI-voice-interaction-Robot-with-Ackermann_4ca188c5-d1bd-40cb-8097-3af160ce4fc6.jpg?v=1782091307\"\u003e\u003cp\u003eROSMASTER R2 supports either SLAM A1 or YDLIDAR 4ROS laser lidar, plus an Astra Pro Plus depth camera upgraded to 2MP for perception.\u003c\/p\u003e\n\u003cimg alt=\"ROS robot expansion board and AI voice interaction module layout for the ROSMASTER R2 Ackermann robot\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/ROSMASTER-R2-ROS2-AI-voice-interaction-Robot-with-Ackermann_3e001839-d60b-4025-a0f3-a777215fa295.jpg?v=1782091313\"\u003e\u003cp\u003eThe ROS robot expansion board and AI voice interaction module integrate with the ROSMASTER R2 chassis to support sensor connections and voice control features.\u003c\/p\u003e\n\u003cimg alt=\"ROSMASTER R2 ROS2 Ackermann robot dimension drawing with side\/front views and 7-inch HD touch screen measurements\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/ROSMASTER-R2-ROS2-AI-voice-interaction-Robot-with-Ackermann_01b4ae15-1eed-4c87-b92a-b8a7fad9cbc2.jpg?v=1782091319\"\u003e\u003cp\u003eROSMASTER R2 dimension views provide key overall length and width references, along with 7-inch HD touch screen sizing for enclosure planning.\u003c\/p\u003e\n\u003cimg alt=\"ROSMASTER R2 Ackermann ROS2 robot spec sheet with Raspberry Pi\/Jetson options, I\/O and remote control details\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/ROSMASTER-R2-ROS2-AI-voice-interaction-Robot-with-Ackermann_8270279a-52f5-4906-b50e-4ce70811ca35.jpg?v=1782091326\"\u003e\u003cp\u003eROSMASTER R2 Ackermann ROS2 robot supports Raspberry Pi 5\/4 or Jetson Orin Nano\/AGX, with camera\/SLAM\/LiDAR inputs and app or remote control options.\u003c\/p\u003e\n\u003cimg alt=\"ROSMASTER R2 ROS2 Ackermann robot shipping list showing chassis, control boards, camera module, cables and accessories\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/ROSMASTER-R2-ROS2-AI-voice-interaction-Robot-with-Ackermann_e0b419a6-60cb-4e26-afae-9095c9e1b478.jpg?v=1782091332\"\u003e\u003cp\u003eThe ROSMASTER R2 kit includes the Ackermann steering chassis, electronic control boards, camera module, wiring, and assorted mounting accessories for assembly.\u003c\/p\u003e\n\u003c\/div\u003e","brand":"Yahboom","offers":[{"title":"Standard-without \/ RPi 5-8G","offer_id":53126088032480,"sku":"6000200594-1","price":770.85,"currency_code":"USD","in_stock":true},{"title":"Standard-without \/ NANO 4GB SUB","offer_id":53126088065248,"sku":"6000200594-2","price":782.55,"currency_code":"USD","in_stock":true},{"title":"Standard-without \/ Orin NANO SUPER-4GB","offer_id":53126088098016,"sku":"6000200594-3","price":829.35,"currency_code":"USD","in_stock":true},{"title":"Standard-without \/ Orin NANO SUPER-8GB","offer_id":53126088130784,"sku":"6000200594-4","price":829.35,"currency_code":"USD","in_stock":true},{"title":"Standard-without \/ Orin NX SUPER-8GB","offer_id":53126088163552,"sku":"6000200594-5","price":829.35,"currency_code":"USD","in_stock":true},{"title":"Standard-without \/ Orin NX SUPER-16GB","offer_id":53126088196320,"sku":"6000200594-6","price":829.35,"currency_code":"USD","in_stock":true},{"title":"Standard-with \/ RPi 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SUPER-16GB","offer_id":53126089179360,"sku":"6000200594-36","price":2502.45,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0643\/3210\/3904\/files\/Yahboom_ROSMASTER_R2_Robot_Car_main_image.png?v=1782096528"},{"product_id":"yahboom-transbot-se-robot","title":"Yahboom Transbot SE ROS Robot Car with 3DOF Arm \u0026 2MP PTZ, for Jetson Nano B01 \/ Raspberry Pi 5","description":"\u003ch2\u003eOverview\u003c\/h2\u003e\u003cp\u003eTransbot SE is a ROS Robot Car (tracked crawler platform) designed for AI vision and robotics development with Jetson Nano B01 or Raspberry Pi 5. It uses an all-aluminum alloy body and integrates a 3DOF robotic arm plus a 2DOF camera PTZ for vision-based control, tracking, and robot arm simulation with MoveIt.\u003c\/p\u003e\u003cp\u003eNeed help choosing a version (with\/without Jetson Nano or Raspberry Pi) or preparing the software environment? Contact support via \u003ca href=\"https:\/\/rcdrone.top\/\" rel=\"noopener noreferrer\" target=\"_blank\"\u003ehttps:\/\/rcdrone.top\/\u003c\/a\u003e or email \u003ca href=\"mailto:support@rcdrone.top\"\u003esupport@rcdrone.top\u003c\/a\u003e.\u003c\/p\u003e\u003ch2\u003eKey Features\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003eTracked crawler chassis\u003c\/strong\u003e with differential track structure for off-road driving\u003c\/li\u003e\n\u003cli\u003e\u003cstrong\u003eAll-aluminum alloy body\u003c\/strong\u003e\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003e3DOF robotic arm\u003c\/strong\u003e (intelligent serial bus servo) for gripping\/handling and simulation workflows\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003e2DOF camera PTZ\u003c\/strong\u003e with \u003cstrong\u003e2MP camera\u003c\/strong\u003e (horizontal\/vertical rotation)\u003c\/li\u003e\n\u003cli\u003e\u003cstrong\u003e520 encoder motors\u003c\/strong\u003e\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eBuilt-in AI vision stack\u003c\/strong\u003e: OpenCV image processing, MediaPipe machine learning, YOLO object recognition, and an AI deep learning framework\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eInterconnection control\u003c\/strong\u003e options shown: Remote control APP, Jupyter web programming control, ROS system control, cross-platform interconnection control, multi-vehicle formation control\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eProgramming\u003c\/strong\u003e: Python programming and C++ programming are indicated\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch2\u003eAI Vision \u0026amp; Control Functions (Shown)\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003eOpenCV image processing\u003c\/strong\u003e: Object Detection (recognize specific object categories), AR Vision (12 effects displayed through chessboard paper), AR QR code (generate and recognize AR QR codes), Face recognition (autonomous training and real-time recognition through real-time collection of facial images)\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eAI visual gameplay\u003c\/strong\u003e: Color Tracking, Object Tracking (camera PTZ tracks objects in real time), Robotic arm handling (QR code command-based handling), Autopilot (custom color selection; follows a recognized color path)\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eMoveIt robotic arm control\u003c\/strong\u003e: forward\/inverse kinematics algorithm, Cartesian path planning, collision detection, MoveIt simulation\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eGesture recognition control (MediaPipe)\u003c\/strong\u003e: palm-controlled chassis movement, gesture-controlled robotic arm action groups, gesture-controlled chassis movement, arm attitude control (robotic arm imitates arm posture and palm open\/close)\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eMediaPipe development\u003c\/strong\u003e: gesture recognition, face recognition, 3D object recognition (examples shown: “SHOE”, “CHAIR”, “CUP”, “CAMERA”, etc.)\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eDeep learning examples shown\u003c\/strong\u003e: KNN recognition of handwritten digits; YOLO object recognition (custom object recognition via training custom datasets using the YOLOv5 algorithm)\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch2\u003eSpecifications\u003c\/h2\u003e\u003ctable border=\"1\" cellpadding=\"6\" cellspacing=\"0\"\u003e\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003eRobot type\u003c\/td\u003e\n\u003ctd\u003eTracked crawler ROS Robot Car\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eCompatible main boards (stated)\u003c\/td\u003e\n\u003ctd\u003eJetson Nano B01; Raspberry Pi 5\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eChassis \/ body material\u003c\/td\u003e\n\u003ctd\u003eAluminum alloy (all-aluminum alloy body stated)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eRobotic arm\u003c\/td\u003e\n\u003ctd\u003e3DOF robotic arm (intelligent serial bus servo)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eCamera \u0026amp; pan\/tilt\u003c\/td\u003e\n\u003ctd\u003e2DOF camera PTZ; 2MP camera\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eDrive motor\u003c\/td\u003e\n\u003ctd\u003e520 motor with encoder (520 encoder motors stated)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eBattery (shown)\u003c\/td\u003e\n\u003ctd\u003eLithium Battery: 12V 4400mAh\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eCharger (shown)\u003c\/td\u003e\n\u003ctd\u003e12.6V 2A charger\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\u003c\/table\u003e\u003ch2\u003eVersion Options (Shown)\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003eJetson Nano version\u003c\/strong\u003e: With Jetson Nano 4GB (SUB version) \/ Without Jetson Nano\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eRaspberry Pi version\u003c\/strong\u003e: With Raspberry Pi 5-4GB \/ Without Raspberry Pi (requires Raspberry Pi with 4GB or more of RAM)\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch2\u003eApplications\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003eROS learning and robot motion control development\u003c\/li\u003e\n\u003cli\u003eComputer vision projects (OpenCV), gesture recognition (MediaPipe), and object recognition (YOLO)\u003c\/li\u003e\n\u003cli\u003eRobotic arm simulation and planning experiments with MoveIt (kinematics, Cartesian planning, collision detection)\u003c\/li\u003e\n\u003cli\u003eRemote control and web-based programming control demonstrations (APP control, Jupyter, ROS system control)\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch2\u003eTutorials \u0026amp; Learning Resources\u003c\/h2\u003e\u003cp\u003e\u003cstrong\u003eTutorial link:\u003c\/strong\u003e\u003ca href=\"http:\/\/www.yahboom.net\/study\/Transbot-SE\" rel=\"noopener noreferrer\" target=\"_blank\"\u003ehttp:\/\/www.yahboom.net\/study\/Transbot-SE\u003c\/a\u003e\u003c\/p\u003e\u003cp\u003e\u003ciframe height=\"420\" src=\"https:\/\/www.youtube.com\/embed\/5pTV1WZ7jTo\" title=\"Transbot SE ROS Robot Car for Jetson NANO B01\/Raspberry Pi 5\" width=\"600\"\u003e\u003c\/iframe\u003e\u003c\/p\u003e\u003ch3\u003eCourse Catalog (Shown)\u003c\/h3\u003e\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003eIntroduction of Transbot SE\u003c\/strong\u003e: About Transbot SE; Precautions for use and battery safety; First Trial\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eFirst Trial\u003c\/strong\u003e: WiFi network configuration; APP Control; USB wireless handle control; Handle video control\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eHardware control course\u003c\/strong\u003e: About expansion board and update firmware; Close self-starting process; Install Transbot SE library; Control buzzer and button; Control PWM servo; Control bus servo; Control motor; Control robot movement\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eLinux operating system configuration\u003c\/strong\u003e: Virtual machine installation and use; Linux basics; Remote control; Multi-machine communication configuration; Static IP and hotspot mode; Web page real-time monitoring; Expansion tutorial; Write system images\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eDocker use\u003c\/strong\u003e: Docker overview and docker installation; Common commands for docker image containers; Docker images deeply understand and publish images; Docker hardware interaction and data processing; Start the Dobot container\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eROS Basic course\u003c\/strong\u003e: ROS introduction; Project file structure; Common commands and tools; Publisher; Subscribers; Customize topic messages and use; Client; Server; Custom service messages and usage; TF release and monitoring\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eOpenCV courses\u003c\/strong\u003e: Getting started with Open Source CV; Open Source CV geometric transformation; Open Source CV image processing and drawing text line segments; Open Source CV image beautification; AR vision; AR QR code; ROS+Opencv foundation; ROS+Opencv application; MediaPipe development\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eROS robot course\u003c\/strong\u003e: PID algorithm; Basic communication; Keyboard control; Handle control; Robot state estimation; Data calibration\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eROS simple camera course\u003c\/strong\u003e: HD camera calibration; HD camera color tracking; HD camera color tracking (chassis); HD camera object tracking; KCF target tracking; HD camera face tracking; HD camera robotic arm carrying; HD camera Autopilot\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eROS robotic arm control tutorial\u003c\/strong\u003e: MoveIt configuration; MoveIt control the real machine; MoveIt moves randomly; MoveIt kinematics design; MoveIt cartesian path; MoveIt avoiding; MoveIt scene design; MoveIt trajectory planning\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eROS multi-robot control\u003c\/strong\u003e: Multi-robot control; Multi-robot queue performance; Multi-robot robot arm dancing\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eROS robotic arm MoveIt control course\u003c\/strong\u003e: MoveIt configuration; MoveIt control the real machine; MoveIt moves randomly; MoveIt kinematics design; MoveIt cartesian path; MoveIt avoiding; MoveIt scene design; MoveIt trajectory planning; Mediapie palm control car; Mediapipe gesture control robotic arm; Mediapipe gesture control car; Mediapipe arm attitude control\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eDeep learning courses\u003c\/strong\u003e: KNN recognizes handwritten digits; Basic use of TensorFlow; Basic use of PyTorch (jetson); yolov5 model training (jetson); yolov5+tensorrt acceleration (jetson); yolov4-tiny\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch2 id=\"details\"\u003eDetails\u003c\/h2\u003e\u003cdiv class=\"details-gallery\"\u003e\n\u003cimg alt=\"Yahboom Transbot SE ROS Robot tracked AI visual robot with 3DOF arm and camera PTZ on crawler chassis\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Transbot-SE-ROS-Robot-Car-for-Jetson-NANO-B01Raspberry-Pi-5.jpg?v=1782089204\"\u003e\u003cp\u003eTransbot SE is a tracked ROS robot platform built for AI vision projects, featuring an all‑metal body, a 3DOF arm, and a 2DOF camera gimbal.\u003c\/p\u003e\n\u003cimg alt=\"Transbot SE features overview: ROS, OpenCV, MediaPipe, YOLO, MoveIt arm simulation, and multiple control methods\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Transbot-SE-ROS-Robot-Car-for-Jetson-NANO-B01Raspberry-Pi-5_c79abe35-e288-4f09-b854-09abc1436c64.jpg?v=1782089210\"\u003e\u003cp\u003eA full software stack supports OpenCV vision, MediaPipe gesture control, YOLO recognition, and MoveIt-based robotic arm simulation.\u003c\/p\u003e\n\u003cimg alt=\"Transbot SE crawler robot outdoors on grass, showing tracked chassis, robotic arm gripper, and dual antennas\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Transbot-SE-ROS-Robot-Car-for-Jetson-NANO-B01Raspberry-Pi-5_0d6d957a-a082-4ab0-b0bd-63e74490950a.jpg?v=1782089217\"\u003e\u003cp\u003eThe tracked crawler chassis and differential drive are designed for stable movement on varied indoor and outdoor surfaces.\u003c\/p\u003e\n\u003cimg alt=\"Raspberry Pi 5 compatibility graphic for Transbot SE, showing Raspberry Pi 5 board and 4GB RAM box\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Transbot-SE-ROS-Robot-Car-for-Jetson-NANO-B01Raspberry-Pi-5_1a644d85-ede6-475f-83a3-e788e9ab79b3.jpg?v=1782089223\"\u003e\u003cp\u003eCompatible with Raspberry Pi 5 for ROS development and smoother on-board vision processing.\u003c\/p\u003e\n\u003cimg alt=\"Version options for Transbot SE: Jetson Nano 4GB USB version or Raspberry Pi 5 4GB, with or without main board\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Transbot-SE-ROS-Robot-Car-for-Jetson-NANO-B01Raspberry-Pi-5_88fa5273-f295-4080-a194-6a0ef595228f.jpg?v=1782089228\"\u003e\u003cp\u003eChoose a kit with Jetson Nano or Raspberry Pi included, or a no-board version if you already have your own controller.\u003c\/p\u003e\n\u003cimg alt=\"OpenCV image processing functions: object detection, AR vision effects, AR QR code recognition, and face recognition demo\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Transbot-SE-ROS-Robot-Car-for-Jetson-NANO-B01Raspberry-Pi-5_bbd6fb2f-a5f1-4d05-83e3-0748f35157e0.jpg?v=1782089235\"\u003e\u003cp\u003eBuilt-in OpenCV demos include object detection, AR effects with marker boards, and QR code generation\/recognition workflows.\u003c\/p\u003e\n\u003cimg alt=\"AI visual gameplay modes: color tracking, object tracking with camera PTZ, QR-code arm handling, and autopilot path following\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Transbot-SE-ROS-Robot-Car-for-Jetson-NANO-B01Raspberry-Pi-5_4f2dcf9a-7338-4f48-bc97-14bbe08362e8.jpg?v=1782089241\"\u003e\u003cp\u003eAI visual gameplay adds color tracking, PTZ-based object tracking, QR-command pick-and-place, and color-path autopilot.\u003c\/p\u003e\n\u003cimg alt=\"MoveIt robotic arm control screen for Transbot SE, highlighting kinematics design and collision detection in simulation\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Transbot-SE-ROS-Robot-Car-for-Jetson-NANO-B01Raspberry-Pi-5_59de8b52-1ad1-4580-a4bf-d7da466c7fd7.jpg?v=1782089246\"\u003e\u003cp\u003eMoveIt integration supports kinematics, Cartesian planning, and collision checking for robotic arm development and simulation.\u003c\/p\u003e\n\u003cimg alt=\"MediaPipe gesture recognition control for Transbot SE: palm-controlled driving and gesture-controlled robotic arm actions\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Transbot-SE-ROS-Robot-Car-for-Jetson-NANO-B01Raspberry-Pi-5_584025f2-4d3a-417d-9bb5-97da25ac18db.jpg?v=1782089252\"\u003e\u003cp\u003eMediaPipe gesture control enables palm-driven movement plus gesture-triggered robotic arm action groups and posture mirroring.\u003c\/p\u003e\n\u003cimg alt=\"MediaPipe development and deep learning examples: gesture and face recognition, 3D object recognition, KNN digits, YOLO\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Transbot-SE-ROS-Robot-Car-for-Jetson-NANO-B01Raspberry-Pi-5_ee90df7d-beff-4e1e-b11b-97fe3df50bb5.jpg?v=1782089259\"\u003e\u003cp\u003eSample projects include gesture\/face recognition, 3D object labels, KNN digit recognition, and YOLO dataset training examples.\u003c\/p\u003e\n\u003cimg alt=\"Remote Control app interface alongside Transbot SE robot, showing AR and radar-style features in the mobile UI\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Transbot-SE-ROS-Robot-Car-for-Jetson-NANO-B01Raspberry-Pi-5_b5c10f6b-c60f-4ff1-a3ea-b00d9dda5789.jpg?v=1782089264\"\u003e\u003cp\u003eUse the remote-control app for quick driving, camera features, and interactive AI modes without a full desktop setup.\u003c\/p\u003e\n\u003cimg alt=\"Interconnection control interfaces: remote control UI, autonomous driving UI, AR interface, smart patrol, Jupyter and ROS\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Transbot-SE-ROS-Robot-Car-for-Jetson-NANO-B01Raspberry-Pi-5_72653f9e-a756-401d-92ad-7ae9eee0047e.jpg?v=1782089271\"\u003e\u003cp\u003eMultiple control paths are supported, including Jupyter web programming, ROS system control, and cross-platform interconnection.\u003c\/p\u003e\n\u003cimg alt=\"Course catalog list for Transbot SE covering ROS basics, camera\/vision topics, MoveIt arm control, and AI features\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Transbot-SE-ROS-Robot-Car-for-Jetson-NANO-B01Raspberry-Pi-5_15a355aa-f3f7-4fc5-b3bb-85557735040e.jpg?v=1782089277\"\u003e\u003cp\u003eA structured course catalog guides setup, ROS basics, vision features, and advanced control topics.\u003c\/p\u003e\n\u003cimg alt=\"Yahboom online course webpage for Transbot SE with tutorial link displayed at top of the screen\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Transbot-SE-ROS-Robot-Car-for-Jetson-NANO-B01Raspberry-Pi-5_fc2f8ec0-9ef6-44f5-af8b-de794dac74b1.jpg?v=1782089283\"\u003e\u003cp\u003eTutorial resources are available online to help build the software environment and start ROS and vision demos faster.\u003c\/p\u003e\n\u003cimg alt=\"Transbot SE structure callouts: 2DOF camera PTZ, 3DOF arm, aluminum body, ROS main board optional, encoder motors\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Transbot-SE-ROS-Robot-Car-for-Jetson-NANO-B01Raspberry-Pi-5_84089eb9-dd0e-4b39-895c-0d62260e707a.jpg?v=1782089289\"\u003e\u003cp\u003eHardware highlights include the 2DOF camera PTZ, 3DOF serial-bus arm, encoder motors, and an optional ROS main control board.\u003c\/p\u003e\n\u003cimg alt=\"Expansion board function distribution diagram with labeled ports for power, USB, serial, motor interfaces, and sensors\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Transbot-SE-ROS-Robot-Car-for-Jetson-NANO-B01Raspberry-Pi-5_57a01294-d2a4-4b3e-9dbb-c5670f0ca536.jpg?v=1782089295\"\u003e\u003cp\u003eThe expansion board breakout simplifies wiring for motors, serial devices, USB peripherals, and common sensors.\u003c\/p\u003e\n\u003cimg alt=\"Transbot SE product size parameters drawing with side and top views and dimensions in millimeters\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Transbot-SE-ROS-Robot-Car-for-Jetson-NANO-B01Raspberry-Pi-5_4d3be451-7a25-45c5-9018-59f29a9f1283.jpg?v=1782089301\"\u003e\u003cp\u003eDetailed dimensions help plan mounting space, lab layouts, and accessory integration.\u003c\/p\u003e\n\u003cimg alt=\"Transbot SE robot parameters table listing Raspberry Pi 5 and Jetson Nano configurations, power, OS, interfaces, and weight\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Transbot-SE-ROS-Robot-Car-for-Jetson-NANO-B01Raspberry-Pi-5_f7459876-541f-4917-8ed4-d1ed50a0b99d.jpg?v=1782089307\"\u003e\u003cp\u003eA complete parameter table compares controller options and summarizes power, interfaces, operating system, and assembly details.\u003c\/p\u003e\n\u003cimg alt=\"3DOF robotic arm dimension diagram and serial bus servo specs for YB-SD15M and YB-S06 claw arm\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Transbot-SE-ROS-Robot-Car-for-Jetson-NANO-B01Raspberry-Pi-5_a3fdcb68-1f18-41a6-9ec5-a44046f9f7fe.jpg?v=1782089313\"\u003e\u003cp\u003e3DOF robotic arm dimensions and key servo parameters (YB-SD15M joints and YB-S06 claw) help with layout planning and power selection.\u003c\/p\u003e\n\u003cimg alt=\"Dimension diagram and specs table for Yahboom Transbot SE 2DOF camera PTZ, showing sizes and 2MP 1080p USB 2.0 camera.\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Transbot-SE-ROS-Robot-Car-for-Jetson-NANO-B01Raspberry-Pi-5_4c4c130c-2296-4c21-a6ae-a38a7162e077.jpg?v=1782089319\"\u003e\u003cp\u003eThe 2DOF camera PTZ module includes a 2MP 1080p USB 2.0 camera and a compact mount with dimensions labeled in millimeters for easier integration.\u003c\/p\u003e\n\u003cimg alt=\"Two 520 encoder geared motors with parameter table listing 12V rated voltage, 1:56 reduction, 205±10 rpm, Hall encoder\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Transbot-SE-ROS-Robot-Car-for-Jetson-NANO-B01Raspberry-Pi-5_52b1b45d-762a-41d3-a10d-2c5546e7fea1.jpg?v=1782089325\"\u003e\u003cp\u003eThe 520 encoder geared motor uses a 12V brushed design with a 1:56 reduction ratio and a Hall encoder (3.3–5V), rated at 205±10 rpm after deceleration.\u003c\/p\u003e\n\u003cimg alt=\"12V 4400mAh lithium battery pack with T-type plug, size 65×55×37 mm, for Yahboom Transbot SE ROS robot\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Transbot-SE-ROS-Robot-Car-for-Jetson-NANO-B01Raspberry-Pi-5_c48b47bc-938b-431d-81e3-590b5784593b.jpg?v=1782089331\"\u003e\u003cp\u003eThe 12V 4400mAh lithium battery pack uses a T-type discharge plug and lists 8.8A rated and 10A max discharge current.\u003c\/p\u003e\n\u003cimg alt=\"Packing list diagram for Yahboom Transbot SE ROS robot kit with frame, tracks, wheels, arm, camera pan-tilt and electronics\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Transbot-SE-ROS-Robot-Car-for-Jetson-NANO-B01Raspberry-Pi-5_996700d8-25f4-4382-b71f-0cfb9001ff66.jpg?v=1782089337\"\u003e\u003cp\u003eThe Yahboom Transbot SE ROS robot kit includes the frame and top plate, tracks and wheels, a 3DOF robotic arm, 2DOF camera PTZ, motors, battery, charger, and cables.\u003c\/p\u003e\n\u003cimg alt=\"Parts package for Yahboom Transbot SE ROS robot: Jetson Nano or Raspberry Pi options with fan, antennas, TF card.\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Transbot-SE-ROS-Robot-Car-for-Jetson-NANO-B01Raspberry-Pi-5_41f7d521-af01-4be5-bc61-fe183d1c16a7.jpg?v=1782089343\"\u003e\u003cp\u003eThe Transbot SE ROS robot parts packages include Jetson Nano or Raspberry Pi options with accessories like a cooling fan, antennas, and TF storage.\u003c\/p\u003e\n\u003c\/div\u003e","brand":"Yahboom","offers":[{"title":"Without \/ RPi 5-4GB","offer_id":53126119620832,"sku":"6000200632-1","price":332.09,"currency_code":"USD","in_stock":true},{"title":"Without \/ Jetson NANO SUB","offer_id":53126119653600,"sku":"6000200632-2","price":343.79,"currency_code":"USD","in_stock":true},{"title":"With \/ RPi 5-4GB","offer_id":53126119686368,"sku":"6000200632-3","price":624.59,"currency_code":"USD","in_stock":true},{"title":"With \/ Jetson NANO SUB","offer_id":53126119719136,"sku":"6000200632-4","price":601.19,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0643\/3210\/3904\/files\/Yahboom_Transbot_SE_1.png?v=1782096460"},{"product_id":"yahboom-muto-s2-hexapod","title":"Yahboom Muto S2 18DOF AI Vision Hexapod Robot for Raspberry Pi 5 \u0026 Jetson NANO, 2DOF PTZ FPV","description":"\u003ch2\u003eOverview\u003c\/h2\u003e\u003cp\u003eThe Yahboom Muto S2 is an 18DOF hexapod robot designed for Raspberry Pi 5 or NVIDIA Jetson NANO as the main controller. It is a desktop-level bionic hexapod robot with an aluminum alloy body, 18 degrees of freedom, and built-in inverse kinematics algorithm control for simulated gaits. With Python3 programming and OpenCV image processing, it supports AI visual interaction functions such as color recognition, tracking\/following, face tracking, QR code recognition, and visual line patrol. Control methods include mobile phone APP, wireless handle control, and computer web page (Jupyter Lab) control, with real-time video transmission (FPV).\u003c\/p\u003e\u003ch2\u003eKey Features\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003eAI Vision Hexapod Robot\u003c\/strong\u003e: Inverse Kinematics Algorithm, Bionic Gait, 18DOF Joint, AI Visual Interaction.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003e18DOF motion joints\u003c\/strong\u003e: Uses 18 high-performance servos and aluminum alloy structural parts to connect three joints on each leg.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003e35KG smart serial bus servo system\u003c\/strong\u003e: 18PCS 35KG metal servos.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003e2D camera PTZ\u003c\/strong\u003e: 2DOF camera PTZ for vision applications.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eReal-time video transmission\u003c\/strong\u003e: Connect via local area network through the mobile phone APP to view HD video footage in real time.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003ePosture \u0026amp; movement adjustment\u003c\/strong\u003e: Supports free adjustment of walking speed and robot body height (Robot Height Adjustment \/ Robot Speed Adjustment; walking speed adjustment: slow\/fast).\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eTeaching mode\u003c\/strong\u003e: Manually control single-leg movement of the host machine; another slave machine performs the same action.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eRaspberry Pi 5 support note\u003c\/strong\u003e: “MUTO RS is equipped with a regulated power supply expansion board” adapted to Raspberry Pi 5, providing a stable \u003cstrong\u003e5.1V\/5A\u003c\/strong\u003e power supply; the \u003cstrong\u003e0.6A\u003c\/strong\u003e current limit increases USB port current output to \u003cstrong\u003e1.6A\u003c\/strong\u003e (to help avoid freezing\/restarting).\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003eFor selection help and after-sales support, contact \u003ca href=\"https:\/\/rcdrone.top\/\"\u003ehttps:\/\/rcdrone.top\/\u003c\/a\u003e or email \u003ca href=\"mailto:support@rcdrone.top\"\u003esupport@rcdrone.top\u003c\/a\u003e.\u003c\/p\u003e\u003ch2\u003eSpecifications\u003c\/h2\u003e\u003ctable\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eModel\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eMuto S2\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eRobot type\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eAI Vision Hexapod Robot\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eDegrees of freedom\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e18DOF (18 degrees of freedom)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eBody material\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eAluminum alloy\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eServos\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e18PCS 35KG metal servos; 35KG smart serial bus servo\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eCamera\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e2MP 1080 HD camera; USB 1080P camera\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eCamera gimbal\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e2DOF camera PTZ\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eBattery\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e7.4V 9900mAh battery pack (9900mAh)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eMain controller compatibility\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eRaspberry Pi 5 \/ Jetson NANO\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eProgramming\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003ePython3\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eVision stack\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eOpenCV image processing; AI visual interaction; deep learning\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eRemote control\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eMobile APP, wireless handle, computer web page (Jupyter Lab); WiFi control\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/table\u003e\u003ch3\u003eMain Control Comparison (as provided)\u003c\/h3\u003e\u003ctable\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eMain control board\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eRaspberry Pi 5 8G\u003c\/td\u003e\n\u003ctd\u003eJetson NANO 4GB SUB\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eComputing power\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eTwice computing power of Raspberry Pi 4B\u003c\/td\u003e\n\u003ctd\u003e0.5 TFLOPS\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eCPU\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eCortex-A76\u003c\/td\u003e\n\u003ctd\u003eQuad-Core Arm Cortex-A57 MPCore processor\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eGPU\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eBroadcom VideoCore VII\u003c\/td\u003e\n\u003ctd\u003e128-Core NVIDIA Maxwell GPU\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eMemory\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e4GB\/8GB\u003c\/td\u003e\n\u003ctd\u003e4GB\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eStorage\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e64GB TF card for free\u003c\/td\u003e\n\u003ctd\u003e64GB U disk for free\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003ePower\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e10W\u003c\/td\u003e\n\u003ctd\u003e5W | 10W\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eAI image processing effect\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e★★★★\u003c\/td\u003e\n\u003ctd\u003e★★★\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/table\u003e\u003cp\u003eMuto S2 robot provides two main controllers, Raspberry Pi 5 and Jetson NANO 4GB SUB, and the usage methods are basically the same, both using the Ubuntu system. Different main controls only slightly affect the smoothness of the system. The course materials, product functions, and control software provided are consistent.\u003c\/p\u003e\u003ch2\u003eFunction List (Courses\/Examples)\u003c\/h2\u003e\u003ch3\u003eCamera PTZ\u003c\/h3\u003e\u003cul\u003e\n\u003cli\u003e00. Color HSV value calibration\u003c\/li\u003e\n\u003cli\u003e01. Color recognition\u003c\/li\u003e\n\u003cli\u003e02. Color tracking\u003c\/li\u003e\n\u003cli\u003e03. Color following\u003c\/li\u003e\n\u003cli\u003e04. Color recognition action group\u003c\/li\u003e\n\u003cli\u003e05. Face Detection\u003c\/li\u003e\n\u003cli\u003e06. Face tracking\u003c\/li\u003e\n\u003cli\u003e07. Greet people\u003c\/li\u003e\n\u003cli\u003e08. QR code recognition\u003c\/li\u003e\n\u003cli\u003e09. QR code instructions\u003c\/li\u003e\n\u003cli\u003e10. Visual line following\u003c\/li\u003e\n\u003cli\u003e11. Motion learning\u003c\/li\u003e\n\u003cli\u003e12. Teach pendant synchronized action\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch3\u003eMachine deep learning\u003c\/h3\u003e\u003cul\u003e\n\u003cli\u003e01. KNN\u003c\/li\u003e\n\u003cli\u003e02. TensorFlow basic tutorial\u003c\/li\u003e\n\u003cli\u003e03. Basic use of PyTorch\u003c\/li\u003e\n\u003cli\u003e04. Yolov5 detects objects in real time\u003c\/li\u003e\n\u003cli\u003e05. Jetson-inference environment construction\u003c\/li\u003e\n\u003cli\u003e06. Object detection and action\u003c\/li\u003e\n\u003cli\u003e07. Body movement control robot\u003c\/li\u003e\n\u003cli\u003e08. Gesture controlled robot\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch3\u003eJetson NANO course\u003c\/h3\u003e\u003cul\u003e\n\u003cli\u003e1. About JetsonNano system\u003c\/li\u003e\n\u003cli\u003e2. Network configuration and Jtop\u003c\/li\u003e\n\u003cli\u003e3. Swap space increased\u003c\/li\u003e\n\u003cli\u003e4. API usage of GPIO library\u003c\/li\u003e\n\u003cli\u003e5. Hardware library configuration\u003c\/li\u003e\n\u003cli\u003e6. Pin reading function\u003c\/li\u003e\n\u003cli\u003e7. Pin level output control\u003c\/li\u003e\n\u003cli\u003e8. Control LED\u003c\/li\u003e\n\u003cli\u003e9. Jetson Nano communicates with external device serial ports\u003c\/li\u003e\n\u003cli\u003e10. Jetson nano I2C communication\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch3\u003eRemote control course\u003c\/h3\u003e\u003cul\u003e\n\u003cli\u003e1. Close APP control process\u003c\/li\u003e\n\u003cli\u003e2. Mobile APP remote control tutorial\u003c\/li\u003e\n\u003cli\u003e3. USB wireless handle remote control\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch3\u003eRobot basic course\u003c\/h3\u003e\u003cul\u003e\n\u003cli\u003e1. Control buzzer\u003c\/li\u003e\n\u003cli\u003e2. Control PWM servo\u003c\/li\u003e\n\u003cli\u003e3. Control bus servo\u003c\/li\u003e\n\u003cli\u003e4. Robot forward and backward\u003c\/li\u003e\n\u003cli\u003e5. Robot move left and right\u003c\/li\u003e\n\u003cli\u003e6. Robot rotate left and right\u003c\/li\u003e\n\u003cli\u003e7. Control height\u003c\/li\u003e\n\u003cli\u003e8. Control head\u003c\/li\u003e\n\u003cli\u003e9. Action group performance\u003c\/li\u003e\n\u003cli\u003e10. Read data\u003c\/li\u003e\n\u003cli\u003e11. Host computer control\u003c\/li\u003e\n\u003cli\u003e12. Camera driver\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch3\u003eRaspberry Pi course\u003c\/h3\u003e\u003cul\u003e\n\u003cli\u003e1. Build Python environment\u003c\/li\u003e\n\u003cli\u003e2. Helloworld\u003c\/li\u003e\n\u003cli\u003e3. Pin output high and low levels\u003c\/li\u003e\n\u003cli\u003e4. Read pin high and low levels\u003c\/li\u003e\n\u003cli\u003e5. Output PWM\u003c\/li\u003e\n\u003cli\u003e6. Serial communication\u003c\/li\u003e\n\u003cli\u003e7. I2C communication\u003c\/li\u003e\n\u003cli\u003e8. Serial communication\u003c\/li\u003e\n\u003cli\u003e9. I2C communication\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch3\u003eOpen Source CV course\u003c\/h3\u003e\u003cul\u003e\n\u003cli\u003e1. Introduction to Open Source CV\u003c\/li\u003e\n\u003cli\u003e2. Image reading and display\u003c\/li\u003e\n\u003cli\u003e3. Picture writing\u003c\/li\u003e\n\u003cli\u003e4. Image Quality\u003c\/li\u003e\n\u003cli\u003e5. Pixel operations\u003c\/li\u003e\n\u003cli\u003e6. Image zoom\u003c\/li\u003e\n\u003cli\u003e7. Picture cut\u003c\/li\u003e\n\u003cli\u003e8. Picture pan\u003c\/li\u003e\n\u003cli\u003e9. Picture mirroring\u003c\/li\u003e\n\u003cli\u003e10. Affine transformation\u003c\/li\u003e\n\u003cli\u003e11. Picture rotation\u003c\/li\u003e\n\u003cli\u003e12. Perspective transformation\u003c\/li\u003e\n\u003cli\u003e13. Grayscale processing\u003c\/li\u003e\n\u003cli\u003e14. Binary image\u003c\/li\u003e\n\u003cli\u003e15. Edge green detection\u003c\/li\u003e\n\u003cli\u003e16. Line segment drawing\u003c\/li\u003e\n\u003cli\u003e17. Rectangular circle drawing\u003c\/li\u003e\n\u003cli\u003e18. Text and picture drawing\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch2\u003eVideo\u003c\/h2\u003e\u003cp\u003e\u003ciframe height=\"420\" src=\"https:\/\/www.youtube.com\/embed\/J63Pj1M8olc\" title=\"18DOF Muto S2 Hexapod Robot for Raspberry Pi and NVIDIA Jetson NANO\" width=\"600\"\u003e\u003c\/iframe\u003e\u003c\/p\u003e\u003ch2\u003eManuals \/ Tutorials\u003c\/h2\u003e\u003cp\u003eTutorial link (official): \u003ca href=\"http:\/\/www.yahboom.net\/study\/Muto-S2\" rel=\"noopener noreferrer\" target=\"_blank\"\u003ehttp:\/\/www.yahboom.net\/study\/Muto-S2\u003c\/a\u003e\u003c\/p\u003e\u003ch2 id=\"details\"\u003eDetails\u003c\/h2\u003e\u003cdiv class=\"details-gallery\"\u003e\n\u003cimg alt=\"Yahboom Muto S2 18DOF AI Vision Hexapod Robot with 2DOF camera gimbal and aluminum alloy legs\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/18DOF-Muto-S2-Hexapod-Robot-for-Raspberry-Pi-5-and-NVIDIA.jpg?v=1782069453\"\u003e\u003cp\u003eAn 18DOF bionic hexapod platform combines inverse-kinematics gait control with camera-based AI interaction.\u003c\/p\u003e\n\u003cimg alt=\"Desktop bionic hexapod robot on grass, compatible with Raspberry Pi 5 or Jetson Nano main controller\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/18DOF-Muto-S2-Hexapod-Robot-for-Raspberry-Pi-5-and-NVIDIA_bbfd3396-d806-4bf3-a2e9-00905aa504f8.jpg?v=1782069459\"\u003e\u003cp\u003eBuilt to run on Raspberry Pi 5 or NVIDIA Jetson Nano for robotics learning, vision projects, and gait experiments.\u003c\/p\u003e\n\u003cimg alt=\"Feature overview icons for AI interaction, OpenCV vision, Python programming, WiFi control, FPV and 18DOF joints\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/18DOF-Muto-S2-Hexapod-Robot-for-Raspberry-Pi-5-and-NVIDIA_e89ec342-f929-4fea-84f4-326ee1e97d90.jpg?v=1782069465\"\u003e\u003cp\u003eKey capabilities include OpenCV-based vision functions, Python programming, WiFi control, and FPV video streaming.\u003c\/p\u003e\n\u003cimg alt=\"Main controller comparison chart for Raspberry Pi 5 vs Jetson Nano and Raspberry Pi 5 power supply support note\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/18DOF-Muto-S2-Hexapod-Robot-for-Raspberry-Pi-5-and-NVIDIA_71504fcc-00ce-4633-a807-174f03899f16.jpg?v=1782069472\"\u003e\u003cp\u003eChoose Raspberry Pi 5 or Jetson Nano as the main controller, with a power expansion board option designed for Pi 5 stability.\u003c\/p\u003e\n\u003cimg alt=\"Function list poster covering camera PTZ, deep learning, Jetson Nano course, Raspberry Pi course, and Open Source CV course\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/18DOF-Muto-S2-Hexapod-Robot-for-Raspberry-Pi-5-and-NVIDIA_8b67262e-54a9-47df-9988-5ecfd7d2a24f.jpg?v=1782069478\"\u003e\u003cp\u003eA structured function list and learning path covers PTZ vision, deep learning basics, and step-by-step courses for both controllers.\u003c\/p\u003e\n\u003cimg alt=\"18DOF motion joints layout showing 18 servos across six legs on the Muto S2 hexapod chassis\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/18DOF-Muto-S2-Hexapod-Robot-for-Raspberry-Pi-5-and-NVIDIA_bb9b7d2f-cb0c-4a7f-a8d0-f4645448960a.jpg?v=1782069483\"\u003e\u003cp\u003eEighteen high-torque servos drive three joints per leg for stable, articulated hexapod movement.\u003c\/p\u003e\n\u003cimg alt=\"Inverse kinematics precision control graphic with foot position coordinates for stable hexapod gait planning\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/18DOF-Muto-S2-Hexapod-Robot-for-Raspberry-Pi-5-and-NVIDIA_b236f380-41eb-4432-b8c8-730f6f445679.jpg?v=1782069490\"\u003e\u003cp\u003eBuilt-in inverse kinematics helps coordinate foot trajectories for smoother, more stable simulated gaits.\u003c\/p\u003e\n\u003cimg alt=\"Mobile app real-time video transmission with phone on controller and hexapod in the background on grass\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/18DOF-Muto-S2-Hexapod-Robot-for-Raspberry-Pi-5-and-NVIDIA_883c0ac1-61e1-43d3-b043-575d294522d4.jpg?v=1782069495\"\u003e\u003cp\u003eReal-time FPV lets you drive and monitor the robot from a phone app over a local network connection.\u003c\/p\u003e\n\u003cimg alt=\"Bionic action mimicry banner describing app-based action groups and servo control for custom postures\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/18DOF-Muto-S2-Hexapod-Robot-for-Raspberry-Pi-5-and-NVIDIA_04c6b563-d009-40b1-9bdc-f61d12cc490e.jpg?v=1782069501\"\u003e\u003cp\u003eSave action groups in the app to trigger preset moves or fine-tune individual joints for custom poses.\u003c\/p\u003e\n\u003cimg alt=\"Two-panel demo of hexapod movement and greeting gesture interaction with a person raising a hand\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/18DOF-Muto-S2-Hexapod-Robot-for-Raspberry-Pi-5-and-NVIDIA_622727e4-21be-4e5a-ace5-9b986986b902.jpg?v=1782069506\"\u003e\u003cp\u003eInteractive motions support playful behaviors such as gesture-style greetings and movement routines.\u003c\/p\u003e\n\u003cimg alt=\"Obstacle\/impact reaction demos with hexapod responding to a foot near it and maintaining balance while moving\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/18DOF-Muto-S2-Hexapod-Robot-for-Raspberry-Pi-5-and-NVIDIA_f321da4e-f6c7-4409-b5f1-67e6c0664d36.jpg?v=1782069512\"\u003e\u003cp\u003eReactive movement demos highlight balance adjustments during close-range obstacles and dynamic motion.\u003c\/p\u003e\n\u003cimg alt=\"Two-panel demo of hand interaction and following behavior with hexapod walking near a person’s legs\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/18DOF-Muto-S2-Hexapod-Robot-for-Raspberry-Pi-5-and-NVIDIA_55f50e97-f07a-4286-af17-c75a3a489a07.jpg?v=1782069518\"\u003e\u003cp\u003eVision-based behaviors can support tracking and following for hands-on AI interaction experiments.\u003c\/p\u003e\n\u003cimg alt=\"Movement command labels for hexapod actions: curl up and forward\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/18DOF-Muto-S2-Hexapod-Robot-for-Raspberry-Pi-5-and-NVIDIA.webp?v=1782069523\"\u003e\u003cp\u003eQuick commands enable common action states like curling up and moving forward.\u003c\/p\u003e\n\u003cimg alt=\"Posture and movement adjustment chart showing robot height adjustment and slow\/fast walking speed settings\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/18DOF-Muto-S2-Hexapod-Robot-for-Raspberry-Pi-5-and-NVIDIA_fc4398b7-149c-4b36-8d9b-96b12584e612.jpg?v=1782069529\"\u003e\u003cp\u003eTune body height and walking speed to match different surfaces, demos, and indoor desktop testing.\u003c\/p\u003e\n\u003cimg alt=\"Teaching mode demo with two hexapod robots labeled host and slave mirroring a manually guided leg movement\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/18DOF-Muto-S2-Hexapod-Robot-for-Raspberry-Pi-5-and-NVIDIA_8fccc896-38bf-4fad-9f3e-90d94a6c5f24.jpg?v=1782069535\"\u003e\u003cp\u003eTeaching mode allows one robot’s leg motion to be guided manually and mirrored by a second unit.\u003c\/p\u003e\n\u003cimg alt=\"AI visual interaction panel for color tracking, face tracking (face blurred), and QR code recognition demos\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/18DOF-Muto-S2-Hexapod-Robot-for-Raspberry-Pi-5-and-NVIDIA_3df1933c-3fc2-4d2e-bdc9-0f8216970b79.jpg?v=1782069541\"\u003e\u003cp\u003eCamera-based AI features include color tracking, face tracking, and QR code recognition using OpenCV workflows.\u003c\/p\u003e\n\u003cimg alt=\"Advanced vision demos: visual tracking, object detection, pose estimation, and gesture control on the hexapod\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Yahboom-Muto-S2-18DOF-AI-Vision-Hexapod-Robot.webp?v=1782070141\"\u003e\u003cp\u003eExplore deeper AI demos such as object detection, skeleton-based pose estimation, and gesture control routines.\u003c\/p\u003e\n\u003cimg alt=\"Python programming setup with laptop coding and the hexapod robot connected for development and control\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/18DOF-Muto-S2-Hexapod-Robot-for-Raspberry-Pi-5-and-NVIDIA_4b41b2d6-7cff-4b8c-859d-856fa568fb07.jpg?v=1782069550\"\u003e\u003cp\u003eProgram behaviors in Python and iterate quickly from a laptop for motion control, vision processing, and automation.\u003c\/p\u003e\n\u003cimg alt=\"Yahboom MUTO S2 hexapod robot mobile app screens showing remote control, calibration, performance mode and data monitoring\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/18DOF-Muto-S2-Hexapod-Robot-for-Raspberry-Pi-5-and-NVIDIA_ee4fbc9f-1e3d-4609-9628-c60682b86140.jpg?v=1782069556\"\u003e\u003cp\u003eThe MUTO S2 supports a cross-platform iOS\/Android app for remote control, robot calibration, performance modes, and data monitoring.\u003c\/p\u003e\n\u003cimg alt=\"Yahboom Muto S2 hexapod control options showing PC web control screen and 2.4G\/USB wireless gamepad\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/18DOF-Muto-S2-Hexapod-Robot-for-Raspberry-Pi-5-and-NVIDIA_93a9a426-e73c-42ee-b802-fd2e2d27efee.jpg?v=1782069563\"\u003e\u003cp\u003eMuto S2 supports PC control through a JupyterLab web page and 2.4G\/USB wireless gamepad control for robot movement.\u003c\/p\u003e\n\u003cimg alt=\"Course catalog for Yahboom Muto S2 AI vision hexapod robot, listing assembly, control basics, OpenCV and AI lessons\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/18DOF-Muto-S2-Hexapod-Robot-for-Raspberry-Pi-5-and-NVIDIA_06e51d58-aba2-44e6-968e-7d1ae10f6a1e.jpg?v=1782069569\"\u003e\u003cp\u003eThe Yahboom Muto S2 course catalog outlines guided modules for assembly, motion control, OpenCV vision features, and AI experiments.\u003c\/p\u003e\n\u003cimg alt=\"Laptop display showing Yahboom Muto S2 hexapod robot and downloadable AI vision and deep learning course folders\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/18DOF-Muto-S2-Hexapod-Robot-for-Raspberry-Pi-5-and-NVIDIA_9bba8b40-c1a6-4469-9ccd-c68f592851da.jpg?v=1782069575\"\u003e\u003cp\u003eYahboom Muto S2 includes organized learning resources with AI vision and deep learning course files for step-by-step setup and coding.\u003c\/p\u003e\n\u003cimg alt=\"Exploded view of Yahboom Muto S2 AI vision hexapod robot with OLED screen, 2DOF camera PTZ, and USB hub board\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/18DOF-Muto-S2-Hexapod-Robot-for-Raspberry-Pi-5-and-NVIDIA_0eafbeb2-2746-4258-97a7-e30fd26ff259.jpg?v=1782069581\"\u003e\u003cp\u003eThe Muto S2 hexapod layout includes an OLED screen, 2DOF camera PTZ module, USB hub expansion board, and a large lithium battery mount.\u003c\/p\u003e\n\u003cimg alt=\"Intelligent serial bus servo for Yahboom Muto S2 hexapod, 0–270° range, 35kgf·cm torque, 6–8.4V\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/18DOF-Muto-S2-Hexapod-Robot-for-Raspberry-Pi-5-and-NVIDIA_be760327-25ce-4217-9cea-f97520fcc950.jpg?v=1782069587\"\u003e\u003cp\u003eThe Muto S2 uses an intelligent serial bus servo with a 0–270° joint range and listed specs including 35kgf·cm torque and 6.0–8.4V operation.\u003c\/p\u003e\n\u003cimg alt=\"Yahboom Muto S2 hexapod robot USB HD 1080P camera PTZ module with 2DOF servo and camera parameters table\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/18DOF-Muto-S2-Hexapod-Robot-for-Raspberry-Pi-5-and-NVIDIA_1714ff5c-c901-4028-8ce6-85a3ad6a4cb9.jpg?v=1782069593\"\u003e\u003cp\u003eThe USB HD 1080P camera PTZ uses a 2DOF servo for pan\/tilt control and connects via USB 2.0 with up to 80–120° field of view.\u003c\/p\u003e\n\u003cimg alt=\"Yahboom 7.4V 9900mAh lithium battery pack for Muto S2 hexapod, with DC 4.0×1.7 charging port\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Yahboom-Muto-S2-18DOF-AI-Vision-Hexapod-Robot_6c29017c-dfb3-4829-9db7-7132779208f7.webp?v=1782070213\"\u003e\u003cp\u003eThe 7.4V 9900mAh lithium battery pack uses a DC 4.0×1.7 charging interface and about 15cm leads for easy connection.\u003c\/p\u003e\n\u003cimg alt=\"Yahboom Muto S2 hexapod robot dimension drawing with top and front views and labeled measurements in mm\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/18DOF-Muto-S2-Hexapod-Robot-for-Raspberry-Pi-5-and-NVIDIA_5902e49e-1300-4c89-992b-5211525816ad.jpg?v=1782069602\"\u003e\u003cp\u003eYahboom Muto S2 comes with a dimensioned layout showing top and front views with measurements in millimeters for planning placement and clearance.\u003c\/p\u003e\n\u003cimg alt=\"MUTO S2 robot parameters table comparing Jetson Nano 4GB USB and Raspberry Pi 5 versions, 18DOF, Python.\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/18DOF-Muto-S2-Hexapod-Robot-for-Raspberry-Pi-5-and-NVIDIA_11350351-4b10-4ba8-a83c-b20d6f80885d.jpg?v=1782069607\"\u003e\u003cp\u003eMUTO S2 is available with a Jetson Nano 4GB USB or Raspberry Pi 5 main control board, both supporting Python, 18DOF joints, and about 3.7 hours of battery life.\u003c\/p\u003e\n\u003cimg alt=\"Packing list for Yahboom Muto S2 hexapod kit with robot chassis, camera PTZ, OLED parts, USB hub board, cables and tools\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/18DOF-Muto-S2-Hexapod-Robot-for-Raspberry-Pi-5-and-NVIDIA_a9f30d4a-4d41-4abf-9891-71fb110bc8b6.jpg?v=1782069614\"\u003e\u003cp\u003eThe Muto S2 hexapod kit includes the robot chassis, PTZ camera module, OLED components, USB hub expansion board, battery pack, charger, cables, and basic tools, with Raspberry Pi or Jetson Nano accessories listed as add‑\u003c\/p\u003e\n\u003c\/div\u003e","brand":"Yahboom","offers":[{"title":"Without \/ RPi 5 8G","offer_id":53126133350624,"sku":"6000200604_NoPi-1","price":798.93,"currency_code":"USD","in_stock":true},{"title":"Without \/ Jetson NANO SUB","offer_id":53126133383392,"sku":"6000200604_NoPi-2","price":834.03,"currency_code":"USD","in_stock":true},{"title":"With \/ RPi 5 8G","offer_id":53126133416160,"sku":"6000200604_NoPi-3","price":1185.03,"currency_code":"USD","in_stock":true},{"title":"With \/ Jetson NANO SUB","offer_id":53126133448928,"sku":"6000200604_NoPi-4","price":1091.43,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0643\/3210\/3904\/files\/MotuRobot_Yahboom_001.jpg?v=1782033058"},{"product_id":"yahboom-muto-rs-hexapod-robot","title":"Yahboom Muto RS 18DOF ROS2 Hexapod Robot Kit with AI Large Model, LiDAR \u0026 Depth Camera for Raspberry Pi 5","description":"\u003ch2\u003eOverview\u003c\/h2\u003e\u003cp\u003eThe Yahboom Muto RS is a desktop-level AI large model bionic hexapod robot built on the ROS2 operating system and designed to work with Raspberry Pi (including Raspberry Pi 5 options). It uses an all-aluminum alloy body and an 18 DOF joint structure driven by 18PCS 35KG serial bus servos, and integrates sensors such as a depth camera and LiDAR plus a voice interaction module. With Python3 programming and built-in algorithms (including inverse kinematics), it supports AI visual interaction, SLAM mapping\/navigation, voice interaction, deep learning, and RViz simulation for ROS development and education.\u003c\/p\u003e\u003cp\u003e\u003ciframe height=\"539\" src=\"https:\/\/www.youtube.com\/embed\/KrpEGxKDMRc\" title=\"This AI Hexapod Robot is a Problem-Solving Genius! (Raspberry Pi 5 Only)\" width=\"943\"\u003e\u003c\/iframe\u003e\u003ciframe height=\"420\" src=\"https:\/\/www.youtube.com\/embed\/cMh7-MG4HcI\" title=\"18DOF Muto RS Hexapod Robot ROS2 for Raspberry Pi and NVIDIA Jetson NANO\" width=\"600\"\u003e\u003c\/iframe\u003e\u003c\/p\u003e\u003ch2\u003eKey Features\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003e18 DOF motion joints\u003c\/strong\u003e with aluminum alloy structural parts; three joints per leg; 18 high-performance servos.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003e18PCS 35KG metal serial bus servos\u003c\/strong\u003e for stable, coordinated motion control.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eInverse kinematics algorithm precision control\u003c\/strong\u003e; supports triangular gait walking and adjustable stride frequency.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eMotion adjustability\u003c\/strong\u003e: X\/Y translation, 360° self-rotation, body height adjustment, posture superimposition (high\/medium\/low stance walking), and adjustable walking speed (linear velocity, angular velocity, height, step height, stride length).\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eMultimodal AI large model integration\u003c\/strong\u003e: scalable RAG knowledge base, dual-modal dynamic feedback reasoning architecture, text semantic understanding, and natural speech dialogue.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eDepth camera + visual recognition\u003c\/strong\u003e: depth camera obstacle detection, 3D real-time mapping, depth distance measurement, and 3D point cloud recognition.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eLiDAR-based environmental perception\u003c\/strong\u003e: 360° omnidirectional sensing, mapping and navigation, path planning, dynamic obstacle avoidance, multi-point navigation, and road network planning.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eSupported frameworks\/algorithms\u003c\/strong\u003e (listed): MediaPipe, OpenCV; Gmapping, Cartographer; slam_toolbox; Radar odometer RF2O; DWA path planning.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eAI visual interaction functions\u003c\/strong\u003e (listed): KCF object tracking, color tracking, QR code command control, visual line tracking.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eVoice interactive control\u003c\/strong\u003e: voice commands can control motion state; supports functions such as color tracking, color recognition, and visual line patrol.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eCross-platform control\u003c\/strong\u003e: iOS\/Android remote control app, iOS\/Android mapping navigation app, PC host computer control, and 2.4G\/USB wireless handle control.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eFPV real-time video transmission\u003c\/strong\u003e: connect to a local area network via mobile phone app to view real-time HD video captured by the robot.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eMulti-machine interconnection control\u003c\/strong\u003e: supports multi-robot simultaneous navigation with dynamic obstacle avoidance on the same map, and synchronous control via a single host computer.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eTeaching mode\u003c\/strong\u003e: manual single-leg movement on the host robot can be mirrored by a slave robot performing the same action.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eLearning resources\u003c\/strong\u003e: “200+ course examples” are referenced; accompanying ROS courses and AI large language model application examples are described (tutorial URL removed for compliance).\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003eFor pre-sales selection help or setup support, contact \u003ca href=\"https:\/\/rcdrone.top\/\" rel=\"nofollow\"\u003ehttps:\/\/rcdrone.top\/\u003c\/a\u003e or email \u003ca href=\"mailto:support@rcdrone.top\"\u003esupport@rcdrone.top\u003c\/a\u003e.\u003c\/p\u003e\u003ch2\u003eSpecifications\u003c\/h2\u003e\u003ctable border=\"1\" cellpadding=\"6\" cellspacing=\"0\"\u003e\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003eModel\u003c\/td\u003e\n\u003ctd\u003eMuto RS\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eRobot type\u003c\/td\u003e\n\u003ctd\u003eAI Large Model ROS Hexapod Robot\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eDOF\u003c\/td\u003e\n\u003ctd\u003e18 DOF joint\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eBody material\u003c\/td\u003e\n\u003ctd\u003eAluminum alloy (all-aluminum alloy body referenced)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eServos\u003c\/td\u003e\n\u003ctd\u003e18PCS 35KG serial bus servos (metal)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eOperating system \/ development\u003c\/td\u003e\n\u003ctd\u003eROS2; Python3; supports RViz simulation; docker container development (referenced)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eSensors \/ modules (referenced)\u003c\/td\u003e\n\u003ctd\u003eDepth camera; LiDAR; voice interaction module; high-capacity battery pack\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eDepth camera (listed)\u003c\/td\u003e\n\u003ctd\u003eAstra Pro Plus Depth Camera\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\u003c\/table\u003e\u003ch3\u003eConfiguration Differences (as listed)\u003c\/h3\u003e\u003ctable border=\"1\" cellpadding=\"6\" cellspacing=\"0\"\u003e\n\u003cthead\u003e\u003ctr\u003e\n\u003cth\u003eItem\u003c\/th\u003e\n\u003cth\u003eUltimate kit [A1 Lidar]\u003c\/th\u003e\n\u003cth\u003eUltimate kit [4ROS Lidar]\u003c\/th\u003e\n\u003c\/tr\u003e\u003c\/thead\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003eOptional main controller\u003c\/td\u003e\n\u003ctd\u003eRaspberry Pi 5 8GB\u003c\/td\u003e\n\u003ctd\u003eRaspberry Pi 5 8GB–16GB\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eNote (listed)\u003c\/td\u003e\n\u003ctd colspan=\"2\"\u003eIf choosing a version without board, prepare a Raspberry Pi 5 with at least 8GB RAM.\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eVoice module\u003c\/td\u003e\n\u003ctd colspan=\"2\"\u003eDefault configuration: AI large model voice module\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eDepth camera\u003c\/td\u003e\n\u003ctd colspan=\"2\"\u003eAstra Pro Plus Depth Camera\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eLiDAR\u003c\/td\u003e\n\u003ctd\u003eSLAM A1\u003c\/td\u003e\n\u003ctd\u003eEAI YDLIDAR 4ROS\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\u003ch3\u003eRaspberry Pi 5 (information shown)\u003c\/h3\u003e\u003ctable border=\"1\" cellpadding=\"6\" cellspacing=\"0\"\u003e\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003eRAM (shown)\u003c\/td\u003e\n\u003ctd\u003e8GB RAM\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eComputing power (shown)\u003c\/td\u003e\n\u003ctd\u003eApprox 500GFLOPS\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eGPU (shown)\u003c\/td\u003e\n\u003ctd\u003eBroadcom Videocore VII\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eCPU (shown)\u003c\/td\u003e\n\u003ctd\u003e64 bit 2.4GHz Quad-core\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003ePerformance statement (shown)\u003c\/td\u003e\n\u003ctd\u003e2–3 times the performance of Raspberry Pi 4B (as stated)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\u003c\/table\u003e\u003ch2\u003eApplications\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003eROS2 learning and development for multi-legged (hexapod) locomotion and inverse kinematics.\u003c\/li\u003e\n\u003cli\u003eSLAM mapping\/navigation experiments: single-point and multi-point navigation, road network planning, and dynamic obstacle avoidance.\u003c\/li\u003e\n\u003cli\u003eComputer vision and perception projects using depth camera and AI visual recognition (OpenCV \/ MediaPipe referenced).\u003c\/li\u003e\n\u003cli\u003eVoice interaction and multimodal large-model demonstrations (text\/voice\/visual integration referenced).\u003c\/li\u003e\n\u003cli\u003eMulti-robot synchronization control and multi-robot navigation (multi-machine interconnection control referenced).\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch2\u003eManuals\u003c\/h2\u003e\u003cp\u003eTutorial resources are referenced for this product (manufacturer study page mentioned in source; external URL removed for compliance).\u003c\/p\u003e\u003ch2 id=\"details\"\u003eDetails\u003c\/h2\u003e\u003cdiv class=\"details-gallery\"\u003e\n\u003cimg alt=\"Yahboom Muto RS 18DOF ROS2 hexapod robot on desktop, aluminum body with depth camera and Raspberry Pi mount\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/18DOF-Muto-RS-AI-Large-Model-Hexapod-Robot-ROS2-for.jpg?v=1782067233\"\u003e\u003cp\u003eBuilt on ROS2 for Raspberry Pi, Muto RS brings 18-DOF hexapod mobility together with AI perception for desktop robotics learning.\u003c\/p\u003e\n\u003cimg alt=\"Product overview infographic for Muto RS: multimodal AI, SLAM navigation, LiDAR and depth camera functions\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/18DOF-Muto-RS-AI-Large-Model-Hexapod-Robot-ROS2-for_a810fb64-65f2-4d60-a407-dee1a25bec4c.jpg?v=1782067241\"\u003e\u003cp\u003eFrom SLAM mapping and navigation to vision and voice interaction, the platform is designed as an all-in-one ROS2 development kit.\u003c\/p\u003e\n\u003cimg alt=\"Reasons-to-choose infographic highlighting multimodal AI large model, road network planning, and hardware configuration\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/18DOF-Muto-RS-AI-Large-Model-Hexapod-Robot-ROS2-for_6257d3b6-9d8a-43c5-842f-7a8a40546b9e.jpg?v=1782067246\"\u003e\u003cp\u003eMultimodal AI workflows pair with road-network planning concepts to support research demos and classroom instruction.\u003c\/p\u003e\n\u003cimg alt=\"Configuration comparison chart plus Raspberry Pi 5 performance panel for the Muto RS hexapod robot\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/18DOF-Muto-RS-AI-Large-Model-Hexapod-Robot-ROS2-for_3c0f14ea-dc8b-455a-acbb-a03de85fe9fa.jpg?v=1782067252\"\u003e\u003cp\u003eChoose a configuration that matches your controller and sensor needs, with options centered on Raspberry Pi compute.\u003c\/p\u003e\n\u003cimg alt=\"AI large model deployment panel: LLM text generation, voice interaction module, and visual model recognition examples\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/18DOF-Muto-RS-AI-Large-Model-Hexapod-Robot-ROS2-for_ab6e863f-391a-4947-a8f7-9ea9db31c499.jpg?v=1782067259\"\u003e\u003cp\u003eText, voice, and vision models can be integrated to build embodied intelligence behaviors in Python and ROS2.\u003c\/p\u003e\n\u003cimg alt=\"Multimodal large model applications poster showing motion control, spatial depth Q\u0026amp;A, visual tracking, and navigation\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/18DOF-Muto-RS-AI-Large-Model-Hexapod-Robot-ROS2-for_394407dc-1fe4-4bef-a548-4474c88a3726.jpg?v=1782067265\"\u003e\u003cp\u003eUse high-level commands for movement, perception Q\u0026amp;A, target tracking, and autonomous navigation tasks.\u003c\/p\u003e\n\u003cimg alt=\"Embodied intelligence SLAM navigation panel with environment perception, multipoint navigation, and object search\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/18DOF-Muto-RS-AI-Large-Model-Hexapod-Robot-ROS2-for_418d0fa8-fcae-471f-b6cb-e05460695c95.jpg?v=1782067272\"\u003e\u003cp\u003eSLAM-based perception supports multi-point navigation and target search behaviors across mapped environments.\u003c\/p\u003e\n\u003cimg alt=\"Advanced embodied intelligence applications: intent inference, action imitation, and problem-solving gameplay demos\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/18DOF-Muto-RS-AI-Large-Model-Hexapod-Robot-ROS2-for_8a34af6a-e150-4415-9e5f-1abef12806d7.jpg?v=1782067279\"\u003e\u003cp\u003eHigher-level interaction demos include intent understanding, imitation learning behaviors, and environment exploration.\u003c\/p\u003e\n\u003cimg alt=\"ROS functions introduction for LiDAR and depth camera: mapping, navigation, point cloud, and obstacle recognition\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/18DOF-Muto-RS-AI-Large-Model-Hexapod-Robot-ROS2-for_808900cd-1722-48c9-b5b1-a4728ef77594.jpg?v=1782067285\"\u003e\u003cp\u003eBuilt-in ROS2 packages connect LiDAR and depth camera data for mapping, point clouds, and obstacle awareness.\u003c\/p\u003e\n\u003cimg alt=\"Visual and voice interaction functions: KCF tracking, color tracking, QR control, line following, and multi-robot control\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/18DOF-Muto-RS-AI-Large-Model-Hexapod-Robot-ROS2-for_5076f664-4fb5-4950-9a12-ee1f8c5c7bd0.jpg?v=1782067292\"\u003e\u003cp\u003eVision algorithms and voice commands add hands-free control, with support for multi-robot coordination features.\u003c\/p\u003e\n\u003cimg alt=\"Teaching mode and 18 DOF motion joints diagram showing three joints per leg and coordinated servo movement\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/18DOF-Muto-RS-AI-Large-Model-Hexapod-Robot-ROS2-for_88a145ef-eb97-4240-b06c-38883a682a73.jpg?v=1782067298\"\u003e\u003cp\u003eTeaching mode and a full 18-DOF joint layout make it easier to demonstrate gaits and coordinated leg motion.\u003c\/p\u003e\n\u003cimg alt=\"Inverse kinematics precision control panel with triangular gait options and multi-directional movement diagrams\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/18DOF-Muto-RS-AI-Large-Model-Hexapod-Robot-ROS2-for_674f3721-109f-44f1-99b9-427139872f74.jpg?v=1782067304\"\u003e\u003cp\u003eInverse kinematics and gait planning help translate posture and stride settings into stable hexapod motion.\u003c\/p\u003e\n\u003cimg alt=\"Body height adjustment and posture superimposition: high\/medium\/low stance walking plus speed adjustment panels\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/18DOF-Muto-RS-AI-Large-Model-Hexapod-Robot-ROS2-for_dfe27948-198f-43fd-80cd-31b5e0c7f741.jpg?v=1782067310\"\u003e\u003cp\u003eAdjust body height, stance, and walking speed to match different surfaces, demos, and navigation scenarios.\u003c\/p\u003e\n\u003cimg alt=\"FPV real-time video transmission and bionic action mimicry examples such as twist, squat, spin, and gestures\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/18DOF-Muto-RS-AI-Large-Model-Hexapod-Robot-ROS2-for_21588891-13b7-44b4-9b8b-5740ae6db723.jpg?v=1782067317\"\u003e\u003cp\u003eFPV video and action-mimic behaviors make demos more interactive for labs, clubs, and presentations.\u003c\/p\u003e\n\u003cimg alt=\"Python programming and cross-platform control options: mobile apps, PC host control, and wireless controller\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/18DOF-Muto-RS-AI-Large-Model-Hexapod-Robot-ROS2-for_b66d09b2-82c3-481f-bec6-a29009721b07.jpg?v=1782067324\"\u003e\u003cp\u003eProgram in Python and control the robot from mobile apps, a PC host, or a wireless handle depending on your setup.\u003c\/p\u003e\n\u003cimg alt=\"RViz simulation support and ROS robot operating system panel with ROS2 Humble badge and interface screenshots\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Yahboom-Muto-RS-18DOF-ROS2-Hexapod-Robot.webp?v=1782067857\"\u003e\u003cp\u003eDevelop and test in RViz simulation, then deploy to the ROS2 stack for repeatable robotics experiments.\u003c\/p\u003e\n\u003cimg alt=\"Muto RS course catalog screenshot listing training modules and project topics for ROS2 and AI functions\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/18DOF-Muto-RS-AI-Large-Model-Hexapod-Robot-ROS2-for_877c0483-c73c-40a9-95e7-cc0ac24b4fa1.jpg?v=1782067362\"\u003e\u003cimg alt=\"Open source code and tutorial folders layout covering AI large model basics, development, voice, and fun apps\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/18DOF-Muto-RS-AI-Large-Model-Hexapod-Robot-ROS2-for_1e83160f-2c57-4c37-98e0-9e2a5955540a.jpg?v=1782067368\"\u003e\u003cimg alt=\"Course outline for Yahboom Muto RS ROS2 hexapod robot, listing AI Vision, Mediapipe, navigation, and ROS2 tutorials\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/18DOF-Muto-RS-AI-Large-Model-Hexapod-Robot-ROS2-for_f96a0c09-ec4f-4921-82da-9061d394ed2d.jpg?v=1782067374\"\u003e\u003cp\u003eYahboom Muto RS ROS2 learning materials cover AI vision, Mediapipe, road network navigation, and ROS2 basics video tutorials.\u003c\/p\u003e\n\u003cimg alt=\"Exploded view of Yahboom Muto RS ROS2 hexapod robot showing lidar, depth camera, Raspberry Pi, battery, and bus servos\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/18DOF-Muto-RS-AI-Large-Model-Hexapod-Robot-ROS2-for_ab878379-fc7c-43ed-b462-1ac9d90283fe.jpg?v=1782067380\"\u003e\u003cp\u003eThe Muto RS hexapod uses a modular stack with components like lidar, a depth camera, Raspberry Pi controller, and serial bus servos for coordinated leg motion.\u003c\/p\u003e\n\u003cimg alt=\"Orbbec Astra Pro Plus depth camera and 2D LiDAR SLAM sensor modules for a ROS2 hexapod robot setup\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/18DOF-Muto-RS-AI-Large-Model-Hexapod-Robot-ROS2-for_23944fa8-470c-4a67-b952-f1529a3e786d.jpg?v=1782067386\"\u003e\u003cp\u003eOrbbec Astra Pro Plus depth sensing and a 2D LiDAR SLAM module provide depth and mapping inputs for ROS2 robotics projects.\u003c\/p\u003e\n\u003cimg alt=\"Yahboom Muto RS hexapod kit parts: AI voice module board with speaker and 7.4V 9900mAh lithium battery pack\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/18DOF-Muto-RS-AI-Large-Model-Hexapod-Robot-ROS2-for_f2344a53-abf8-4951-aa89-fbd5c498ea54.jpg?v=1782067393\"\u003e\u003cp\u003eThe kit includes an AI voice module with a wired speaker plus a 7.4V 9900mAh lithium battery pack for onboard power.\u003c\/p\u003e\n\u003cimg alt=\"Dimension diagram in mm for Yahboom Muto RS ROS2 hexapod robot, showing top, front, side and bottom views\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/18DOF-Muto-RS-AI-Large-Model-Hexapod-Robot-ROS2-for_029ed702-0f0e-400d-88c1-38f3ef7227d1.jpg?v=1782067399\"\u003e\u003cp\u003eThe Yahboom Muto RS ROS2 hexapod includes a multi-view mm dimension reference to help plan mounting clearance and placement.\u003c\/p\u003e\n\u003cimg alt=\"Shipping list for Yahboom Muto RS ROS2 hexapod kit, showing chassis, Raspberry Pi 5 option, lidar, camera and accessories\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/18DOF-Muto-RS-AI-Large-Model-Hexapod-Robot-ROS2-for_d4e5593f-6d71-4d92-a857-4504f774f410.jpg?v=1782067405\"\u003e\u003cp\u003eThe package list includes the assembled MUTO robot chassis plus optional add-ons like a Raspberry Pi 5, SLAM Lidar, and depth camera, along with power and audio accessories.\u003c\/p\u003e\n\u003c\/div\u003e","brand":"Yahboom","offers":[{"title":"Without \/ 4ROS Lidar Kit","offer_id":53126156648672,"sku":"3000200944-1","price":1073.88,"currency_code":"USD","in_stock":true},{"title":"Without \/ A1 Lidar Kit","offer_id":53126156681440,"sku":"3000200944-2","price":1056.33,"currency_code":"USD","in_stock":true},{"title":"With Pi5 8GB \/ 4ROS Lidar Kit","offer_id":53126156714208,"sku":"3000200944-3","price":1459.98,"currency_code":"USD","in_stock":true},{"title":"With Pi5 8GB \/ A1 Lidar Kit","offer_id":53126156746976,"sku":"3000200944-4","price":1442.43,"currency_code":"USD","in_stock":true},{"title":"With Pi5 16GB \/ 4ROS Lidar Kit","offer_id":53126156779744,"sku":"3000200944-5","price":1553.58,"currency_code":"USD","in_stock":true},{"title":"With Pi5 16GB \/ A1 Lidar Kit","offer_id":53126156812512,"sku":"3000200944-6","price":1536.03,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0643\/3210\/3904\/files\/Muto_RS_AI_LLM_Hexapod_Robot_ROS2_Yahboom_1.jpg?v=1782033599"},{"product_id":"yahboom-microros-pi5-robot","title":"MicroROS-Pi5 ROS2 Robot Car for Raspberry Pi 5 (Humble) with MS200 TOF LiDAR \u0026 2MP 2DOF PTZ","description":"\u003ch2\u003eOverview\u003c\/h2\u003e\u003cp\u003eMicroROS-Pi5 is a ROS2 \u003cstrong\u003eRobot Car\u003c\/strong\u003e developed for \u003cstrong\u003eRaspberry Pi 5\u003c\/strong\u003e, using \u003cstrong\u003eRaspberry Pi OS + ROS2 Humble\u003c\/strong\u003e and \u003cstrong\u003ePython 3\u003c\/strong\u003e. It integrates a MicroROS robot expansion\/control board with an \u003cstrong\u003eESP32 co-processor\u003c\/strong\u003e, \u003cstrong\u003eMS200 TOF laser LiDAR\u003c\/strong\u003e, a \u003cstrong\u003e2MP\u003c\/strong\u003e camera on a \u003cstrong\u003e2DOF PTZ\u003c\/strong\u003e pan\/tilt, \u003cstrong\u003e4PCS 310 encoder motors\u003c\/strong\u003e, an \u003cstrong\u003eanodized aluminum alloy\u003c\/strong\u003e frame\/body, and a \u003cstrong\u003e7.4V 2000mAh\u003c\/strong\u003e rechargeable battery. OpenCV image processing and MediaPipe machine learning algorithms are used to support robot motion control, AI visual interaction, SLAM mapping\/navigation, RViz simulation, and multi-machine synchronous control.\u003c\/p\u003e\u003ch2\u003eKey Features\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003eRaspberry Pi 5 power solution:\u003c\/strong\u003e provides \u003cstrong\u003e5.1V\/5A\u003c\/strong\u003e power supply for Raspberry Pi 5 (supports PD), designed to ensure sufficient USB interface current and stable operation.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eDual-controller architecture:\u003c\/strong\u003e Raspberry Pi 5 as the ROS controller (upper-level) for visual processing and mapping; ESP32 as the lower-level co-processor for motor drive, servo angle control, IMU acquisition, and LiDAR\/camera drive.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eMS200 TOF LiDAR functions:\u003c\/strong\u003e SLAM mapping (gmapping and cartographer), path planning, single-point and multi-point navigation with obstacle avoidance, iOS\/Android app mapping navigation, multi-machine navigation, and LiDAR-based behaviors (avoid, tracking, guard, patrol).\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eAI visual recognition \u0026amp; interaction:\u003c\/strong\u003e OpenCV + MediaPipe; face\/body\/gesture\/picture-code recognition; QR code recognition; AR vision (12 AR visual effects with chessboard paper); color\/face\/KCF object tracking; line tracking; gesture-controlled movements and autopilot color following.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003e2DOF camera PTZ:\u003c\/strong\u003e USB high frame rate HD camera with metal servos; supports \u003cstrong\u003ehorizontal 180°\u003c\/strong\u003e and \u003cstrong\u003evertical 180°\u003c\/strong\u003e electric rotation for motion tracking and AI visual development.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eChassis\/body design:\u003c\/strong\u003e aluminum alloy body, enclosed cabin design, geometric hollow heat dissipation holes, reserved holes for wiring, EVA anti-collision cotton, and PWM adjustable-speed active cooling (Cool cooler Pi50).\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eMultiple control methods:\u003c\/strong\u003e mobile app control (forward\/backward\/turn left\/turn right with real-time camera view), handle control for multi-robot synchronous control, and keyboard control for multi-robot synchronous control.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eRViz simulation support\u003c\/strong\u003e for development feedback, debugging, testing, and algorithm verification in a virtual environment.\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch2\u003eSpecifications\u003c\/h2\u003e\u003ctable border=\"1\" cellpadding=\"6\" cellspacing=\"0\"\u003e\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003eProduct\u003c\/td\u003e\n\u003ctd\u003eMicroROS-Pi5 ROS2 Robot Car for Raspberry Pi 5\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eOS \/ ROS\u003c\/td\u003e\n\u003ctd\u003eRaspberry Pi OS + ROS2 Humble\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eProgramming Language\u003c\/td\u003e\n\u003ctd\u003ePython 3\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eMain Controller\u003c\/td\u003e\n\u003ctd\u003eRaspberry Pi 5 (optional configuration)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eCo-Processor\u003c\/td\u003e\n\u003ctd\u003eESP32 (MicroROS robot expansion\/control board; ESP32S3 dual-core development board is referenced in product material)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eLiDAR\u003c\/td\u003e\n\u003ctd\u003eMS200 TOF laser LiDAR (ORBBEC MS200 referenced)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eLiDAR Measurement Radius\u003c\/td\u003e\n\u003ctd\u003eUp to 12m\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eLiDAR Blind Zone\u003c\/td\u003e\n\u003ctd\u003e3cm\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eLiDAR Ranging Error\u003c\/td\u003e\n\u003ctd\u003e±2mm within 2 meters\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eLiDAR Sampling Frequency\u003c\/td\u003e\n\u003ctd\u003e4500 times\/s\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eLiDAR Scanning Frequency\u003c\/td\u003e\n\u003ctd\u003e7HZ~15HZ\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eLiDAR Communication Rate\u003c\/td\u003e\n\u003ctd\u003e230400bps\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eCamera\u003c\/td\u003e\n\u003ctd\u003e2MP; USB high frame rate HD camera\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eCamera Pan\/Tilt\u003c\/td\u003e\n\u003ctd\u003e2DOF PTZ; horizontal 180° electric rotation; vertical 180° electric rotation\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eMotors\u003c\/td\u003e\n\u003ctd\u003e4PCS 310 reduction motor with encoder (metal encoder reduction motor referenced)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eMotor Reduction Ratio\u003c\/td\u003e\n\u003ctd\u003e1:20\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eIMU\u003c\/td\u003e\n\u003ctd\u003e6-axis IMU sensor (3-axis accelerometer + 3-axis gyroscope)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eBattery Pack\u003c\/td\u003e\n\u003ctd\u003e7.4V 2000mAh lithium battery pack\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003ePower for Raspberry Pi 5\u003c\/td\u003e\n\u003ctd\u003e5.1V\/5A (supports PD)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eFrame\/Body\u003c\/td\u003e\n\u003ctd\u003eAnodized aluminum alloy; enclosed cabin; EVA anti-collision cotton\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eCooling\u003c\/td\u003e\n\u003ctd\u003eCool active heat sink; PWM adjustable speed fan; aluminum alloy heat sink (Cool cooler Pi50 referenced)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\u003c\/table\u003e\u003ch3\u003eMicroROS Control Board Interfaces (from product material)\u003c\/h3\u003e\u003ctable border=\"1\" cellpadding=\"6\" cellspacing=\"0\"\u003e\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003ePower \/ Charging\u003c\/td\u003e\n\u003ctd\u003eBattery interface; battery charging interface; Type-C power supply interface; 5V OUT; switch\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eCommunication\u003c\/td\u003e\n\u003ctd\u003eWiFi; Bluetooth; Type-C serial port; antenna interface\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003ePeripherals\u003c\/td\u003e\n\u003ctd\u003eLiDAR interface; PWM servo interface; supports 4-channel encoder motors; supports 2-channel PWM servos; buzzer\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eControls \/ Indicators\u003c\/td\u003e\n\u003ctd\u003eReset button; BOOT button; custom buttons; power indicator light and MCU indicator light\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eSensors \/ Expansion\u003c\/td\u003e\n\u003ctd\u003e6 axis IMU chip; custom GPIO * 2\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\u003c\/table\u003e\u003ch3\u003eRaspberry Pi 5 Board Reference (from product material)\u003c\/h3\u003e\u003ctable border=\"1\" cellpadding=\"6\" cellspacing=\"0\"\u003e\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003eItem\u003c\/td\u003e\n\u003ctd\u003eRaspberry Pi 5\u003c\/td\u003e\n\u003ctd\u003eRaspberry Pi 4B\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eCPU\u003c\/td\u003e\n\u003ctd\u003eQuad-core Cortex-A76 Broadcom BCM2712 (2.4GHz Main frequency)\u003c\/td\u003e\n\u003ctd\u003eQuad-core Cortex-A72 Broadcom BCM2711 (1.5GHz Main frequency)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eGPU\u003c\/td\u003e\n\u003ctd\u003e800 MHz VideoCore VII\u003c\/td\u003e\n\u003ctd\u003e600 MHz VideoCore VI\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eMemory\u003c\/td\u003e\n\u003ctd\u003eLPDDR4X-4267 SDRAM\u003c\/td\u003e\n\u003ctd\u003eLPDDR4-3200 SDRAM\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003ePower Input\u003c\/td\u003e\n\u003ctd\u003e5.1V\/5A (Support PD)\u003c\/td\u003e\n\u003ctd\u003e5V\/3A (Not support PD)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eFan Interface\u003c\/td\u003e\n\u003ctd\u003ePWM control and tacho Feedback (4 pins JST)\u003c\/td\u003e\n\u003ctd\u003eNone\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\u003c\/table\u003e\u003ch2\u003eConfiguration Options\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003eWithout Raspberry Pi 5 board:\u003c\/strong\u003e with \u003cstrong\u003e64GB TF card\u003c\/strong\u003e (system file written). Suitable for users who already have a Raspberry Pi 5.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eWith Raspberry Pi 5 board:\u003c\/strong\u003e Raspberry Pi 5 memory options shown as \u003cstrong\u003e2\/4\/8\/16GB optional\u003c\/strong\u003e, with \u003cstrong\u003e64GB TF card\u003c\/strong\u003e (system file written).\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch2\u003eApplications\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003eROS2 learning and robotics education\u003c\/li\u003e\n\u003cli\u003eSLAM mapping, navigation, and path planning development\u003c\/li\u003e\n\u003cli\u003eComputer vision projects with OpenCV and MediaPipe\u003c\/li\u003e\n\u003cli\u003eMulti-robot synchronous control and RViz-based simulation workflows\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch2\u003eManuals\u003c\/h2\u003e\u003cul\u003e\u003cli\u003eTutorial: \u003ca href=\"http:\/\/www.yahboom.net\/study\/MicroROS-Pi5\" rel=\"noopener\" target=\"_blank\"\u003ehttp:\/\/www.yahboom.net\/study\/MicroROS-Pi5\u003c\/a\u003e\n\u003c\/li\u003e\u003c\/ul\u003e\u003cp style=\"text-align: center;\"\u003e\u003ciframe height=\"420\" src=\"https:\/\/www.youtube.com\/embed\/x_MQeoQp2xI\" title=\"Raspberry Pi 5 ROS2 Robot Car(ROS2-HUMBLE + Python3)\" width=\"600\"\u003e\u003c\/iframe\u003e\u003c\/p\u003e\u003cp\u003eFor configuration selection, pre-sales questions, and technical support, contact \u003ca href=\"https:\/\/rcdrone.top\/\" rel=\"noopener\" target=\"_blank\"\u003ehttps:\/\/rcdrone.top\/\u003c\/a\u003e or email \u003ca href=\"mailto:support@rcdrone.top\"\u003esupport@rcdrone.top\u003c\/a\u003e.\u003c\/p\u003e\u003ch2 id=\"details\"\u003eDetails\u003c\/h2\u003e\u003cdiv class=\"details-gallery\"\u003e\n\u003cimg alt=\"MicroROS-Pi5 ROS2 Robot car for Raspberry Pi 5 with camera PTZ and LiDAR, aluminum chassis\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/MicroROS-Pi5-ROS2-Robot-Car-for-Raspberry-Pi-5-ROS2-HUMBLE.jpg?v=1782064934\"\u003e\u003cp\u003eBuild ROS2 projects on Raspberry Pi 5 with a compact robot car designed for vision, mapping, and navigation.\u003c\/p\u003e\n\u003cimg alt=\"MicroROS-Pi5 overview highlighting ROS2 Humble, OpenCV\/MediaPipe vision, and SLAM-ready hardware\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/MicroROS-Pi5-ROS2-Robot-Car-for-Raspberry-Pi-5-ROS2-HUMBLE_c4b44ac3-86a5-484b-b873-159e9f9075af.jpg?v=1782064940\"\u003e\u003cp\u003eA complete development platform that combines ROS2 Humble, Python, and AI vision workflows for real robot behavior.\u003c\/p\u003e\n\u003cimg alt=\"Feature overview: Raspberry Pi 5 controller plus LiDAR perception functions and AI visual recognition modules\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/MicroROS-Pi5-ROS2-Robot-Car-for-Raspberry-Pi-5-ROS2-HUMBLE_0dccc4f0-c9b5-4bc0-85a9-123f70cd75aa.jpg?v=1782064946\"\u003e\u003cp\u003eCore capabilities include onboard computing, LiDAR perception for obstacle-aware navigation, and AI visual recognition.\u003c\/p\u003e\n\u003cimg alt=\"Training and support overview with English-subtitled courses, hardware configuration, and after-sales support\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/MicroROS-Pi5-ROS2-Robot.webp?v=1782066225\"\u003e\u003cp\u003eGet productive faster with structured lessons, practical demos, and technical support for setup and troubleshooting.\u003c\/p\u003e\n\u003cimg alt=\"Raspberry Pi 5 comparison graphic highlighting improved performance and 5.1V 5A power support\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/MicroROS-Pi5-ROS2-Robot-Car-for-Raspberry-Pi-5-ROS2-HUMBLE_7e182895-4f9d-4db7-ab4a-cc442ff015be.jpg?v=1782064983\"\u003e\u003cp\u003eDesigned around Raspberry Pi 5 power needs to keep USB current stable during camera and sensor workloads.\u003c\/p\u003e\n\u003cimg alt=\"Configuration options: kit without Raspberry Pi 5 board vs full set with Raspberry Pi 5 included\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/MicroROS-Pi5-ROS2-Robot-Car-for-Raspberry-Pi-5-ROS2-HUMBLE_974c785b-3f4d-46b5-b859-0c46df2d9f90.jpg?v=1782064989\"\u003e\u003cp\u003eChoose the kit that fits your lab—reuse an existing Pi 5 or select a ready-to-run bundle.\u003c\/p\u003e\n\u003cimg alt=\"2DOF pan\/tilt camera range and AI vision features like QR, AR effects, posture and face detection\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/MicroROS-Pi5-ROS2-Robot-Car-for-Raspberry-Pi-5-ROS2-HUMBLE_eca09788-4a0e-4078-b51a-f93b8fcfbf38.jpg?v=1782064994\"\u003e\u003cp\u003eA 2DOF pan\/tilt camera mount enables tracking experiments and flexible viewpoints for OpenCV and MediaPipe tasks.\u003c\/p\u003e\n\u003cimg alt=\"AI visual interaction examples: color\/face\/KCF tracking, autopilot color following, gesture control driving\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/MicroROS-Pi5-ROS2-Robot_a615fe7c-48c1-4bbc-b4f8-427c48df56aa.webp?v=1782066238\"\u003e\u003cp\u003eInteractive demos cover object tracking, color-follow autopilot, and gesture-based motion control.\u003c\/p\u003e\n\u003cimg alt=\"LiDAR functions panel: mapping, path planning, app mapping\/navigation, multi-machine navigation, patrol modes\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/MicroROS-Pi5-ROS2-Robot-Car-for-Raspberry-Pi-5-ROS2-HUMBLE_1cef5108-af9e-4a01-a318-a287e075c670.jpg?v=1782065014\"\u003e\u003cp\u003eUse TOF LiDAR for SLAM mapping, path planning, obstacle avoidance, and coordinated multi-robot navigation.\u003c\/p\u003e\n\u003cimg alt=\"Remote control methods: mobile app with live view, multi-robot handle control, and keyboard control\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/MicroROS-Pi5-ROS2-Robot-Car-for-Raspberry-Pi-5-ROS2-HUMBLE_488ecda9-27af-481d-8de4-6059c13ca3ab.jpg?v=1782065020\"\u003e\u003cp\u003eControl options range from phone-based driving with live video to synchronized multi-robot control by handle or keyboard.\u003c\/p\u003e\n\u003cimg alt=\"ROS2 Humble development and RViz simulation support for testing navigation and algorithms\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/MicroROS-Pi5-ROS2-Robot-Car-for-Raspberry-Pi-5-ROS2-HUMBLE_e7faa5ac-c5b5-4200-80ac-37e803058eb2.jpg?v=1782065026\"\u003e\u003cp\u003eDevelop on ROS2 Humble and validate behaviors in RViz before moving from simulation to real-world runs.\u003c\/p\u003e\n\u003cimg alt=\"Dual-controller architecture diagram: Raspberry Pi 5 upper-level ROS controller plus ESP32 lower-level co-processor\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/MicroROS-Pi5-ROS2-Robot-Car-for-Raspberry-Pi-5-ROS2-HUMBLE_2aff16b8-071f-4950-a080-3808558d7168.jpg?v=1782065032\"\u003e\u003cp\u003eA dual-controller design offloads real-time motor and sensor tasks to ESP32 while Raspberry Pi 5 handles ROS and vision.\u003c\/p\u003e\n\u003cimg alt=\"Exploded structure labeling: TOF LiDAR, 2DOF camera PTZ, MicroROS control board, battery, motors, cooling\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/MicroROS-Pi5-ROS2-Robot-Car-for-Raspberry-Pi-5-ROS2-HUMBLE_066ea881-325b-4169-b1fe-8fdceef489bd.jpg?v=1782065038\"\u003e\u003cp\u003eAn exploded layout makes it easy to identify key modules for maintenance, upgrades, and wiring.\u003c\/p\u003e\n\u003cimg alt=\"Chassis feature grid: heat dissipation, anti-collision cotton, reserved holes, IMU, battery, cooling, encoder motors\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/MicroROS-Pi5-ROS2-Robot-Car-for-Raspberry-Pi-5-ROS2-HUMBLE_507b2ffc-a0ce-4275-b5f8-7d8119f5947e.jpg?v=1782065044\"\u003e\u003cp\u003eMechanical details focus on durability, airflow, wiring access, and sensor-ready integration for ongoing expansion.\u003c\/p\u003e\n\u003cimg alt=\"Core hardware callouts: MS200 TOF LiDAR, 2DOF camera pan\/tilt, MicroROS control board and connectors\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/MicroROS-Pi5-ROS2-Robot_db313cdd-6a9d-427c-b43d-fccd3e77fc36.webp?v=1782066258\"\u003e\u003cp\u003eCore components are organized for quick access—LiDAR, pan\/tilt camera, and the MicroROS expansion\/control board.\u003c\/p\u003e\n\u003cimg alt=\"MicroROS-Pi5 course outline screenshot with tutorial link and topic list for ROS2 and robot functions\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/MicroROS-Pi5-ROS2-Robot-Car-for-Raspberry-Pi-5-ROS2-HUMBLE_5a358820-d4a7-49ef-abf4-c258dd18062d.jpg?v=1782065081\"\u003e\u003cp\u003eA step-by-step curriculum covers setup, robot control, perception, mapping, and common ROS2 workflows.\u003c\/p\u003e\n\u003cimg alt=\"Detailed course syllabus list covering robot vision, LiDAR mapping, ROS2 nodes, and ESP32 microcontroller topics\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/MicroROS-Pi5-ROS2-Robot-Car-for-Raspberry-Pi-5-ROS2-HUMBLE_fe9c4bbe-7e4b-4453-bb92-6652dda34b2f.jpg?v=1782065087\"\u003e\u003cp\u003eDeeper lessons include perception pipelines, navigation stacks, and microcontroller-side development tasks.\u003c\/p\u003e\n\u003cimg alt=\"Open-source code folder structure for robot control, ROS + OpenCV courses, visual interaction, and LiDAR functions\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/MicroROS-Pi5-ROS2-Robot-Car-for-Raspberry-Pi-5-ROS2-HUMBLE_ea2c1401-f946-43bb-9099-a55d5aa3c7a6.jpg?v=1782065093\"\u003e\u003cp\u003eOpen-source project structure helps you locate demos quickly and adapt code into your own ROS2 packages.\u003c\/p\u003e\n\u003cimg alt=\"MicroROS-Pi5 ROS2 robot support graphic showing tutorial course files, English-subtitled videos, and 3D model file info\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/MicroROS-Pi5-ROS2-Robot-Car-for-Raspberry-Pi-5-ROS2-HUMBLE_fdb5ca96-1ecb-40cd-a431-03602971585e.jpg?v=1782065099\"\u003e\u003cp\u003eMicroROS-Pi5 ROS2 robot resources include organized training materials with English subtitles, technical support, and downloadable 3D model files.\u003c\/p\u003e\n\u003cimg alt=\"MicroROS Robot-Pi5 ROS2 robot size diagram with front and side views and key dimensions in mm\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/MicroROS-Pi5-ROS2-Robot-Car-for-Raspberry-Pi-5-ROS2-HUMBLE_a5152d3f-a0b6-4dd0-baa7-d93738741b80.jpg?v=1782065105\"\u003e\u003cp\u003eMicroROS Robot-Pi5 dimensions and a quick spec overview help you plan chassis space and ROS2 (Humble) setup around the Raspberry Pi 5 controller.\u003c\/p\u003e\n\u003cimg alt=\"Specification table for MS200 LiDAR (360° scan, 0.03–12m range) and 2DOF camera PTZ module parameters\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/MicroROS-Pi5-ROS2-Robot-Car-for-Raspberry-Pi-5-ROS2-HUMBLE_71a57b91-b7c0-4cf9-9a83-ffe58a1d8511.jpg?v=1782065111\"\u003e\u003cp\u003eThe MS200 LiDAR and 2DOF camera PTZ module list key setup specs like 360° scan angle, 0.03–12 m range, and operating voltages.\u003c\/p\u003e\n\u003cimg alt=\"Shipping list for MicroROS-Pi5 ROS2 robot car kit with chassis, motors, LiDAR, camera PTZ, controller and cables\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/MicroROS-Pi5-ROS2-Robot-Car-for-Raspberry-Pi-5-ROS2-HUMBLE_8cf3616c-ae7b-4432-bcef-f37e28237147.jpg?v=1782065117\"\u003e\u003cp\u003eThe MicroROS-Pi5 ROS2 robot car kit includes an assembled chassis and wheels, motor set, MS200 LiDAR, 200° camera PTZ, control board, covers, controller, and key accessories like cables and a charger.\u003c\/p\u003e\n\u003c\/div\u003e","brand":"Yahboom","offers":[{"title":"Without Raspberry Pi","offer_id":53126174376160,"sku":"6000200579-1","price":354.33,"currency_code":"USD","in_stock":true},{"title":"With Pi5-2GB","offer_id":53126174408928,"sku":"6000200579-2","price":529.82,"currency_code":"USD","in_stock":true},{"title":"With Pi5-4GB","offer_id":53126174441696,"sku":"6000200579-3","price":646.82,"currency_code":"USD","in_stock":true},{"title":"With Pi5-8GB","offer_id":53126174474464,"sku":"6000200579-4","price":740.42,"currency_code":"USD","in_stock":true},{"title":"With Pi5-16GB","offer_id":53126174507232,"sku":"6000200579-5","price":834.02,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0643\/3210\/3904\/files\/MicroROS_Car_Yahboom_02_9af374bb-b904-405f-82ea-8735e878c620.jpg?v=1782034012"},{"product_id":"yahboom-rider-pi-robot","title":"Rider-Pi Raspberry Pi CM5 Two Wheel-Legged Robot Kit with 2.0-inch IPS Display, 5MP Camera, IMU","description":"\u003ch2\u003eOverview\u003c\/h2\u003e\u003cp\u003eRider-Pi is a desktop two wheel-legged robot designed for developers, educators, and robot enthusiasts. It is based on the Raspberry Pi CM5 core module and uses Python programming. With a built-in inertial measurement unit (IMU) and a carbon fiber connecting rod structure, the robot can adjust joint angles in real time to adapt to different terrain obstacles. A 2.0-inch IPS screen on the front can display video images and 35 dynamic expressions in real time.\u003c\/p\u003e\u003ch2\u003eKey Features\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003eRaspberry Pi CM5 core module + Python development:\u003c\/strong\u003e Designed for wider development support.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eWheel-legged linkage structure:\u003c\/strong\u003e Combines wheeled mobility with legged obstacle-crossing capability; supports forward\/backward movement and 360° rotation.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eIMU posture stabilization:\u003c\/strong\u003e Adjusts robot posture in real time to adapt to various terrain obstacles.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003e2.0-inch IPS color display:\u003c\/strong\u003e Supports video display, 35 dynamic expressions, and custom dynamic expressions.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eVision + interaction hardware:\u003c\/strong\u003e Integrated 5MP HD camera, digital microphone (also described as dual MEMS digital microphones), speaker(s), and four programmable buttons.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eAI visual recognition \u0026amp; interaction examples:\u003c\/strong\u003e Face detection, face tracking, emotion recognition (CM5 version), 3D object recognition, target detection, object detection, license plate recognition, color tracking\/following, gesture following\/control, QR code motion control, human skeleton recognition, palm control, face mask, and brush (finger drawing on the screen).\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003ePre-installed GUI program:\u003c\/strong\u003e Includes 30+ functions to quickly experience core features.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eRemote control methods:\u003c\/strong\u003e Bluetooth and WiFi app (Android\/iOS) are provided for free.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eChatGPT support (extra charge):\u003c\/strong\u003e Enables voice Q\u0026amp;A, voice control, text-to-picture, and image analysis description functions.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eActuation components shown:\u003c\/strong\u003e Micro integrated wheel hub motor; all-metal magnetic encoding bus serial port servo.\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch2\u003eSpecifications\u003c\/h2\u003e\u003ctable\u003e\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eProduct\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eRider-Pi Two Wheel-Legged Robot\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eMain control\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eRaspberry Pi CM5 core module (also stated to support Raspberry Pi CM4 and CM5)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eProgramming\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003ePython\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eDisplay\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e2.0-inch IPS color display\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eExpressions\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e35 dynamic expressions; supports custom dynamic expressions\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eCamera\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eIntegrated 5MP HD camera\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eAudio\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eDigital microphone (also described as dual MEMS digital microphones); speaker(s)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eButtons\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eFour programmable buttons\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eSensor\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eBuilt-in inertial measurement unit (IMU)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eRemote control\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eBluetooth; WiFi app (Android\/iOS)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eCM4 vs CM5 (as provided)\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e\n      CM4: BCM2711 SoC; 4-core 64-bit Arm Cortex-A72; 1.5GHz; GPU: VideoCore VI; Memory: 2GB\u003cbr\u003e\n      CM5: BCM2712 SoC; 4-core 64-bit Arm Cortex-A76; 2.4GHz; GPU: VideoCore VI; Memory: 2GB\n    \u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\u003c\/table\u003e\u003ch2\u003eApplications\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003ePython robotics learning and classroom demonstrations\u003c\/li\u003e\n\u003cli\u003eAI vision experiments: object detection, face detection\/tracking, 3D object recognition, license plate recognition, color tracking\/following\u003c\/li\u003e\n\u003cli\u003eHuman interaction demos: gesture following\/control, palm control, human skeleton recognition, voice interaction (including optional ChatGPT features)\u003c\/li\u003e\n\u003cli\u003eQR code motion control demonstrations\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch2\u003eTutorials\u003c\/h2\u003e\u003cp\u003eThe following video is provided for function demonstrations and learning:\u003c\/p\u003e\u003ciframe height=\"695\" src=\"https:\/\/www.youtube.com\/embed\/DM-XGH3n2EI\" title=\"Your Robot Can Now Follow You \u0026amp; Understand Your Mood Rider Pi CM5 Demo\" width=\"1236\"\u003e\u003c\/iframe\u003e\u003ch2\u003eSupport\u003c\/h2\u003e\u003cp\u003eFor pre-sales questions and after-sales support, contact \u003ca href=\"https:\/\/rcdrone.top\/\" rel=\"noopener\" target=\"_blank\"\u003ehttps:\/\/rcdrone.top\/\u003c\/a\u003e or email \u003ca href=\"mailto:support@rcdrone.top\"\u003esupport@rcdrone.top\u003c\/a\u003e.\u003c\/p\u003e\u003ch2 id=\"details\"\u003eDetails\u003c\/h2\u003e\u003cdiv class=\"details-gallery\"\u003e\n\u003cimg alt=\"Rider-Pi Raspberry Pi CM5 two wheel-legged robot with front 2.0-inch IPS display and 5MP camera\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Rider-Pi-Two-Wheel-legged-RobotRaspberry-Pi-CM5-core.jpg?v=1782059824\"\u003e\u003cp\u003eRider-Pi pairs a Raspberry Pi CM5 core module with a wheel-legged chassis for agile desktop robotics and Python development.\u003c\/p\u003e\n\u003cimg alt=\"Rider-Pi robot kit with retail box, Raspberry Pi CM5-based two wheel-legged desktop robot and screen face display\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Rider-Pi-Two-Wheel-legged-RobotRaspberry-Pi-CM5-core_8e628069-1103-41ba-a8b4-882c4f83da28.jpg?v=1782059830\"\u003e\u003cp\u003eEverything is built around the CM5 platform, with a compact form factor designed for learning, prototyping, and demos.\u003c\/p\u003e\n\u003cimg alt=\"Feature overview collage highlighting AI functions, wheel hub motor, bus servo, linkage structure, and tutorials\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Rider-Pi-Two-Wheel-legged-RobotRaspberry-Pi-CM5-core_40ebf089-c8c8-43e8-bb4e-076c27f87b1d.jpg?v=1782059837\"\u003e\u003cp\u003eA wide set of demos and hardware highlights supports quick evaluation before deeper customization.\u003c\/p\u003e\n\u003cimg alt=\"Raspberry Pi CM5 module comparison and upgraded controller overview for Rider-Pi robot platform\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Rider-Pi-Two-Wheel-legged-RobotRaspberry-Pi-CM5-core_dd6869a4-cb99-47e2-b1bd-44ebffc9e920.jpg?v=1782059844\"\u003e\u003cp\u003eCM5 compute power, onboard camera\/audio, and programmable buttons combine for vision projects and interactive control.\u003c\/p\u003e\n\u003cimg alt=\"Wheel-legged linkage structure and built-in IMU stabilization for flexible movement on slopes and small steps\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Rider-Pi-Two-Wheel-legged-RobotRaspberry-Pi-CM5-core_b083cc7f-810b-43cc-85af-1042fc38bfcb.jpg?v=1782059851\"\u003e\u003cp\u003eReal-time posture sensing helps maintain balance while rolling, turning, and handling small obstacles.\u003c\/p\u003e\n\u003cimg alt=\"Embedded AI large-model capabilities with microphone, speaker, and camera for voice and vision interaction\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Rider-Pi-Two-Wheel-legged-RobotRaspberry-Pi-CM5-core_2e9d25f8-f174-4ea8-afc7-9ea3420e8dad.jpg?v=1782059859\"\u003e\u003cp\u003eMultimodal interaction enables voice Q\u0026amp;A, voice control, and camera-based understanding workflows.\u003c\/p\u003e\n\u003cimg alt=\"Large-model application examples including voice Q\u0026amp;A, voice control, scene understanding, and embodied intelligence\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Rider-Pi-Two-Wheel-legged-RobotRaspberry-Pi-CM5-core_3437a0cf-9f95-4ef4-9763-e9df3ef52221.jpg?v=1782059867\"\u003e\u003cp\u003eUse app-style examples to explore conversational commands and scene prompts in a robotics context.\u003c\/p\u003e\n\u003cimg alt=\"AI visual recognition functions list including 3D object recognition, emotion recognition, face detection, and plate OCR\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Rider-Pi-Two-Wheel-legged-RobotRaspberry-Pi-CM5-core_694590ac-1337-46d2-ae9c-6740d607f876.jpg?v=1782059874\"\u003e\u003cp\u003eComputer-vision demos cover detection, tracking, and recognition tasks suitable for classroom and lab experiments.\u003c\/p\u003e\n\u003cimg alt=\"AI visual interaction examples: palm control, human skeleton recognition, and face tracking with Rider-Pi robot\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Rider-Pi-Two-Wheel-legged-RobotRaspberry-Pi-CM5-core_f33c60f6-d2d8-4e38-9d9f-681e8bd979d7.jpg?v=1782059880\"\u003e\u003cp\u003eHands-free interaction options include gesture-style control and tracking behaviors for responsive demos.\u003c\/p\u003e\n\u003cimg alt=\"Color tracking and following, QR code motion control, and face mask detection demo screens for Rider-Pi\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Rider-Pi-Two-Wheel-legged-RobotRaspberry-Pi-CM5-core_5f5508cd-1770-4b7e-9121-64356695c659.jpg?v=1782059888\"\u003e\u003cp\u003eBuilt-in examples help validate camera workflows such as color following and QR-driven motion commands.\u003c\/p\u003e\n\u003cimg alt=\"Hand gesture following and gesture control demos with programmable actions for Rider-Pi robot\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Rider-Pi-Two-Wheel-legged-RobotRaspberry-Pi-CM5-core_15cf9f53-2102-49c6-9fe9-eb0b6a2852a6.jpg?v=1782059895\"\u003e\u003cp\u003eGesture recognition can map hand signals to movement patterns for intuitive control without a controller.\u003c\/p\u003e\n\u003cimg alt=\"Action group remote control app UI with Zigzag, Rocking, Shifting, Rotate, and Altitude movements\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Rider-Pi-Two-Wheel-legged-RobotRaspberry-Pi-CM5-core_6cc74fcc-77e4-439a-86f2-4ed1c319cf3d.jpg?v=1782059901\"\u003e\u003cp\u003ePreset action groups make it easy to trigger polished movement routines from the mobile app.\u003c\/p\u003e\n\u003cimg alt=\"Pre-installed GUI program menu showing 30+ built-in functions and examples on Rider-Pi screen interface\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Rider-Pi-Two-Wheel-legged-RobotRaspberry-Pi-CM5-core_71e869ad-a21d-4064-a29c-a8711b2ca192.jpg?v=1782059909\"\u003e\u003cp\u003eA pre-installed GUI provides quick access to core demos, settings, and common vision\/interaction modes.\u003c\/p\u003e\n\u003cimg alt=\"Practical video tutorials library for Rider-Pi programming, experiments, and function demonstrations\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Rider-Pi-Two-Wheel-legged-RobotRaspberry-Pi-CM5-core_31584123-cef8-4171-95d2-c223a4a98644.jpg?v=1782059916\"\u003e\u003cp\u003eStep-by-step tutorials support setup, programming workflows, and repeatable experiments.\u003c\/p\u003e\n\u003cimg alt=\"Dynamic expressions on 2.0-inch IPS screen with 35 animated faces and customizable expression options\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Rider-Pi-Two-Wheel-legged-RobotRaspberry-Pi-CM5-core_b2dbf52a-7e4b-4067-8584-4e4ed9e22de2.jpg?v=1782059923\"\u003e\u003cp\u003eThe 2.0-inch IPS display supports real-time video and a library of expressive animated faces.\u003c\/p\u003e\n\u003cimg alt=\"Basic function grid: audio\/video recording, RGB light control, posture angle reading, battery status, and motion control\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Rider-Pi-Two-Wheel-legged-RobotRaspberry-Pi-CM5-core_3b9e4b13-c416-47f3-aa55-bc962be2f28b.jpg?v=1782059930\"\u003e\u003cp\u003eCore utilities include recording, lighting effects, posture readouts, battery monitoring, and motion controls.\u003c\/p\u003e\n\u003cimg alt=\"Cross-platform remote control via iOS\/Android app using WiFi and Bluetooth with live camera view controls\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Rider-Pi-Two-Wheel-legged-RobotRaspberry-Pi-CM5-core_03c6e8e3-8633-43b7-bdbe-1e60ca86b180.jpg?v=1782059937\"\u003e\u003cp\u003eControl Rider-Pi from iOS or Android over WiFi or Bluetooth, with app controls designed for quick testing.\u003c\/p\u003e\n\u003cimg alt=\"Rider-Pi course outline and study link covering programming, vision recognition topics, and project modules\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Rider-Pi-Two-Wheel-legged-RobotRaspberry-Pi-CM5-core_f29e536e-1bc0-481a-89c9-8a5a861e2ad6.jpg?v=1782059944\"\u003e\u003cp\u003eA structured course outline helps guide learning from setup to advanced vision and interaction projects.\u003c\/p\u003e\n\u003cimg alt=\"Course folder list for Rider-Pi CM5 robot, including Quick Start, RPi basics, car control, AI vision, and voice modules\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Rider-Pi-Two-Wheel-legged-RobotRaspberry-Pi-CM5-core_a17f2c39-29fb-4437-99c1-5491f635166f.jpg?v=1782059950\"\u003e\u003cp\u003eRider-Pi includes organized learning folders for Quick Start, Raspberry Pi basics, car control and motion control, AI visual recognition and interaction, and voice interaction.\u003c\/p\u003e\n\u003cimg alt=\"Rider-Pi CM5 robot learning resources poster listing AI interaction courses, English subtitles, and open-source Python code\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Rider-Pi-Two-Wheel-legged-RobotRaspberry-Pi-CM5-core_e3e80ef2-baf2-4b7e-836e-165cd4a55ef9.jpg?v=1782059956\"\u003e\u003cp\u003eRider-Pi includes a structured set of AI interaction lessons, English-subtitled operation videos, and open-source Python code for development.\u003c\/p\u003e\n\u003cimg alt=\"Graphic for Rider-Pi two wheel-legged robot offering a free 3D model file and professional after-sales technical support.\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Rider-Pi-Two-Wheel-legged-RobotRaspberry-Pi-CM5-core_2e018e9e-1a31-4d2c-a883-e9620ec04545.jpg?v=1782059962\"\u003e\u003cp\u003eThe Rider-Pi robot is backed by a provided 3D model file for DIY modeling and professional after-sales technical service.\u003c\/p\u003e\n\u003cimg alt=\"Rider-Pi two wheel-legged robot with linkage structure, twin wheels and front display module on a black base\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Rider-Pi-Two-Wheel-legged-RobotRaspberry-Pi-CM5-core_4b31295e-0c51-4312-a84d-23296cbfb33d.jpg?v=1782059969\"\u003e\u003cp\u003eRider-Pi uses a two wheel-legged linkage structure that combines wheeled mobility with a legged-style obstacle-crossing motion.\u003c\/p\u003e\n\u003cimg alt=\"Rider-Pi two wheel-legged robot with ABS body, carbon fiber parts, aviation aluminum rear cover, and silicone feet\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Rider-Pi-Two-Wheel-legged-RobotRaspberry-Pi-CM5-core_1fc99ab3-2669-4830-a849-c44aa0059b62.jpg?v=1782059974\"\u003e\u003cp\u003eRider-Pi uses an ABS body with carbon fiber accents, an aviation aluminum rear cover, and wear-resistant silicone contact points for durability.\u003c\/p\u003e\n\u003cimg alt=\"Exploded view of Rider-Pi robot hub motor showing brushless motor housing, encoder PCB, and mounting parts\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Rider-Pi-Two-Wheel-legged-RobotRaspberry-Pi-CM5-core_be6dd50c-0e83-42c6-a7a1-eb2a6af78d6c.jpg?v=1782059980\"\u003e\u003cp\u003eThe hub motor integrates a brushless motor, control circuit, and magnetic encoder for 360° control with peak torque up to 2 kg·cm.\u003c\/p\u003e\n\u003cimg alt=\"Exploded view of an all-metal servo with reduction gears, motor, sensor board, and output shaft components\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Rider-Pi-Two-Wheel-legged-RobotRaspberry-Pi-CM5-core_bf7ed211-aa58-415a-87ca-299661c45dc1.jpg?v=1782059986\"\u003e\u003cp\u003eThe rider robot uses an all-metal servo design with reduction gears, built-in sensors, and integrated control circuitry for precise joint movement.\u003c\/p\u003e\n\u003cimg alt=\"Robot driver expansion board with labeled servo\/motor, serial port, power, charging, fan and RGB light interfaces\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Rider-Pi-Two-Wheel-legged-RobotRaspberry-Pi-CM5-core_0ad36ed4-7de0-4916-b847-d629ccc8a024.jpg?v=1782059992\"\u003e\u003cp\u003eThe robot driver expansion board provides dedicated connectors for servo\/motor control, serial communication, power input, charging, a 5V fan, and RGB lighting.\u003c\/p\u003e\n\u003cimg alt='Exploded view of Rider-Pi Raspberry Pi CM5 two-wheel legged robot with 5MP camera, 2.0\" IPS display, motors and battery.' loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Rider-Pi-Two-Wheel-legged-RobotRaspberry-Pi-CM5-core_879fe6c8-cb92-4434-84b4-47076952374f.jpg?v=1782060028\"\u003e\u003cp\u003eRider-Pi’s modular structure combines a Raspberry Pi CM5 module, 5MP camera, 2.0-inch IPS display, robot driver board, servos, hub motors, and an 18500 battery for assembly.\u003c\/p\u003e\n\u003cimg alt=\"Rider-Pi wheel-legged robot dimensions and key specs, with Raspberry Pi CM5+ESP32 control board and 2.0in IPS display\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Rider-Pi-Two-Wheel-legged-RobotRaspberry-Pi-CM5-core_bbdd0275-6585-4eea-8ae5-c712c280f3b0.jpg?v=1782060034\"\u003e\u003cp\u003eRider-Pi uses a Raspberry Pi CM5 (2GB RAM) with ESP32 control, a 2.0-inch IPS 320×240 display, dual MEMS mic, 5MP OV5647 camera, and two 8.4V brushless hub motors.\u003c\/p\u003e\n\u003cimg alt=\"Spec sheet for Rider-Pi CM5 two wheel-legged robot listing materials, 4.5KG·CM servo torque, 572g weight and dimensions.\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Rider-Pi-Two-Wheel-legged-RobotRaspberry-Pi-CM5-core_701f9e1a-c28a-446b-8897-66ac7cd9e632.jpg?v=1782060041\"\u003e\u003cp\u003eThe Rider-Pi CM5 robot uses a coreless servo motor (4.5KG·CM torque) and lists LAN TCP\/BT communication, 572g weight, and 115×135×125mm dimensions (squatting).\u003c\/p\u003e\n\u003cimg alt=\"Shipping list for Rider-Pi wheel-legged robot kit with assembled robot, TF card, USB-C cable, USB-C hub, and micro HDMI cable\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Rider-Pi-Two-Wheel-legged-RobotRaspberry-Pi-CM5-core_4ca87b61-2218-40af-9680-efbae5c63f53.jpg?v=1782060046\"\u003e\u003cp\u003eThe Rider-Pi wheel-legged robot package includes an assembled robot, TF card, USB-C data cable, USB-C hub, and a micro-to-HDMI cable.\u003c\/p\u003e\n\u003c\/div\u003e","brand":"Yahboom","offers":[{"title":"CM5","offer_id":53126823936224,"sku":"3000200895-1","price":611.73,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0643\/3210\/3904\/files\/Rider-Pi_01_a64b25c8-2cba-4f4e-b1d8-8cd5d543a9fb.jpg?v=1782035238"},{"product_id":"yahboom-dogzilla-lite-robot-dog","title":"Yahboom DOGZILLA-Lite 15DOF Quadruped Robot Dog w\/ Raspberry Pi CM5, 3DOF Arm, 5MP Camera","description":"\u003ch2\u003eOverview\u003c\/h2\u003e\u003cp\u003eDOGZILLA-Lite is a 15-DOF desktop AI bionic quadruped robot dog with an integrated robotic arm and end gripper for grasping and handling tasks. It uses an all-metal (aluminum alloy) body and is equipped with an integrated Raspberry Pi CM5 module for AI visual interaction, including face detection, object recognition, and multimodal large-model interaction (text, voice, and vision). A front 2.0-inch IPS display supports real-time interaction display and 35 dynamic expressions.\u003c\/p\u003e\u003cp\u003eFor product selection or technical questions, contact support at \u003ca href=\"https:\/\/rcdrone.top\/\" rel=\"noopener\" target=\"_blank\"\u003ehttps:\/\/rcdrone.top\/\u003c\/a\u003e or email \u003ca href=\"mailto:support@rcdrone.top\"\u003esupport@rcdrone.top\u003c\/a\u003e.\u003c\/p\u003e\u003ciframe height=\"695\" src=\"https:\/\/www.youtube.com\/embed\/W1x-1V8Icac\" title=\"15DOF Robot Dog DOGZILLA Lite\" width=\"1236\"\u003e\u003c\/iframe\u003e\u003ch2\u003eKey Features\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003e15-DOF bionic design:\u003c\/strong\u003e 12DOF quadruped + 3DOF robotic arm (including end gripper) for flexible grasping and precise control.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003ePosture stability and motion control:\u003c\/strong\u003e 15 high-precision 2.3KG·CM bus servos, 6-axis IMU attitude sensor, inverse kinematics algorithms; supports omnidirectional movement, 6D posture control, dynamic balance, and multiple movement gaits.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eMultimodal large-model interaction:\u003c\/strong\u003e large language model, voice large model (voice-to-text \/ text-to-voice interaction via microphone and speaker), and visual large model (image understanding and analysis with feedback).\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eIntegrated CM5 module interaction hardware:\u003c\/strong\u003e 2.0-inch IPS color display, four programmable buttons, 5MP HD camera, microphone, and speaker.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003ePre-installed GUI program:\u003c\/strong\u003e more than 40 functional functions for fast hands-on experience.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eDual APP control:\u003c\/strong\u003e Bluetooth APP for movement\/arm control; WiFi APP for real-time image transmission (FPV-style control experience).\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eAI visual recognition examples:\u003c\/strong\u003e 3D object recognition, face detection, license plate recognition, target detection, emotion recognition, motion detection count, palm control, human skeleton recognition, face tracking, color following, QR code motion control, gesture following, gesture control (1\/2\/3\/4\/5\/6\/Good\/OK\/fist), and “brush” (finger drawing).\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eRobotic arm related functions:\u003c\/strong\u003e APP remote control handling; visual recognition and handling; line tracking with obstacle removal using the arm; voice-command handling control via large language model.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eBuilt-in bionic actions:\u003c\/strong\u003e built-in 20 bionic action groups.\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch2\u003eSpecifications\u003c\/h2\u003e\u003ctable\u003e\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eProduct\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eDOGZILLA-Lite\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eDegrees of Freedom (DOF)\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e15DOF\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eLegs \/ Arm DOF\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e12DOF quadruped + 3DOF robotic arm (including end gripper)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eBody material\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eAluminum alloy \/ all-metal body\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eMain control\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eRaspberry Pi CM5 module (integrated)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eServo specification\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e15 bus servos, 2.3KG·CM\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eIMU\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e6-axis IMU sensor\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eDisplay\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e2.0-inch IPS color display; 35 dynamic expressions; 320 x 240 pixel full color\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eButtons\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eFour programmable buttons\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eCamera\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e5MP HD camera; 5MP OV5647 camera\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eMicrophone \/ speaker\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eDual MEMS microphone; cavity speaker\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eBattery\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e7.4V 2500mAh battery pack (2500mAh lithium battery)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eBattery working time\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e2.2 hours\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eDimensions (power on)\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e240.5*142.9*168.5mm\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eWeight\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eAbout 596g\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eRemote control\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eWiFi remote control APP \/ Bluetooth remote control APP \/ Web remote control\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eROS support\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eX\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\u003c\/table\u003e\u003ch2\u003eApplications\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003eProgramming learning and robotics education\u003c\/li\u003e\n\u003cli\u003eAI vision experiments (object detection, face detection\/tracking, gesture interaction, etc.)\u003c\/li\u003e\n\u003cli\u003eEmbodied intelligence demos (vision + voice + motion + grasping)\u003c\/li\u003e\n\u003cli\u003eCreative interactive projects and technology research\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch2\u003eManuals\u003c\/h2\u003e\u003cul\u003e\u003cli\u003eTutorial link: \u003ca href=\"http:\/\/www.yahboom.net\/study\/DOGZILLA-Lite\" rel=\"noopener\" target=\"_blank\"\u003ehttp:\/\/www.yahboom.net\/study\/DOGZILLA-Lite\u003c\/a\u003e\n\u003c\/li\u003e\u003c\/ul\u003e\u003ch2 id=\"details\"\u003eDetails\u003c\/h2\u003e\u003cdiv class=\"details-gallery\"\u003e\n\u003cimg alt=\"Yahboom DOGZILLA-Lite 15DOF quadruped robot dog with 3DOF robotic arm and IPS expression display\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/DOGZILLA-Lite-AI-Large-Model-Quadruped-Raspberry-Pi-Robot.jpg?v=1782058754\"\u003e\u003cp\u003eA 15-DOF desktop quadruped with an integrated arm and gripper, built for AI interaction and hands-on robotics learning.\u003c\/p\u003e\n\u003cimg alt=\"Integrated Raspberry Pi CM5 module overview for DOGZILLA-Lite AI quadruped robot, with camera, mic and speaker\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/DOGZILLA-Lite-AI-Large-Model-Quadruped-Raspberry-Pi-Robot_6a73e70f-4154-4d53-a974-d990b6825c50.jpg?v=1782058761\"\u003e\u003cp\u003eRaspberry Pi CM5 computing, camera, microphone, and speaker are integrated for vision, voice, and multimodal interaction.\u003c\/p\u003e\n\u003cimg alt=\"Multimodal large-model functions for DOGZILLA-Lite, including vision chat and robotic arm gripper control\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/DOGZILLA-Lite-AI-Large-Model-Quadruped-Raspberry-Pi-Robot_6991c49f-d5ef-487b-8912-377db29b1dcc.jpg?v=1782058767\"\u003e\u003cp\u003eMultimodal features connect perception, decision-making, and execution—including visual understanding and arm-based handling.\u003c\/p\u003e\n\u003cimg alt=\"DOGZILLA-Lite feature highlights: bionic action groups, visual tech applications, hardware, tutorials and support\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/DOGZILLA-Lite-AI-Large-Model-Quadruped-Raspberry-Pi-Robot_a5187fd9-fc77-4e86-a0ab-cd1c21a497d6.jpg?v=1782058773\"\u003e\u003cp\u003eCore capabilities include bionic action groups, multiple vision applications, real-time control, and guided learning resources.\u003c\/p\u003e\n\u003cimg alt=\"Raspberry Pi CM5 hardware integration graphic for the DOGZILLA-Lite robot dog platform\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/DOGZILLA-Lite-AI-Large-Model-Quadruped-Raspberry-Pi-Robot_798c52dd-fb3b-4e87-9a6a-e0a55d80cb63.jpg?v=1782058779\"\u003e\u003cp\u003eSkip CM5 details here if already covered above; use this graphic as supporting technical context.\u003c\/p\u003e\n\u003cimg alt=\"Three AI large models on DOGZILLA-Lite: language model, voice model, and visual model workflows\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/DOGZILLA-Lite-AI-Large-Model-Quadruped-Raspberry-Pi-Robot_3217cbc8-d2cd-4504-b208-338dee62163f.jpg?v=1782058786\"\u003e\u003cp\u003eLanguage, voice, and visual AI modes enable text Q\u0026amp;A, voice interaction, and camera-based understanding.\u003c\/p\u003e\n\u003cimg alt=\"Multimodal large-model applications: Q\u0026amp;A, voice control, and scene understanding on DOGZILLA-Lite\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/DOGZILLA-Lite-AI-Large-Model-Quadruped-Raspberry-Pi-Robot_49c1fc68-0853-4bac-9d69-4678d736f4f0.jpg?v=1782058792\"\u003e\u003cp\u003eVoice commands and scene understanding work together to trigger actions and responses in real time.\u003c\/p\u003e\n\u003cimg alt=\"Embodied intelligence demos: identify and select objects, color line tracking, and command-based control\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/DOGZILLA-Lite-AI-Large-Model-Quadruped-Raspberry-Pi-Robot_b536638c-bc9c-431e-a2c1-8ecffd0f6fe8.jpg?v=1782058799\"\u003e\u003cp\u003eAutonomous-style demos include object selection, color line tracking, and command execution during tasks.\u003c\/p\u003e\n\u003cimg alt=\"Robotic arm functions: app remote handling, visual recognition grasping, and line tracking obstacle removal\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/DOGZILLA-Lite-AI-Large-Model-Quadruped-Raspberry-Pi-Robot_8d02e2f2-b3a8-4041-86db-e1469af9561c.jpg?v=1782058805\"\u003e\u003cp\u003eThe 3DOF arm and gripper support app-controlled grasping, vision-assisted handling, and obstacle clearing tasks.\u003c\/p\u003e\n\u003cimg alt=\"AI visual recognition functions list: 3D object recognition, face detection, license plate recognition, and more\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/DOGZILLA-Lite-AI-Large-Model-Quadruped-Raspberry-Pi-Robot_74527396-d503-44df-93e4-8a179bbdd812.jpg?v=1782058812\"\u003e\u003cp\u003eA broad set of vision demos covers object\/target detection, tracking, gestures, and other camera-based interactions.\u003c\/p\u003e\n\u003cimg alt=\"Interactive demos: palm control, human skeleton recognition, and face tracking with DOGZILLA-Lite camera\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/DOGZILLA-Lite-AI-Large-Model-Quadruped-Raspberry-Pi-Robot_3f6993f9-b076-4797-8448-e2e6a7286665.jpg?v=1782058819\"\u003e\u003cp\u003eGesture-like inputs such as palm control, skeleton recognition, and face tracking enable playful interactive behaviors.\u003c\/p\u003e\n\u003cimg alt=\"Color following, QR code motion control, face mask, gesture following and gesture control demos\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/DOGZILLA-Lite-AI-Large-Model-Quadruped-Raspberry-Pi-Robot_8827f8f7-eae2-4284-a645-b50c8492b37e.jpg?v=1782058825\"\u003e\u003cp\u003eExtra camera demos include color following, QR-triggered motion, and multi-gesture control options.\u003c\/p\u003e\n\u003cimg alt=\"DOGZILLA series comparison chart showing DOGZILLA S1, S2 and DOGZILLA-Lite specifications and features\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/DOGZILLA-Lite-AI-Large-Model-Quadruped-Raspberry-Pi-Robot_d5200518-dc9d-4d30-8ddb-7a460e98be8f.jpg?v=1782058832\"\u003e\u003cp\u003eA side-by-side comparison helps choose the right DOGZILLA model based on computing, sensors, and functions.\u003c\/p\u003e\n\u003cimg alt=\"Yahboom DOGZILLA-Lite 15DOF robot dog built-in 20 bionic action groups like handshake and sit down\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/DOGZILLA-Lite-AI-Large-Model-Quadruped-Raspberry-Pi-Robot_c905f132-5fd1-43b4-a633-2e580f740dc0.jpg?v=1782058844\"\u003e\u003cp\u003eBuilt-in bionic action groups deliver lifelike moves such as handshake, sit-down, stretching, and more.\u003c\/p\u003e\n\u003cimg alt=\"Pre-installed GUI program interface with 40+ functions for DOGZILLA-Lite app and vision features\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/DOGZILLA-Lite-AI-Large-Model-Quadruped-Raspberry-Pi-Robot_de4ff460-c5a9-49a1-a21f-2eab487bfbe2.jpg?v=1782058851\"\u003e\u003cp\u003eThe pre-installed GUI brings many features into one place for quick testing, demos, and configuration.\u003c\/p\u003e\n\u003cimg alt=\"Practical video tutorials library for DOGZILLA-Lite, showing course thumbnails and training materials\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/DOGZILLA-Lite-AI-Large-Model-Quadruped-Raspberry-Pi-Robot_7394b43a-e062-4f23-9063-8d053a3d7e1d.jpg?v=1782058858\"\u003e\u003cp\u003eStep-by-step video tutorials support setup, programming, and feature exploration from beginner to advanced use.\u003c\/p\u003e\n\u003cimg alt=\"2.0-inch IPS display with 35 lifelike dynamic expressions on the DOGZILLA-Lite robot dog\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/DOGZILLA-Lite-AI-Large-Model-Quadruped-Raspberry-Pi-Robot_7711427b-01ae-491e-aee8-6f7e1287f07e.jpg?v=1782058864\"\u003e\u003cp\u003eThe front IPS screen adds expressive feedback with 35 dynamic expressions for more engaging interaction.\u003c\/p\u003e\n\u003cimg alt=\"Additional DOGZILLA-Lite functions grid: recording, posture data, battery reading, servo angles and multi-machine control\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/DOGZILLA-Lite-AI-Large-Model-Quadruped-Raspberry-Pi-Robot_caeec857-bb6c-4fde-ae07-55b642ad1623.jpg?v=1782058870\"\u003e\u003cp\u003eUtility functions include recording, posture\/servo telemetry, battery monitoring, and multi-robot control performance.\u003c\/p\u003e\n\u003cimg alt=\"DOGZILLA-Lite quadruped robot inverse kinematics diagram showing gait planning and four walking modes\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/DOGZILLA-Lite-AI-Large-Model-Quadruped-Raspberry-Pi-Robot_b7205466-d825-4fda-9dc3-db3fd275106b.jpg?v=1782058876\"\u003e\u003cp\u003eThe DOGZILLA-Lite inverse kinematics algorithm supports gait planning with obstacle crossing, walking, crawling, and omnidirectional movement modes.\u003c\/p\u003e\n\u003cimg alt=\"DOGZILLA-Lite quadruped robot with app and web control options shown on Bluetooth, WiFi, and computer interfaces\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Yahboom-DOGZILLA-Lite-15DOF-Quadruped-Robot.webp?v=1782059344\"\u003e\u003cp\u003eDOGZILLA-Lite supports cross-platform remote control via Bluetooth and WiFi mobile apps as well as computer web control.\u003c\/p\u003e\n\u003cimg alt=\"Hands adjusting a Yahboom DOGZILLA-Lite quadruped robot leg in support teaching mode for recording joint angles\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/DOGZILLA-Lite-AI-Large-Model-Quadruped-Raspberry-Pi-Robot_6fa1b524-2f28-408b-a2c0-269376bb1237.jpg?v=1782058892\"\u003e\u003cp\u003eDOGZILLA-Lite supports a teaching mode for manually moving a leg and recording joint angles for movement playback.\u003c\/p\u003e\n\u003cimg alt=\"DOGZILLA-Lite multi-controller diagram showing Raspberry Pi CM5 module linked to ESP32 driver board, servos and IMU\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/DOGZILLA-Lite-AI-Large-Model-Quadruped-Raspberry-Pi-Robot_4b698a67-c13d-4b21-a55e-99b8154c3634.jpg?v=1782058898\"\u003e\u003cp\u003eDOGZILLA-Lite uses a Raspberry Pi CM5 module with an ESP32 driver board to manage servos and the IMU, with support for peripherals like a camera, SD card, screen, microphone, and speaker.\u003c\/p\u003e\n\u003cimg alt=\"Yahboom DOGZILLA-Lite quadruped robot with 3-DOF robotic arm and end gripper holding a red ball\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/DOGZILLA-Lite-AI-Large-Model-Quadruped-Raspberry-Pi-Robot_f6c38bf7-55be-49de-924e-ae8b590d70eb.jpg?v=1782058904\"\u003e\u003cp\u003eDOGZILLA-Lite includes a 3-DOF rear robotic arm with an end gripper rated for a 14.4–53.6 mm gripping range for picking up small objects.\u003c\/p\u003e\n\u003cimg alt=\"Yahboom DOGZILLA-Lite quadruped robot dog with all-metal body, 6-axis IMU, 2500mAh battery and silicone feet\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/DOGZILLA-Lite-AI-Large-Model-Quadruped-Raspberry-Pi-Robot_630481a3-88db-4d60-bda0-d8e6420cf4ba.jpg?v=1782058910\"\u003e\u003cp\u003eDOGZILLA-Lite combines an all-metal quadruped body with a 6-axis IMU, 2500mAh battery, and serial bus servo structure for easier assembly and maintenance.\u003c\/p\u003e\n\u003cimg alt=\"Resource library screenshot for Yahboom DOGZILLA-Lite quadruped robot, with folders, tutorials, and after-sales support files\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/DOGZILLA-Lite-AI-Large-Model-Quadruped-Raspberry-Pi-Robot_992ace8e-aa6c-4533-8c02-5e705a44d5f3.jpg?v=1782058918\"\u003e\u003cp\u003eDOGZILLA-Lite comes with an organized set of folders for AI interaction resources, large model interaction, tutorial videos, and support materials.\u003c\/p\u003e\n\u003cimg alt=\"Yahboom DOGZILLA-Lite quadruped robot product parameters sheet with dimension diagrams and key specs\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/DOGZILLA-Lite-AI-Large-Model-Quadruped-Raspberry-Pi-Robot_7383a0f9-b23e-494f-93cc-17833157b5dd.jpg?v=1782058928\"\u003e\u003cp\u003eDOGZILLA-Lite product parameters list overall dimensions in millimeters along with key component and power details for setup planning.\u003c\/p\u003e\n\u003cimg alt=\"Yahboom DOGZILLA-Lite quadruped robot kit shipping list with aluminum case, cables, USB-C hub, TF card and manual\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/DOGZILLA-Lite-AI-Large-Model-Quadruped-Raspberry-Pi-Robot_bf6d7c7a-79a6-4915-840c-13786c92188a.jpg?v=1782058934\"\u003e\u003cp\u003eThe DOGZILLA-Lite kit comes with an aluminum box, charging and display cables, a Type‑C USB hub, TF card, tools, and an instruction manual.\u003c\/p\u003e\n\u003c\/div\u003e","brand":"Yahboom","offers":[{"title":"CM4","offer_id":53126865387744,"sku":"3000200848-1","price":728.73,"currency_code":"USD","in_stock":true},{"title":"CM5","offer_id":53126865420512,"sku":"3000200848-2","price":752.13,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0643\/3210\/3904\/files\/YahboomDOGZILLA-Lite_1.jpg?v=1782035437"},{"product_id":"yahboom-rosmaster-m3-pro-robot","title":"Yahboom ROSMASTER M3 Pro ROS2 Robot with OpenClaw AI Agent, Dual TOF LiDAR, 6DOF Arm, Mecanum SLAM","description":"\u003ch2\u003eOverview\u003c\/h2\u003e\u003cp\u003eROSMASTER M3 Pro is a ROS2 Robot platform by Yahboom for ROS education, scientific research experiments, and AI application teaching. It uses a Mecanum wheel chassis with pendulum suspension for omnidirectional movement and is developed on ROS2 Humble. The platform integrates a 6DOF robotic arm, a binocular structured-light depth camera for 3D vision hand-eye integration, and dual TOF LiDAR for omnidirectional SLAM mapping, autonomous navigation, obstacle avoidance, and path planning. It also supports multimodal AI large-model interaction (text\/image\/voice) with speech recognition and natural language understanding for task planning and execution.\u003c\/p\u003e\u003cp\u003e\u003ciframe height=\"751\" src=\"https:\/\/www.youtube.com\/embed\/10Rtma_HJ34\" title=\"🦞OpenClaw + ROSMASTER M3 Pro See It Sort, Collect \u0026amp; Cruise Autonomously\" width=\"1335\"\u003e\u003c\/iframe\u003e\u003c\/p\u003e\u003cp\u003e\u003ciframe height=\"695\" src=\"https:\/\/www.youtube.com\/embed\/prPHKn11bVg\" title=\"Meet The Future of ROS2 Robotics Al Large Model, AI Voice Interaction\u0026amp;Sim-to-Real  ROSmaster M3 Pro\" width=\"1236\"\u003e\u003c\/iframe\u003e\u003c\/p\u003e\u003ch2\u003eKey Features\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003eOpenClaw AI agent deployment (with deployment and usage tutorial). \u003cstrong\u003eNote:\u003c\/strong\u003e OpenClaw deployment is not supported on the Jetson Nano B01 version.\u003c\/li\u003e\n\u003cli\u003eEmbedded multimodal large model capabilities: extensible RAG knowledge base, visual large language model, text large language model, dual-model reasoning architecture, and dynamic feedback reasoning.\u003c\/li\u003e\n\u003cli\u003eDual TOF LiDAR point cloud fusion: 360° omnidirectional perception without blind spots; mapping navigation\/road network planning; path planning and multi-point navigation.\u003c\/li\u003e\n\u003cli\u003eRoad network planning: create, edit, and manage route networks composed of points and connecting lines; supports shortest-path selection in sandbox-style route networks.\u003c\/li\u003e\n\u003cli\u003e6DOF 3D visual robotic arm: 3D space grasping, sorting and transportation; 3D point cloud recognition; target positioning and tracking; distance\/volume calculation; 3D real-scene mapping.\u003c\/li\u003e\n\u003cli\u003eDeep vision technology applications: YOLOv26 \/ Transformer, MediaPipe \/ OpenCV, visual fusion repositioning navigation, PCL real-time point cloud segmentation.\u003c\/li\u003e\n\u003cli\u003eBuilt-in AI large model voice module and speaker: supports real-time conversion between voice and text.\u003c\/li\u003e\n\u003cli\u003eMoveIt2 simulation support.\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch2\u003eSpecifications\u003c\/h2\u003e\u003ctable\u003e\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003eModel\u003c\/td\u003e\n\u003ctd\u003eROSMASTER M3 Pro\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eSystem\u003c\/td\u003e\n\u003ctd\u003eROS2 Humble\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eChassis\u003c\/td\u003e\n\u003ctd\u003eAll-aluminum alloy body; Mecanum wheel pendulum suspension; rear-wheel pendulum suspension structure\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eWheel size\u003c\/td\u003e\n\u003ctd\u003e80mm Mecanum wheels\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eLiDAR\u003c\/td\u003e\n\u003ctd\u003eDual TOF LiDAR (diagonal offset layout: right front + left rear); 360° scanning\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eLiDAR detection (from comparison chart)\u003c\/td\u003e\n\u003ctd\u003e360° omnidirectional perception; 24m detection distance\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eDepth camera\u003c\/td\u003e\n\u003ctd\u003eBinocular structured-light depth camera\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eDepth camera FOV (from comparison chart)\u003c\/td\u003e\n\u003ctd\u003eH91° V62°\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eRobotic arm\u003c\/td\u003e\n\u003ctd\u003e6DOF robotic arm; 6PCS intelligent serial bus servos (supports reading back position\/status and other information)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eGripper capability (from arm description)\u003c\/td\u003e\n\u003ctd\u003eClamps up to 410g; repeatable positioning accuracy 0.5mm\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eBattery\u003c\/td\u003e\n\u003ctd\u003e9600mAh high-capacity battery pack\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eTouch screen\u003c\/td\u003e\n\u003ctd\u003e7-inch IPS high-definition touch screen (optional); configuration variants shown: with display \/ without display\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eMotors\u003c\/td\u003e\n\u003ctd\u003eHigh torque encoder metal motor; independent swing suspension with high torque motor\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eROS control board\u003c\/td\u003e\n\u003ctd\u003e3rd generation ROS control board\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eMoveIt\u003c\/td\u003e\n\u003ctd\u003eMoveIt2\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eAI large-model application schemes\u003c\/td\u003e\n\u003ctd\u003eOpenClaw AI agent; optional Dify workflow platform\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eOpenClaw AI agent – supported master control\u003c\/td\u003e\n\u003ctd\u003eRaspberry Pi 5; Jetson Orin Nano SUPER; Jetson Orin NX SUPER\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eOpenClaw AI agent – interaction methods\u003c\/td\u003e\n\u003ctd\u003eVoice, WAP, web\/terminal text commands\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eOpenClaw AI agent – robot control mode\u003c\/td\u003e\n\u003ctd\u003eMCP, CLI\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eDify workflow platform – supported master control\u003c\/td\u003e\n\u003ctd\u003eRaspberry Pi 5; Jetson Orin Nano SUPER; Jetson Orin NX SUPER; Jetson Nano B01\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eDify workflow platform – robot control mode\u003c\/td\u003e\n\u003ctd\u003ehttp\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eAI visual tracking algorithm (from solution comparison)\u003c\/td\u003e\n\u003ctd\u003eOpenClaw: Transformer model; Dify: KCF\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eOptional AI large-model scenario sand table \/ sandbox map\u003c\/td\u003e\n\u003ctd\u003eSize: 3m × 4.1m (optional accessory; not included with ROSMASTER M3 Pro)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\u003c\/table\u003e\u003ch3\u003eMaster Control Board Options (for selection)\u003c\/h3\u003e\u003ctable\u003e\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003eOption\u003c\/td\u003e\n\u003ctd\u003eKey compute spec shown\u003c\/td\u003e\n\u003ctd\u003ePower (shown)\u003c\/td\u003e\n\u003ctd\u003eROS system (shown)\u003c\/td\u003e\n\u003ctd\u003eOpenClaw (shown)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eJetson Nano B01 4GB\u003c\/td\u003e\n\u003ctd\u003e0.5 TFLOPS (FP16); Quad-Core Arm Cortex-A57 MPCore; 128-core NVIDIA Maxwell GPU; 4GB 64-bit LPDDR4 (25.6 GB\/s)\u003c\/td\u003e\n\u003ctd\u003e5W, 10W\u003c\/td\u003e\n\u003ctd\u003eUbuntu 18.04 LTS + Docker + ROS2 Humble\u003c\/td\u003e\n\u003ctd\u003eNot supported\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eRaspberry Pi 5 (8GB\/16GB)\u003c\/td\u003e\n\u003ctd\u003eCortex-A76; VideoCore VII; RAM: 8GB\/16GB\u003c\/td\u003e\n\u003ctd\u003e10W\u003c\/td\u003e\n\u003ctd\u003eRaspberry Pi OS + Docker + ROS2 Humble\u003c\/td\u003e\n\u003ctd\u003e(See OpenClaw support note above)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eJetson Orin Nano SUPER 8GB\u003c\/td\u003e\n\u003ctd\u003e67 TOPS; 6-core Arm Cortex-A78AE v8.2 64-bit CPU (1.5MB L2 + 4MB L3); 1024-core NVIDIA Ampere GPU with 32 Tensor Cores; 8GB 128-bit LPDDR5 (102 GB\/s)\u003c\/td\u003e\n\u003ctd\u003e7W, 15W, 25W\u003c\/td\u003e\n\u003ctd\u003eUbuntu 22.04 LTS + ROS2 Humble\u003c\/td\u003e\n\u003ctd\u003eSupport\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eJetson Orin NX SUPER 8GB\u003c\/td\u003e\n\u003ctd\u003e117 TOPS; 6-core NVIDIA Arm Cortex-A78AE v8.2 64-bit CPU (1.5MB L2 + 4MB L3); 1024-core NVIDIA Ampere GPU with 32 Tensor Cores; 8GB 128-bit LPDDR5 (102 GB\/s)\u003c\/td\u003e\n\u003ctd\u003e10W, 15W, 25W, 40W\u003c\/td\u003e\n\u003ctd\u003eUbuntu 22.04 LTS + ROS2 Humble\u003c\/td\u003e\n\u003ctd\u003eSupport\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eJetson Orin NX SUPER 16GB\u003c\/td\u003e\n\u003ctd\u003e157 TOPS; 8-core NVIDIA Arm Cortex-A78AE v8.2 64-bit CPU (2MB L2 + 4MB L3); 1024-core NVIDIA Ampere GPU with 32 Tensor Cores; 16GB 128-bit LPDDR5 (102 GB\/s)\u003c\/td\u003e\n\u003ctd\u003e10W, 15W, 25W, 40W\u003c\/td\u003e\n\u003ctd\u003eUbuntu 22.04 LTS + ROS2 Humble\u003c\/td\u003e\n\u003ctd\u003eSupport\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\u003c\/table\u003e\u003ch3\u003eFunctional Case Test Comparison (shown)\u003c\/h3\u003e\u003ctable\u003e\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003eVersion\u003c\/td\u003e\n\u003ctd\u003eOffline speech recognition \/ speech synthesis\u003c\/td\u003e\n\u003ctd\u003eAI large model task decision planning time\u003c\/td\u003e\n\u003ctd\u003eSimple task loading time\u003c\/td\u003e\n\u003ctd\u003eComplex task loading time\u003c\/td\u003e\n\u003ctd\u003eTracking \u0026amp; color block grabbing\u003c\/td\u003e\n\u003ctd\u003eAdvanced 3D visual functions\u003c\/td\u003e\n\u003ctd\u003eMediaPipe development\u003c\/td\u003e\n\u003ctd\u003eMoveIt2 simulation\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eRaspberry Pi 5 16GB\u003c\/td\u003e\n\u003ctd\u003eNone\u003c\/td\u003e\n\u003ctd\u003e2s\u003c\/td\u003e\n\u003ctd\u003e10s\u003c\/td\u003e\n\u003ctd\u003e15s\u003c\/td\u003e\n\u003ctd\u003e15fps\u003c\/td\u003e\n\u003ctd\u003e15fps\u003c\/td\u003e\n\u003ctd\u003e15fps\u003c\/td\u003e\n\u003ctd\u003eUsing a companion virtual machine\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eJetson Nano B01 4GB\u003c\/td\u003e\n\u003ctd\u003eNone\u003c\/td\u003e\n\u003ctd\u003e2s\u003c\/td\u003e\n\u003ctd\u003e12s\u003c\/td\u003e\n\u003ctd\u003e13s\u003c\/td\u003e\n\u003ctd\u003e15fps\u003c\/td\u003e\n\u003ctd\u003e15fps\u003c\/td\u003e\n\u003ctd\u003e10fps\u003c\/td\u003e\n\u003ctd\u003eUsing a companion virtual machine\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eJetson Orin Nano SUPER 8GB\u003c\/td\u003e\n\u003ctd\u003e4s\u003c\/td\u003e\n\u003ctd\u003e2s\u003c\/td\u003e\n\u003ctd\u003e6s\u003c\/td\u003e\n\u003ctd\u003e8s\u003c\/td\u003e\n\u003ctd\u003e30fps\u003c\/td\u003e\n\u003ctd\u003e30fps\u003c\/td\u003e\n\u003ctd\u003e30fps\u003c\/td\u003e\n\u003ctd\u003e30fps+\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eJetson Orin NX SUPER 16GB\u003c\/td\u003e\n\u003ctd\u003e4s\u003c\/td\u003e\n\u003ctd\u003e2s\u003c\/td\u003e\n\u003ctd\u003e4s\u003c\/td\u003e\n\u003ctd\u003e4s\u003c\/td\u003e\n\u003ctd\u003e30fps\u003c\/td\u003e\n\u003ctd\u003e30fps\u003c\/td\u003e\n\u003ctd\u003e30fps\u003c\/td\u003e\n\u003ctd\u003e30fps+\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\u003c\/table\u003e\u003cp\u003eFor configuration selection help (Raspberry Pi vs Jetson options) or after-sales support, contact \u003ca href=\"https:\/\/rcdrone.top\/\" rel=\"noopener noreferrer\" target=\"_blank\"\u003ehttps:\/\/rcdrone.top\/\u003c\/a\u003e or email \u003ca href=\"mailto:support@rcdrone.top\"\u003esupport@rcdrone.top\u003c\/a\u003e.\u003c\/p\u003e\u003ch2\u003eApplications\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003eROS2 education and labs: SLAM mapping, navigation, obstacle avoidance, and road network planning.\u003c\/li\u003e\n\u003cli\u003e3D vision \u0026amp; manipulation: 3D recognition\/grasping, sorting, tracking, and handling with a 6DOF arm and depth point cloud.\u003c\/li\u003e\n\u003cli\u003eMultimodal AI interaction: voice\/text\/image interaction with task decomposition, long-term scheduling, memory search, and proactive response logic (OpenClaw workflow).\u003c\/li\u003e\n\u003cli\u003eAI visual recognition (examples shown): human feature recognition, gesture recognition, finger tip trajectory recognition, human skeleton recognition, 3D detection, 3D face detection, tag code recognition, zero-shot Transformer object tracking, visual re-localization fusion navigation solution, rotating object detection and grasping.\u003c\/li\u003e\n\u003cli\u003eDepth camera functions (examples shown): depth image\/point cloud, distance measurement, PCL real-time point cloud segmentation and localization, RTAB-Map 3D visual mapping navigation, regional target height measurement, wood block volume measurement.\u003c\/li\u003e\n\u003cli\u003eLiDAR functions (examples shown): Gmapping\/Cartographer\/slam_toolbox mapping, dual LiDAR fusion filtering, DWA dynamic obstacle avoidance, single\/multi-point navigation, app mapping navigation, repositioning mapping navigation, road network planning, LiDAR obstacle avoidance, LiDAR following, LiDAR guard.\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch2\u003eManuals\u003c\/h2\u003e\u003cul\u003e\u003cli\u003eTutorial\/Study page: \u003ca href=\"https:\/\/www.yahboom.net\/study\/ROSMASTER-M3PRO\" rel=\"noopener noreferrer\" target=\"_blank\"\u003ehttps:\/\/www.yahboom.net\/study\/ROSMASTER-M3PRO\u003c\/a\u003e\n\u003c\/li\u003e\u003c\/ul\u003e\u003ch2 id=\"details\"\u003eDetails\u003c\/h2\u003e\u003cdiv class=\"details-gallery\"\u003e\n\u003cimg alt=\"Yahboom ROSMASTER M3 Pro ROS2 robot with 6DOF arm on mecanum-wheel chassis for AI teaching\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/ROSMASTER-M3-Pro-ROS2-Robot-with-Multimodal-AI-Large-Model.jpg?v=1782057423\"\u003e\u003cp\u003eAn all-in-one ROS2 Humble education platform combining omnidirectional mobility, 3D vision, and a 6DOF robotic arm.\u003c\/p\u003e\n\u003cimg alt=\"Feature overview: multimodal AI large-model interaction, OpenClaw agent, dual TOF LiDAR SLAM, and 3D visual arm\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/ROSMASTER-M3-Pro-ROS2-Robot-with-Multimodal-AI-Large-Model_b2de25b4-5a6e-4e9d-9434-ed4a3f1bb2cd.jpg?v=1782057429\"\u003e\u003cp\u003eMultimodal interaction and autonomy features support mapping, navigation, grasping, and task execution in one platform.\u003c\/p\u003e\n\u003cimg alt=\"Benefits: OpenClaw AI agent for natural-language tasks with voice or app control on ROSMASTER M3 Pro\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/ROSMASTER-M3-Pro-ROS2-Robot-with-Multimodal-AI-Large-Model_82671aac-a490-4b8a-a01e-c4e6f3ebab5b.jpg?v=1782057435\"\u003e\u003cp\u003eOpenClaw enables natural-language task planning with options for voice, app, and text-based commands.\u003c\/p\u003e\n\u003cimg alt=\"Dual TOF LiDAR point-cloud fusion and road-network planning interface for navigation and path planning\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/ROSMASTER-M3-Pro-ROS2-Robot-with-Multimodal-AI-Large-Model_05dc1493-3566-4547-abb7-dbd02da8e12d.jpg?v=1782057442\"\u003e\u003cp\u003eDual TOF LiDAR fusion delivers 360° perception for SLAM mapping, obstacle avoidance, and flexible route planning.\u003c\/p\u003e\n\u003cimg alt=\"Built-in large language, voice, and visual models for chat, speech interaction, and vision understanding\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/ROSMASTER-M3-Pro-ROS2-Robot-with-Multimodal-AI-Large-Model_5a799547-504f-4283-a0e2-b2d2824fc0ab.jpg?v=1782057449\"\u003e\u003cp\u003eThree built-in model types cover text reasoning, voice interaction, and visual understanding for richer robotics demos.\u003c\/p\u003e\n\u003cimg alt=\"Two AI application solutions: embedded OpenClaw agent and optional Difly workflow platform comparison\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/ROSMASTER-M3-Pro-ROS2-Robot-with-Multimodal-AI-Large-Model_01665df7-75c2-4017-9abe-a658225aa016.jpg?v=1782057455\"\u003e\u003cp\u003eChoose between embedded OpenClaw deployment or an optional workflow platform depending on your project needs.\u003c\/p\u003e\n\u003cimg alt=\"Optional AI scenario sand table with factory-style props for sorting, counting, and route tasks\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/ROSMASTER-M3-Pro-ROS2-Robot-with-Multimodal-AI-Large-Model_69324f5a-dc39-484b-8148-75cc1aa809e7.jpg?v=1782057462\"\u003e\u003cp\u003eA modular scenario table supports repeatable training scenes for sorting, counting, and navigation exercises.\u003c\/p\u003e\n\u003cimg alt=\"OpenClaw creative application examples: sorting, scheduling, report generation, MCP, memory search, and skills\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/ROSMASTER-M3-Pro-ROS2-Robot-with-Multimodal-AI-Large-Model_6719bb63-86ea-42f3-9668-19e7437dbf77.jpg?v=1782057469\"\u003e\u003cp\u003eExample projects highlight how agent-based control can be applied to everyday lab tasks and interactive demos.\u003c\/p\u003e\n\u003cimg alt=\"OpenClaw integrates SLAM mapping, navigation, and transport workflows with task chat prompts\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/ROSMASTER-M3-Pro-ROS2-Robot-with-Multimodal-AI-Large-Model_026403e0-e049-4c35-bcc6-6a3e08505db2.jpg?v=1782057475\"\u003e\u003cp\u003eAgent workflows can connect chat-based instructions with mapping, navigation, and transport behaviors.\u003c\/p\u003e\n\u003cimg alt=\"OpenClaw examples: MCP low-level calling, memory search, and SLAM road-network navigation screens\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/ROSMASTER-M3-Pro-ROS2-Robot-with-Multimodal-AI-Large-Model_78b299c5-da74-4964-92d9-ea049aed0abe.jpg?v=1782057481\"\u003e\u003cp\u003eTools like memory search and MCP-style calling help connect higher-level intent to reliable robot actions.\u003c\/p\u003e\n\u003cimg alt=\"Multimodal visual model applications for tracking, autonomous cruising, color tracking, and arm tasks\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/ROSMASTER-M3-Pro-ROS2-Robot-with-Multimodal-AI-Large-Model_b34b4e13-5673-4e78-a3d1-c95a8b30da2a.jpg?v=1782057489\"\u003e\u003cp\u003eVision-driven behaviors include target tracking, color recognition, autonomous cruising, and coordinated arm actions.\u003c\/p\u003e\n\u003cimg alt=\"Deep-vision hand-eye integration with binocular structured-light depth camera for 3D measurement and grasping\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/ROSMASTER-M3-Pro-ROS2-Robot-with-Multimodal-AI-Large-Model_c73991e5-0002-4ec8-a176-1762a9a27bdb.jpg?v=1782057496\"\u003e\u003cp\u003eBinocular structured-light depth sensing supports hand–eye coordination for 3D measurement, recognition, and grasping.\u003c\/p\u003e\n\u003cimg alt=\"Multi-LiDAR scheme and comparison table for large-model robots across use cases\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/ROSMASTER-M3-Pro-ROS2-Robot-with-Multimodal-AI-Large-Model_ec4f053b-f314-4138-b5ca-93d95d53cbf1.jpg?v=1782057503\"\u003e\u003cp\u003eConfiguration comparisons help select the right sensing and compute combination for your classroom or lab.\u003c\/p\u003e\n\u003cimg alt=\"ROS robot configuration selection suggestions with option matrix and function comparisons\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/ROSMASTER-M3-Pro-ROS2-Robot-with-Multimodal-AI-Large-Model_f52dbc32-ada4-44b6-a520-9acbcf08771d.jpg?v=1782057509\"\u003e\u003cp\u003eA selection guide summarizes common configurations and differences across function sets.\u003c\/p\u003e\n\u003cimg alt=\"ROS functions overview: LiDAR mapping, depth camera measurement, and AI visual recognition modules\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/ROSMASTER-M3-Pro-ROS2-Robot-with-Multimodal-AI-Large-Model_1a4ba606-131f-43e7-b894-c111f94cbba9.jpg?v=1782057546\"\u003e\u003cp\u003eCore ROS capabilities cover LiDAR mapping, depth-camera perception, and visual recognition pipelines.\u003c\/p\u003e\n\u003cimg alt=\"MoveIt2 robotic arm simulation and visual motion control functions plus multi-robot interconnection examples\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/ROSMASTER-M3-Pro-ROS2-Robot-with-Multimodal-AI-Large-Model_c027ab71-b778-4c7d-88e4-862a48823085.jpg?v=1782057553\"\u003e\u003cp\u003eMoveIt2 simulation and motion-control demos support planning, grasping workflows, and multi-robot coordination.\u003c\/p\u003e\n\u003cimg alt=\"All-aluminum mecanum chassis with pendulum wheel suspension and ROS2 Humble development badge\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/ROSMASTER-M3-Pro-ROS2-Robot-with-Multimodal-AI-Large-Model_bd9049aa-c81f-401c-a121-d2628b7bc4a3.jpg?v=1782057560\"\u003e\u003cp\u003eAn aluminum mecanum chassis with pendulum suspension improves stability while keeping full ROS2 Humble compatibility.\u003c\/p\u003e\n\u003cimg alt=\"Remote-control options (app, computer, gamepad) and exploded product structure with labeled components\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/ROSMASTER-M3-Pro-ROS2-Robot-with-Multimodal-AI-Large-Model_8ef5d67c-a842-4720-b7ae-07c88977f281.jpg?v=1782057567\"\u003e\u003cp\u003eMultiple control methods and a clear structure layout make it easier to set up, maintain, and expand the robot.\u003c\/p\u003e\n\u003cimg alt=\"Yahboom ROSMASTER M3 Pro ROS2 robot overview sheet with 6DOF robotic arm and binocular structured light depth camera\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/ROSMASTER-M3-Pro-ROS2-Robot-with-Multimodal-AI-Large-Model_77aab116-7e26-47dc-a284-8420c5b0021b.jpg?v=1782057574\"\u003e\u003cp\u003eThe ROSMASTER M3 Pro platform can be configured with a 6DOF robotic arm and a binocular structured light depth camera for grasping and depth-based perception tasks.\u003c\/p\u003e\n\u003cimg alt=\"Yahboom ROSMASTER M3 Pro ROS2 robot feature graphic with TOF laser LiDAR module and AI voice module board\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/ROSMASTER-M3-Pro-ROS2-Robot-with-Multimodal-AI-Large-Model_f2ed5ca2-bf8d-4df6-91b2-f254615e271b.jpg?v=1782057581\"\u003e\u003cp\u003eTOF laser LiDAR supports 0.05–12 m ranging with up to 4000 scans per second, while the voice module adds mic and speaker connections for voice interaction.\u003c\/p\u003e\n\u003cimg alt=\"Yahboom ROSMASTER M3 Pro ROS2 robot control board installed in a robot chassis with labeled feature overview\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Yahboom-ROSMASTER-M3-Pro-ROS2-Robot.webp?v=1782058587\"\u003e\u003cp\u003eThe Yahboom ROSMASTER M3 Pro ROS2 robot control board provides a compact, labeled connector layout for building and expanding a mobile robot system.\u003c\/p\u003e\n\u003cimg alt=\"Laptop screen showing Yahboom ROSMASTER M3 Pro ROS2 robot tutorial repository and course list\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/ROSMASTER-M3-Pro-ROS2-Robot-with-Multimodal-AI-Large-Model_bb75e38f-5957-462c-ba93-d4de0ecf5671.jpg?v=1782057601\"\u003e\u003cp\u003eYahboom ROSMASTER M3 Pro includes access to 200+ detailed courses via an online tutorial repository for learning ROS2 and AI.\u003c\/p\u003e\n\u003cimg alt=\"ROSMASTER M3 Pro course outline chart listing ROS control, OpenCV vision, SLAM mapping, and AI learning modules\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/ROSMASTER-M3-Pro-ROS2-Robot-with-Multimodal-AI-Large-Model_05aa4c2a-cd43-4b7f-ac8c-6dbefe8dede4.jpg?v=1782057607\"\u003e\u003cp\u003eThe ROSMASTER M3 Pro learning outline covers ROS control basics alongside OpenCV vision tasks, SLAM mapping, and AI features for progressive ROS2 practice.\u003c\/p\u003e\n\u003cimg alt=\"Yahboom ROSMASTER M3 Pro ROS2 robot course roadmap poster listing OpenCV, MediaPipe, MoveIt2 and ROS2 basics\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/ROSMASTER-M3-Pro-ROS2-Robot-with-Multimodal-AI-Large-Model_c3d62ffc-2e2c-458a-8040-8ec775f3c107.jpg?v=1782057613\"\u003e\u003cp\u003eThe ROSMASTER M3 Pro learning roadmap covers topics like OpenCV vision, MediaPipe tracking, MoveIt2 simulation, and ROS2 basics.\u003c\/p\u003e\n\u003cimg alt=\"Open source code and tutorial folders for Yahboom ROSMASTER M3 Pro ROS2 robot, with course list overview\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/ROSMASTER-M3-Pro-ROS2-Robot-with-Multimodal-AI-Large-Model_782af5c2-cbfd-426c-b7b4-a1c2dbf81676.jpg?v=1782057622\"\u003e\u003cp\u003eThe ROSMASTER M3 Pro includes open-source code folders and detailed tutorials covering ROS basics, mapping, navigation, and vision tasks.\u003c\/p\u003e\n\u003cimg alt=\"Yahboom ROSMASTER M3 Pro ROS2 robot support graphic listing ROS2 video tutorials, English subtitles, and 3D model files\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/ROSMASTER-M3-Pro-ROS2-Robot-with-Multimodal-AI-Large-Model_e7e55d0a-4e37-4906-9902-4222e93b01a2.jpg?v=1782057629\"\u003e\u003cp\u003eROSMASTER M3 Pro comes with ROS2 video tutorials with English subtitles and provides 3D model files to support development and integration.\u003c\/p\u003e\n\u003cimg alt=\"ROSMASTER series vehicle selection comparison table listing chassis, camera options, compute boards, and battery specs\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/ROSMASTER-M3-Pro-ROS2-Robot-with-Multimodal-AI-Large-Model_4397b425-bea1-4b24-96e7-e1178f5a7010.jpg?v=1782057634\"\u003e\u003cp\u003eThe ROSMASTER Series comparison outlines key differences in chassis type, RGBD camera options, control boards, and battery capacity to help choose the right ROS2 robot platform.\u003c\/p\u003e\n\u003cimg alt=\"ROSMASTER M1 robot spec chart with mecanum chassis, 80mm wheels, 520 geared motors, camera and LiDAR options\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/ROSMASTER-M3-Pro-ROS2-Robot-with-Multimodal-AI-Large-Model_438ba2d9-cb2f-469b-899e-0f0f7b3de48a.jpg?v=1782057640\"\u003e\u003cp\u003eThe ROSMASTER M1 platform pairs a mecanum-wheel chassis and 520 geared motors with selectable camera, LiDAR, and control-board options for ROS-based development.\u003c\/p\u003e\n\u003cimg alt=\"Yahboom ROSMASTER M3 Pro ROS2 robot spec table with mecanum chassis, camera options, OLED\/LCD, and battery details\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/ROSMASTER-M3-Pro-ROS2-Robot-with-Multimodal-AI-Large-Model_61e5d9bf-6127-43d0-8cc6-c19d4c9357d4.jpg?v=1782057647\"\u003e\u003cp\u003eROSMaster M3 Pro pairs a mecanum-wheel chassis with RGBD camera options, 0.91-inch OLED\/optional 7-inch touchscreen, and a 12.6V 6000mAh battery.\u003c\/p\u003e\n\u003cimg alt=\"Specification chart for Yahboom ROSMASTER M3 Pro ROS2 robot with mecanum chassis, 6-DOF arm, LiDAR and board options\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/ROSMASTER-M3-Pro-ROS2-Robot-with-Multimodal-AI-Large-Model_1a3ed7a2-670c-434f-af9e-ae005be932f8.jpg?v=1782057652\"\u003e\u003cp\u003eThe ROSMASTER M3 Pro platform lists a mecanum-wheel chassis, optional RGBD camera, 6‑DOF robotic arm, dual LiDAR, and Raspberry Pi or Jetson control board options.\u003c\/p\u003e\n\u003cimg alt=\"Dimension diagram for Yahboom ROSMASTER M3 Pro ROS2 robot showing side, front, and top views with measurements in mm.\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/ROSMASTER-M3-Pro-ROS2-Robot-with-Multimodal-AI-Large-Model_8d532403-2185-4f6e-a9a5-d258c47e4a4a.jpg?v=1782057659\"\u003e\u003cp\u003eThe Yahboom ROSMASTER M3 Pro ROS2 robot’s dimension drawings list key overall measurements in millimeters for planning fit and mounting.\u003c\/p\u003e\n\u003cimg alt=\"Yahboom ROSMASTER M3 Pro ROS2 robot master controller spec sheet with Raspberry Pi 5 and Jetson Orin options\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/ROSMASTER-M3-Pro-ROS2-Robot-with-Multimodal-AI-Large-Model_d3834cbc-8289-428e-9cc9-48bc55b449ad.jpg?v=1782057665\"\u003e\u003cp\u003eROSMASTER M3 Pro supports Raspberry Pi 5 or Jetson Orin platforms with Python programming, WiFi networking, and a 12.6V 9600mAh battery pack.\u003c\/p\u003e\n\u003cimg alt=\"Yahboom ROSMASTER M3 Pro robot kit shipping list with car chassis, 6DOF arm, controller, boards, batteries and mounts\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/ROSMASTER-M3-Pro-ROS2-Robot-with-Multimodal-AI-Large-Model_9e26f863-1086-4a42-a9cd-d4577e674e69.jpg?v=1782057673\"\u003e\u003cp\u003eThe ROSMASTER M3 Pro kit includes the robot chassis, 6DOF arm, controller, expansion boards, batteries, brackets, and basic tools for assembly.\u003c\/p\u003e\n\u003cimg alt=\"Accessory list chart for Yahboom ROSMASTER M3 Pro robot, showing optional 7-inch touchscreen and ROS Master Control kits.\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/ROSMASTER-M3-Pro-ROS2-Robot-with-Multimodal-AI-Large-Model_f7260b48-3a36-4bb1-af49-0f106aa97674.jpg?v=1782057679\"\u003e\u003cp\u003eOptional accessory bundles are organized by controller option, including a 7-inch touch screen set and kits for Raspberry Pi or NVIDIA Jetson boards with the needed cables and mounts.\u003c\/p\u003e\n\u003c\/div\u003e","brand":"Yahboom","offers":[{"title":"RPi 5-8GB \/ Without Display","offer_id":53126869811424,"sku":"3000200981-1","price":1693.98,"currency_code":"USD","in_stock":true},{"title":"RPi 5-8GB \/ With Display","offer_id":53126869844192,"sku":"3000200981-2","price":1810.98,"currency_code":"USD","in_stock":true},{"title":"RPi 5-16GB \/ Without Display","offer_id":53126869876960,"sku":"3000200981-3","price":1787.58,"currency_code":"USD","in_stock":true},{"title":"RPi 5-16GB \/ With 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It adopts an Ackerman motion\/steering chassis to replicate real vehicle steering characteristics, and integrates AI large model voice interaction plus visual perception for SLAM mapping and navigation, environment understanding, and multimodal (voice\/vision\/text) interaction.\u003c\/p\u003e\u003cp\u003eIt supports multiple master control options including Raspberry Pi 5 (8GB), RDK X5 (8GB), Jetson Nano B01 (4GB), and Jetson Orin Nano SUPER (8GB). Typical hardware options include an AI large model voice module, 2MP HD camera PTZ (standard kit), 3D depth camera PTZ (superior\/ultimate kits), and TOF LiDAR (including T-mini Plus LiDAR or SLAM C1 LiDAR depending on version).\u003c\/p\u003e\u003ch2\u003eKey Features\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003eAckerman steering chassis for vehicle-like motion\u003c\/strong\u003e: aluminum alloy Ackerman chassis; turning geometry with different inner\/outer wheel angles.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eChassis hardware for precise control\u003c\/strong\u003e: equipped with a 20kg metal digital servo for precise steering; high-torque 520 encoder motor; 68mm non-slip rubber tire; high-precision bearing.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eMultimodal large model capabilities\u003c\/strong\u003e: scalable RAG knowledge base; visual large language model; text large-scale language model; bimodal reasoning architecture; dynamic feedback reasoning.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eBuilt-in three AI large models (as described)\u003c\/strong\u003e:\n    \u003cul\u003e\n\u003cli\u003eLarge language model: real-time connection to a large model platform for text command understanding and flexible responses.\u003c\/li\u003e\n\u003cli\u003eVoice large model: AI large model voice module and speaker supporting real-time conversion between voice and text (“listen” and “speak”).\u003c\/li\u003e\n\u003cli\u003eVisual large model: depth camera or HD camera for image understanding, object identification, and text\/voice feedback output.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003e3D depth vision (optional)\u003c\/strong\u003e: depth distance; volume measurement; 3D point cloud recognition; 3D real-world mapping; deep edge detection.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eTOF LiDAR functions\u003c\/strong\u003e: road network planning; mapping navigation; path planning; dynamic obstacle avoidance; multi-point navigation; 360° omnidirectional perception.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eROS2 development ecosystem\u003c\/strong\u003e: compatible with Gazebo and RViz; supports SLAM mapping and navigation, obstacle avoidance, tracking, and visual recognition functions.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eAI vision software stack (as listed)\u003c\/strong\u003e: Mediapipe, OpenCV, YOLOv11.\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch2\u003eSpecifications\u003c\/h2\u003e\u003ctable\u003e\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eProduct\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eROSMASTER A1\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003ePlatform\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eAI Large Model Ackerman Car \/ ROS2 robot car platform\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eChassis size\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e277.8 x 201.4 x 182.2 mm\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eChassis material\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eAluminum alloy (all-aluminum alloy body \/ large-size aluminum alloy chassis)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eSteering\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eAckerman steering chassis; 20kg metal digital servo (20KG high-torque metal servo)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eDrive motor\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eHigh-torque 520 encoder motor\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eTires\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e68mm non-slip rubber tire\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eBearings\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eHigh-precision bearing\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eBattery pack\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e6000mAh battery pack\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eRobot control\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eROS robot control board \/ ROS robot expansion board (wording shown: ROS robot control board; multi-function ROS robot expansion board)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eSoftware environment\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eROS2 HUMBLE\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eSimulation\/visualization\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eGazebo, RViz\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\u003c\/table\u003e\u003ch3\u003eVersion Configurations (Differences)\u003c\/h3\u003e\u003ctable\u003e\n\u003cthead\u003e\u003ctr\u003e\n\u003cth\u003eItem\u003c\/th\u003e\n\u003cth\u003eStandard Kit\u003c\/th\u003e\n\u003cth\u003eSuperior Kit\u003c\/th\u003e\n\u003cth\u003eUltimate kit\u003c\/th\u003e\n\u003c\/tr\u003e\u003c\/thead\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eMaster Control\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eRaspberry Pi 5; RDK X5; Jetson Nano B01\u003c\/td\u003e\n\u003ctd\u003eRaspberry Pi 5; RDK X5; Jetson Nano B01; Jetson Orin Nano SUPER\u003c\/td\u003e\n\u003ctd\u003eRaspberry Pi 5; RDK X5; Jetson Nano B01; Jetson Orin Nano SUPER\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eVoice Module\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd colspan=\"3\"\u003eInclude\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eCamera\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e2MP HD camera PTZ\u003c\/td\u003e\n\u003ctd\u003eNuwa-HP60C depth camera PTZ\u003c\/td\u003e\n\u003ctd\u003eNuwa-HP60C depth camera PTZ\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eLiDAR\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eT-mini Plus LiDAR\u003c\/td\u003e\n\u003ctd\u003eT-mini Plus LiDAR\u003c\/td\u003e\n\u003ctd\u003eSLAM C1 LiDAR\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\u003ch3\u003eROS Robot Configuration Selection Suggestions (as listed)\u003c\/h3\u003e\u003cp\u003eIt is strongly recommended to choose the configuration of \u003cstrong\u003eJetson Orin Nano SUPER\u003c\/strong\u003e board to ensure the smoothness of large model operation and the effect of function realization. (Label shown: “Computing power increased by 70%”.)\u003c\/p\u003e\u003ctable\u003e\n\u003cthead\u003e\u003ctr\u003e\n\u003cth\u003eROS master control\u003c\/th\u003e\n\u003cth\u003eRaspberry Pi 5 8GB\u003c\/th\u003e\n\u003cth\u003eRDK X5 8GB\u003c\/th\u003e\n\u003cth\u003eJetson Nano B01 4GB\u003c\/th\u003e\n\u003cth\u003eJetson Orin Nano SUPER 8GB\u003c\/th\u003e\n\u003c\/tr\u003e\u003c\/thead\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eComputing power\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eJetson Nano B01 is close to\u003c\/td\u003e\n\u003ctd\u003e10 TOPS\u003c\/td\u003e\n\u003ctd\u003e0.5TFLOPS (FP16)\u003c\/td\u003e\n\u003ctd\u003e67 TOPS\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eCPU\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eCortex-A76\u003c\/td\u003e\n\u003ctd\u003e8-core Cortex-A55 @ 1.5GHz\u003c\/td\u003e\n\u003ctd\u003eQuad-Core Arm Cortex-A57 MPCore processor\u003c\/td\u003e\n\u003ctd\u003e6-core Arm Cortex-A78AE v8.2 64-bit CPU; 1.5MB L2 + 4MB L3\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eGPU\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eVideoCore VII\u003c\/td\u003e\n\u003ctd\u003e32Gflops\u003c\/td\u003e\n\u003ctd\u003e128-core NVIDIA Maxwell GPU\u003c\/td\u003e\n\u003ctd\u003e1024-core NVIDIA Ampere architecture GPU with 32 Tensor Cores\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eRAM\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e8GB\u003c\/td\u003e\n\u003ctd\u003e8GB\u003c\/td\u003e\n\u003ctd\u003e4GB 64-bit LPDDR4; 25.6 GB\/s\u003c\/td\u003e\n\u003ctd\u003e8GB 128-bit LPDDR5; 102 GB\/s\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eStorage\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e128GB TF card (Free)\u003c\/td\u003e\n\u003ctd\u003e\u003c\/td\u003e\n\u003ctd\u003e128GB U disk (Free)\u003c\/td\u003e\n\u003ctd\u003e256GB SSD (Free)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003ePower\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e10W\u003c\/td\u003e\n\u003ctd\u003e25W\u003c\/td\u003e\n\u003ctd\u003e5W, 10W\u003c\/td\u003e\n\u003ctd\u003e7W, 15W, 25W\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eProvide ROS System\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eRaspberry Pi OS + Docker + ROS2 Humble\u003c\/td\u003e\n\u003ctd\u003eUbuntu 22.04 + ROS2 Humble\u003c\/td\u003e\n\u003ctd\u003eUbuntu18.04 LTS + Docker+ ROS2 Humble\u003c\/td\u003e\n\u003ctd\u003eUbuntu22.04 LTS + ROS2 Humble\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\u003cp\u003eSummary text shown: ROSMASTER A1 supports Raspberry Pi, RDK X5 and Jetson series master control, and the usage methods are basically the same. Different master control only affects the performance of the car. The course materials, product function, control software are consistent.\u003c\/p\u003e\u003ch3\u003eFunctional Case Test Comparison (Superior Kit)\u003c\/h3\u003e\u003ctable\u003e\n\u003cthead\u003e\u003ctr\u003e\n\u003cth\u003eFunction\u003c\/th\u003e\n\u003cth\u003eRaspberry Pi 5 8GB\u003c\/th\u003e\n\u003cth\u003eRDK X5 8GB\u003c\/th\u003e\n\u003cth\u003eJetson Nano B01\u003c\/th\u003e\n\u003cth\u003eJetson Orin Nano SUPER\u003c\/th\u003e\n\u003c\/tr\u003e\u003c\/thead\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003eAI large model visual tracking\u003c\/td\u003e\n\u003ctd\u003e20fps\u003c\/td\u003e\n\u003ctd\u003e10fps\u003c\/td\u003e\n\u003ctd\u003e10fps\u003c\/td\u003e\n\u003ctd\u003e20fps\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eFace tracking\u003c\/td\u003e\n\u003ctd\u003e20fps\u003c\/td\u003e\n\u003ctd\u003e10fps\u003c\/td\u003e\n\u003ctd\u003e9fps\u003c\/td\u003e\n\u003ctd\u003e30fps\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eKCF object tracking\u003c\/td\u003e\n\u003ctd\u003e12fps\u003c\/td\u003e\n\u003ctd\u003e15fps\u003c\/td\u003e\n\u003ctd\u003e15fps\u003c\/td\u003e\n\u003ctd\u003e30fps\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eAprilTag machine code tracking\u003c\/td\u003e\n\u003ctd\u003e30fps\u003c\/td\u003e\n\u003ctd\u003e20fps\u003c\/td\u003e\n\u003ctd\u003e20fps\u003c\/td\u003e\n\u003ctd\u003e30fps\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eMediapipe\u003c\/td\u003e\n\u003ctd\u003e12fps\u003c\/td\u003e\n\u003ctd\u003e13fps\u003c\/td\u003e\n\u003ctd\u003e13fps\u003c\/td\u003e\n\u003ctd\u003e30fps\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eYOLOV11 Object detection\u003c\/td\u003e\n\u003ctd\u003e4fps\u003c\/td\u003e\n\u003ctd\u003e12fps\u003c\/td\u003e\n\u003ctd\u003e1fps\u003c\/td\u003e\n\u003ctd\u003e30fps\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eVisual autonomous driving offline model\u003c\/td\u003e\n\u003ctd\u003eNot support\u003c\/td\u003e\n\u003ctd\u003e22fps\u003c\/td\u003e\n\u003ctd\u003e5fps\u003c\/td\u003e\n\u003ctd\u003e25fps\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eAI large model fusion autonomous driving\u003c\/td\u003e\n\u003ctd\u003eNot support\u003c\/td\u003e\n\u003ctd\u003e18fps\u003c\/td\u003e\n\u003ctd\u003eNot support\u003c\/td\u003e\n\u003ctd\u003e25fps\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\u003ch3\u003eROS Functions (Highlights)\u003c\/h3\u003e\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003eLiDAR functions\u003c\/strong\u003e: high-precision TOF LiDAR integrated with encoder and IMU gyroscope data for mapping and navigation; supports multiple mapping algorithms and single-point\/multi-point navigation; controllable via the app; optimized repositioning and navigation to reduce positioning drift and improve stability and reliability.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eSupported mapping\/navigation components (as shown)\u003c\/strong\u003e: Gmapping LiDAR mapping; Cartographer LiDAR mapping; slam_toolbox LiDAR mapping; IMU dual LiDAR fusion filtering; TEB path planning dynamic obstacle avoidance; APP mapping navigation; repositioning mapping navigation.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eRoad network planning\u003c\/strong\u003e: labeled as NEW and shown as “Just for Jetson ORIN NANO version”.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eDepth camera functions\u003c\/strong\u003e (\u003cem\u003eOnly for Superior Kit\/Ultimate Kit\u003c\/em\u003e): 3D structured light depth camera outputs depth images and point cloud data; supports distance and volume measurement; can be combined with LiDAR to construct high-precision 3D color maps for improved perception and navigation. Examples shown include RTAB-Map 3D visual mapping navigation, wood block volume measurement, and edge detection.\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch3\u003eFunction Notes \/ Limitations (as stated)\u003c\/h3\u003e\u003cul\u003e\n\u003cli\u003eAutonomous driving: \u003cstrong\u003eRaspberry Pi version not support this function.\u003c\/strong\u003e\n\u003c\/li\u003e\n\u003cli\u003eRoad network planning: \u003cstrong\u003eRaspberry Pi and Jetson NANO 4GB version not support this function.\u003c\/strong\u003e\n\u003c\/li\u003e\n\u003cli\u003eSLAM track map navigation \/ track map application: shown with the note “Need purchase track map by yourself”; track map is not included.\u003c\/li\u003e\n\u003cli\u003eDeep distance Q\u0026amp;A: marked “Only for Superior Kit”.\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch2\u003eApplications\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003eROS2 teaching, classroom labs, and robotics curriculum projects\u003c\/li\u003e\n\u003cli\u003eSLAM mapping and navigation experiments (Gazebo\/RViz workflow)\u003c\/li\u003e\n\u003cli\u003eAutonomous vehicle algorithm verification on an Ackerman steering chassis (path planning, trajectory tracking, steering control)\u003c\/li\u003e\n\u003cli\u003eMachine vision projects: object detection and tracking, visual recognition, and visual\/voice interaction\u003c\/li\u003e\n\u003cli\u003eMulti-point navigation and road-network style route management (supported on specific master control configurations as noted)\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003eFor pre-sales configuration guidance (Standard\/Superior\/Ultimate kit selection) or integration help with ROS2 HUMBLE, contact support@rcdrone.top or visit https:\/\/rcdrone.top\/.\u003c\/p\u003e\u003ch2\u003eManuals\u003c\/h2\u003e\u003cp\u003e\u003ca href=\"https:\/\/www.yahboom.net\/study\/ROSMASTER-A1\" rel=\"noopener\" target=\"_blank\"\u003eTutorial link: ROSMASTER A1\u003c\/a\u003e\u003c\/p\u003e\u003ch2\u003eVideos\u003c\/h2\u003e\u003ciframe height=\"695\" src=\"https:\/\/www.youtube.com\/embed\/UivKESm4FiE\" title=\"Intention Prediction \u0026amp; Factory Inspection with an AI-Powered ROS 2 Robot\" width=\"1236\"\u003e\u003c\/iframe\u003e\u003ciframe height=\"751\" src=\"https:\/\/www.youtube.com\/embed\/YlwVoheE3XU\" title=\"AI Robot Car Now Talks Back! Yahboom ROSMASTER A1 + Large Model Tested + Ackerman steering chassis\" width=\"1335\"\u003e\u003c\/iframe\u003e\u003ch2 id=\"details\"\u003eDetails\u003c\/h2\u003e\u003cdiv class=\"details-gallery\"\u003e\n\u003cimg alt=\"Yahboom ROSMASTER A1 ROS2 robot car with Ackerman steering chassis and top-mounted sensor module\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/ROSMASTER-A1-AI-Large-Model-ROS2-Robot-with-Ackerman.jpg?v=1782056089\"\u003e\u003cp\u003eROSMASTER A1 is a ROS2 Humble Ackerman robot car platform built for SLAM, navigation, and embodied AI research.\u003c\/p\u003e\n\u003cimg alt=\"ROS2 Ackerman robot car using vision sensing in an indoor scene for navigation and voice interaction demo\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/ROSMASTER-A1-AI-Large-Model-ROS2-Robot-with-Ackerman_2b29b9b9-e375-4d99-b2ed-60059f5ad23c.jpg?v=1782056096\"\u003e\u003cp\u003eMultimodal interaction combines voice commands with visual perception for hands-free navigation tasks.\u003c\/p\u003e\n\u003cimg alt=\"Feature overview for ROSMASTER A1: multimodal large model, 3D depth vision option, TOF LiDAR, and AI vision stack\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/ROSMASTER-A1-AI-Large-Model-ROS2-Robot-with-Ackerman_31797f45-0d83-4158-bb7b-d3684e3e2720.jpg?v=1782056102\"\u003e\u003cp\u003eExpandable hardware options add depth vision and TOF LiDAR to support mapping, obstacle avoidance, and perception.\u003c\/p\u003e\n\u003cimg alt=\"Version configuration chart comparing standard, superior, and ultimate ROSMASTER A1 kit options and hardware modules\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/ROSMASTER-A1-AI-Large-Model-ROS2-Robot-with-Ackerman_4a70dd78-9685-4649-872f-9990943f193a.jpg?v=1782056108\"\u003e\u003cp\u003eChoose a kit configuration based on the compute platform and sensors needed for your ROS2 workload.\u003c\/p\u003e\n\u003cimg alt=\"Deploy AI large models screen with ROSMASTER A1 robot car and large model voice module callout\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/ROSMASTER-A1-AI-Large-Model-ROS2-Robot-with-Ackerman_5c2b5c98-7230-4b30-b7e6-3f24faf2f80f.jpg?v=1782056114\"\u003e\u003cp\u003eConnect to large-model services and integrate voice, text, and vision workflows for embodied intelligence projects.\u003c\/p\u003e\n\u003cimg alt=\"Built-in three AI large models page: language model, voice module interaction, and visual model examples\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/ROSMASTER-A1-AI-Large-Model-ROS2-Robot-with-Ackerman_fa0b1a16-0946-4203-b4da-605da7ea48c5.jpg?v=1782056121\"\u003e\u003cp\u003eThree modes—text, voice, and vision—support richer human-robot interaction and task understanding.\u003c\/p\u003e\n\u003cimg alt=\"Ackerman steering chassis layout highlighting 20kg servo, encoder motor, rubber tires, and bearings\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/ROSMASTER-A1-AI-Large-Model-ROS2-Robot-with-Ackerman_32738c50-9e43-4eb3-a8cf-03b01596d90f.jpg?v=1782056128\"\u003e\u003cp\u003eA vehicle-like Ackerman steering geometry pairs with a high-torque servo and encoder motor for precise control.\u003c\/p\u003e\n\u003cimg alt=\"Autonomous driving track graphic for Ackerman robot car with lane markings and traffic light scenario\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/ROSMASTER-A1-AI-Large-Model-ROS2-Robot-with-Ackerman_a10fb3c5-6553-4c57-8887-f770dfb2bfb2.jpg?v=1782056135\"\u003e\u003cp\u003eAckerman steering helps replicate real car behavior for lane tracking and control algorithm verification.\u003c\/p\u003e\n\u003cimg alt=\"Autonomous driving functions collage: road sign detection, lane keeping, autonomous parking, and steering decisions\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/ROSMASTER-A1-AI-Large-Model-ROS2-Robot-with-Ackerman_0a8d6a79-2b0a-4797-bf65-6d65fe821a85.jpg?v=1782056141\"\u003e\u003cp\u003eExample autonomy tasks include sign detection, lane keeping, parking behaviors, and route decision logic.\u003c\/p\u003e\n\u003cimg alt=\"Road network planning introduction with ROS2 map-style driving course and route planning layout\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/ROSMASTER-A1-AI-Large-Model-ROS2-Robot-with-Ackerman_b8956b5e-6f8c-45c2-b3e8-cc29f32867d6.jpg?v=1782056147\"\u003e\u003cp\u003eRoad-network planning supports structured navigation routes for track-style environments and waypoint travel.\u003c\/p\u003e\n\u003cimg alt=\"Creative multimodal applications page with camera-based understanding, visual tracking, and deep distance Q\u0026amp;A\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/ROSMASTER-A1-AI-Large-Model-ROS2-Robot-with-Ackerman_c9bfc4ca-bc5e-4ba1-b839-a62c08d1ae54.jpg?v=1782056153\"\u003e\u003cp\u003eHigher-level use cases blend perception and dialogue for interactive demos, tracking, and question answering.\u003c\/p\u003e\n\u003cimg alt=\"Embodied intelligent SLAM navigation page with mapping, multi-point navigation, and map search examples\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/ROSMASTER-A1-AI-Large-Model-ROS2-Robot-with-Ackerman_b2f4f72d-13e9-49d2-a5c1-c150583b1533.jpg?v=1782056160\"\u003e\u003cp\u003eSLAM workflows cover mapping, multi-point navigation, and map-based search for indoor autonomy experiments.\u003c\/p\u003e\n\u003cimg alt=\"High-level functions overview including environment understanding, intention recognition, and autonomous track map navigation\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/ROSMASTER-A1-AI-Large-Model-ROS2-Robot-with-Ackerman_56719963-a485-498b-a980-588a8b7d6240.jpg?v=1782056168\"\u003e\u003cp\u003eAdvanced behaviors build on environment understanding and command interpretation to execute navigation goals.\u003c\/p\u003e\n\u003cimg alt=\"ROS robot configuration selection suggestions comparing Raspberry Pi, RDK, and Jetson controller options\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/ROSMASTER-A1-AI-Large-Model-ROS2-Robot-with-Ackerman_7b216633-413b-4302-844d-26f83dd375fe.jpg?v=1782056174\"\u003e\u003cp\u003eController guidance helps match compute performance and interfaces to your sensor stack and ROS2 features.\u003c\/p\u003e\n\u003cimg alt=\"ROS functions overview for LiDAR mapping\/navigation and depth camera point cloud processing examples\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/ROSMASTER-A1-AI-Large-Model-ROS2-Robot-with-Ackerman_1e2e6f95-7c6e-45c3-81f2-fe747a0a73c0.jpg?v=1782056181\"\u003e\u003cp\u003eLiDAR mapping and depth sensing enable 2D\/3D perception, distance measurement, and navigation planning.\u003c\/p\u003e\n\u003cimg alt=\"AI vision functions sheet including YOLO model detection, visual recognition, interaction, and formation control\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/ROSMASTER-A1-AI-Large-Model-ROS2-Robot-with-Ackerman_f5776d83-dbec-4291-bb83-f9c984a23226.jpg?v=1782056188\"\u003e\u003cp\u003eA computer-vision toolkit supports object detection, recognition tasks, and interactive vision-based behaviors.\u003c\/p\u003e\n\u003cimg alt=\"ROS2 Humble support and RViz simulation interface graphic for ROSMASTER A1 robot model\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/ROSMASTER-A1-AI-Large-Model-ROS2-Robot-with-Ackerman_e0b8f10e-fdd9-4dec-8ed4-e8b7832d035e.jpg?v=1782056194\"\u003e\u003cp\u003eROS2 Humble compatibility and RViz simulation support faster development, testing, and visualization.\u003c\/p\u003e\n\u003cimg alt=\"LiDAR 360-degree all-around perception graphic with top-mounted LiDAR sensor on Ackerman robot car\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/ROSMASTER-A1-AI-Large-Model-ROS2-Robot-with-Ackerman_a0525590-a9a4-4930-a893-52567371041f.jpg?v=1782056200\"\u003e\u003cp\u003e360° LiDAR perception improves mapping reliability and obstacle awareness in dynamic environments.\u003c\/p\u003e\n\u003cimg alt=\"Yahboom ROSMASTER A1 ROS2 robot car with cross-platform control via phone app, computer, and USB wireless gamepad\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/ROSMASTER-A1-AI-Large-Model-ROS2-Robot-with-Ackerman_2348129f-b7da-445b-abb6-a54987e0008c.jpg?v=1782056207\"\u003e\u003cp\u003eThe ROSMASTER A1 supports cross-platform remote control through an iOS\/Android mapping app, a computer interface, or a standard USB wireless controller.\u003c\/p\u003e\n\u003cimg alt=\"Exploded view of Yahboom ROSMASTER A1 ROS2 robot chassis with battery pack, hub board, motors, and optional LiDAR\/camera.\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/ROSMASTER-A1-AI-Large-Model-ROS2-Robot-with-Ackerman_ff08d174-dd25-485e-bdd3-f0d08c90ea1f.jpg?v=1782056212\"\u003e\u003cp\u003eROSMASTER A1 uses a layered chassis with a 6000mAh battery pack, USB 3.0 hub expansion, and optional LiDAR or camera modules for flexible builds.\u003c\/p\u003e\n\u003cimg alt=\"Yahboom ROSMASTER A1 ROS2 robot camera options infographic with 2MP PTZ HD camera and 3D depth camera specs\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/ROSMASTER-A1-AI-Large-Model-ROS2-Robot-with-Ackerman_8e8afe7a-0803-4f8a-b0fb-ae21aec3cc34.jpg?v=1782056219\"\u003e\u003cp\u003eYahboom ROSMASTER A1 supports a 2MP PTZ HD camera with 360° horizontal and 180° vertical rotation or a 3D structured light depth camera with a 0.2–4 m range.\u003c\/p\u003e\n\u003cimg alt=\"Yahboom ROSMASTER A1 ROS2 robot car diagram showing TOF LiDAR placement and AI voice module with microphone and speaker\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/ROSMASTER-A1-AI-Large-Model-ROS2-Robot-with-Ackerman_c9aaec6c-5bfa-4c80-b411-0ada8bb60845.jpg?v=1782056225\"\u003e\u003cp\u003eThe Yahboom ROSMASTER A1 ROS2 robot integrates a TOF LiDAR on top and an AI voice module with microphone and speaker for navigation and voice interaction.\u003c\/p\u003e\n\u003cimg alt=\"Yahboom ROSMASTER A1 ROS2 robot control board with labeled ports, car chassis view, and 12.6V 6000mAh battery pack\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/ROSMASTER-A1-AI-Large-Model-ROS2-Robot-with-Ackerman_75ef584b-7a02-462a-b2ce-7598cd906e9e.jpg?v=1782056231\"\u003e\u003cp\u003eThe ROSMASTER A1 ROS2 robot kit pairs a ROS robot control board with a 12.6V 6000mAh Li-ion battery pack for powering the build.\u003c\/p\u003e\n\u003cimg alt=\"Yahboom ROSMASTER A1 ROS2 robot course outline screenshot with curriculum list and online learning platform preview\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/ROSMASTER-A1-AI-Large-Model-ROS2-Robot-with-Ackerman_95723018-720a-421d-ad96-94b1faf53e2c.jpg?v=1782056238\"\u003e\u003cp\u003eThe ROSMASTER A1 course outline lays out step-by-step ROS2 learning topics, from setup and basic control to mapping and navigation.\u003c\/p\u003e\n\u003cimg alt=\"Folder list of open-source code and tutorial resources for the Yahboom ROSMASTER A1 ROS2 robot kit\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/ROSMASTER-A1-AI-Large-Model-ROS2-Robot-with-Ackerman_4204511f-09ef-407b-9fb6-208df411ddf1.jpg?v=1782056245\"\u003e\u003cp\u003eOpen-source code and step-by-step tutorial folders help you get started with ROS2 setup, programming, and demos.\u003c\/p\u003e\n\u003cimg alt=\"Course library screenshot for Yahboom ROSMASTER A1 ROS2 robot, with depth camera, LiDAR, mapping, and ROS2 tutorials.\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/ROSMASTER-A1-AI-Large-Model-ROS2-Robot-with-Ackerman.png?v=1782056346\"\u003e\u003cp\u003eThe ROSMASTER A1 learning resources cover depth camera vision, LiDAR setup, mapping\/track expansion, and ROS2 basics in organized tutorial modules.\u003c\/p\u003e\n\u003cimg alt=\"Support resources for Yahboom ROSMASTER A1 ROS2 robot, listing video tutorials, 3D model files, and after-sales help\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/ROSMASTER-A1-AI-Large-Model-ROS2-Robot-with-Ackerman_814006c2-e40c-4187-87be-758d765c6527.png?v=1782056354\"\u003e\u003cp\u003eYahboom ROSMASTER A1 includes practical video tutorials, downloadable 3D model files, and after-sales technical support to help with setup and learning.\u003c\/p\u003e\n\u003cimg alt=\"ROSMASTER A1 vehicle comparison chart listing Ackermann steering chassis, RGBD camera options, size 27.8×20.1×18.2 cm\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/ROSMASTER-A1-AI-Large-Model-ROS2-Robot-with-Ackerman_1b026924-a0cc-4032-ad7a-c31ca8898535.jpg?v=1782056257\"\u003e\u003cp\u003eROSMASTER A1 uses an Ackermann steering chassis with 65 mm rubber wheels and supports RGBD camera and onboard computer options such as Raspberry Pi 5 or Jetson.\u003c\/p\u003e\n\u003cimg alt=\"ROSMASTER robot spec chart listing mecanum chassis, camera options, LiDAR choices, dimensions, and controller boards\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/ROSMASTER-A1-AI-Large-Model-ROS2-Robot-with-Ackerman_9348ca43-aa96-4d1a-a5f4-9a6148e4bc74.jpg?v=1782056263\"\u003e\u003cp\u003eROSMASTER A1 configuration options cover mecanum chassis hardware, RGBD camera and LiDAR selections, controller boards, and battery details.\u003c\/p\u003e\n\u003cimg alt=\"Specification table for Yahboom ROSMASTER A1 ROS2 robot with mecanum chassis, camera, LiDAR and control board options\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/ROSMASTER-A1-AI-Large-Model-ROS2-Robot-with-Ackerman_f2fdf8e9-cc48-4cd2-a669-b5e8a561ad6b.jpg?v=1782056269\"\u003e\u003cp\u003eROSMASTER A1 supports a mecanum-wheel chassis with optional RGBD camera, LiDAR, and multiple control board choices including Raspberry Pi and Jetson.\u003c\/p\u003e\n\u003cimg alt=\"ROSMASTER robot spec table with mecanum chassis, RGBD camera options, LiDAR module, and control board selections\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/ROSMASTER-A1-AI-Large-Model-ROS2-Robot-with-Ackerman_1214cd6b-571a-4b28-86ae-e9667e7c3b29.jpg?v=1782056275\"\u003e\u003cp\u003eThe ROSMASTER robot platform combines a mecanum-wheel chassis with options like an RGBD camera and LiDAR mapping modules for ROS2 development.\u003c\/p\u003e\n\u003cimg alt=\"Yahboom ROSMASTER A1 ROS2 robot product parameters sheet with dimension drawings and key specifications\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/ROSMASTER-A1-AI-Large-Model-ROS2-Robot-with-Ackerman_1b6ffa60-2e50-4b07-9fbf-b99c562ab612.jpg?v=1782056281\"\u003e\u003cp\u003eROSMASTER A1 specifications outline key details such as system version options, storage, battery working time, interfaces, and overall dimensions.\u003c\/p\u003e\n\u003cimg alt=\"Yahboom ROSMASTER A1 ROS2 robot car shipping list with chassis, controller board, OLED, motors, battery and cables\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/ROSMASTER-A1-AI-Large-Model-ROS2-Robot-with-Ackerman_6dfa0ea6-cb8d-41f4-9cf1-795662706d49.jpg?v=1782056288\"\u003e\u003cp\u003eThe ROSMASTER A1 kit includes the robot car chassis plus key accessories like the control expansion board, OLED display, encoder motors, battery, wireless handle, and connection cables for setup.\u003c\/p\u003e\n\u003cimg alt=\"Accessory list for Yahboom ROSMASTER A1 ROS2 robot kit showing LiDAR, camera modules, brackets, cables, and screw packs\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/ROSMASTER-A1-AI-Large-Model-ROS2-Robot-with-Ackerman_3009058b-c709-41e6-891a-70ded26958bc.jpg?v=1782056295\"\u003e\u003cp\u003eROSMASTER A1 accessory bundles list included LiDAR options, camera modules, adapter boards, mounting brackets, cables, and screw packs for different versions.\u003c\/p\u003e\n\u003c\/div\u003e","brand":"Yahboom","offers":[{"title":"Standard-without \/ RPi 5 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Orin NANO SUPER-8GB","offer_id":53126875480288,"sku":"3000200879-22","price":1150.98,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0643\/3210\/3904\/files\/ROSMASTER-A1-RobotCar.jpg?v=1782035671"},{"product_id":"yahboom-rosmaster-m1-robot","title":"Yahboom ROSMASTER M1 ROS2 Robot for SLAM \u0026 AI, Mecanum Drive, Jetson Nano\/Orin Nano SUPER\/RPi 5\/RDK X5","description":"\u003ch2\u003eOverview\u003c\/h2\u003e\u003cp\u003eYahboom ROSMASTER M1 is an AI large model \u003cstrong\u003eROS2 robot\u003c\/strong\u003e for robotics education, ROS research, and AI multimodal interaction experiments. It uses a Mecanum wheel chassis for 360° omnidirectional movement (lateral, diagonal, in-place rotation) and supports ROS2 HUMBLE on multiple master-control platforms including Raspberry Pi 5, RDK X5, Jetson Nano 4GB, Jetson Orin Nano 8G, and also lists Jetson Orin Nano SUPER and Jetson Nano B01.\u003c\/p\u003e\u003cp\u003eThe robot integrates multimodal perception hardware (3D depth camera, 2MP HD camera PTZ, TOF LiDAR, and an AI large model voice module) to support SLAM mapping\/navigation, visual recognition, path planning, and multimodal interaction. It adopts a dual-model inference architecture with a decision layer (task understanding\/planning) and an execution layer (action generation\/response), and supports dialogue interruption, dynamic feedback reasoning, and optional expansion with a RAG knowledge base.\u003c\/p\u003e\u003ch2\u003eKey Features\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003eMecanum omnidirectional drive chassis\u003c\/strong\u003e with 360° omnidirectional movement\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eHigh-torque 520 encoder metal motors\u003c\/strong\u003e (x4)\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eMulti-master platform compatibility:\u003c\/strong\u003e Raspberry Pi 5, RDK X5, Jetson Nano 4GB, Jetson Orin Nano 8G (also listed: Jetson Orin Nano SUPER, Jetson Nano B01)\u003c\/li\u003e\n\u003cli\u003e\u003cstrong\u003eROS2 HUMBLE compatible\u003c\/strong\u003e\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eMulti-sensor fusion perception:\u003c\/strong\u003e 3D depth camera, 2MP HD camera PTZ, TOF LiDAR, AI large model voice module + speaker\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eMultimodal large model capabilities:\u003c\/strong\u003e scalable RAG knowledge base, visual large language model, text large-scale language model, bimodal reasoning architecture, dynamic feedback reasoning\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eLiDAR precise perception:\u003c\/strong\u003e 360° omnidirectional perception, dynamic obstacle avoidance, fixed-point navigation, mapping navigation, path planning, road network planning\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003e3D depth vision functions:\u003c\/strong\u003e depth distance\/height\/volume calculation, 3D real-world mapping, deep edge detection, 3D point cloud recognition\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eAI vision stack listed:\u003c\/strong\u003e MediaPipe, OpenCV, YOLOv11\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eLearning resources:\u003c\/strong\u003e detailed courses and codes; tutorials and video tutorials with English subtitles\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch2\u003eSpecifications\u003c\/h2\u003e\u003ctable\u003e\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eModel\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eROSMASTER M1\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eRobot type\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eAI large model ROS2 robot (mecanum-wheel mobile robot)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eROS version\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eROS2 HUMBLE\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eChassis\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eMecanum wheel chassis\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eMotors\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e520 high-torque encoder metal motor x4\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eCameras\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e2MP HD camera PTZ; 3D depth camera (also listed as “2MP HD camera\/depth camera”)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eLiDAR\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eTOF high-performance LiDAR\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eVoice\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eAI large model voice module + speaker\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eBattery pack\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e12V 6000mAh high-capacity battery pack\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eStorage\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e128GB \/ 256GB\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eBody\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eAll-aluminum alloy body\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eMaster control platforms (listed)\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eRaspberry Pi 5; RDK X5; Jetson Nano 4GB; Jetson Orin Nano 8G; Jetson Orin Nano SUPER; Jetson Nano B01\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eDimensions\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e284.4 x 231.4 x 181.4 mm\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\u003c\/table\u003e\u003ch2\u003eApplications\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003eSLAM mapping and navigation; SLAM intelligent multi-point navigation; SLAM map object search\u003c\/li\u003e\n\u003cli\u003eAI visual recognition and visual interaction; scene understanding\u003c\/li\u003e\n\u003cli\u003ePath planning; fixed-point navigation; dynamic obstacle avoidance\u003c\/li\u003e\n\u003cli\u003eVoice interaction and intent inference; multimodal interaction experiments\u003c\/li\u003e\n\u003cli\u003eVisual tracking\/following; line tracking (“autonomous cruise”)\u003c\/li\u003e\n\u003cli\u003eMulti-robot synchronous motion control (as listed)\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003e\u003cstrong\u003eFunction notes:\u003c\/strong\u003e Road network planning is listed as not supported on Raspberry Pi and Jetson Nano B01 versions. Track-map road sign recognition \/ track-map navigation functions are listed as requiring a separate track map, and Raspberry Pi versions are listed as not supporting these track-map functions.\u003c\/p\u003e\u003cp\u003eFor pre-sales compatibility checks (master control platform, storage option, and function support), contact support@rcdrone.top or visit https:\/\/rcdrone.top\/.\u003c\/p\u003e\u003ch2\u003eManuals\u003c\/h2\u003e\u003ch3\u003eTutorials\u003c\/h3\u003e\u003cp\u003e\u003ca href=\"https:\/\/www.yahboom.net\/study\/ROSMASTER-M1\" rel=\"noopener\" target=\"_blank\"\u003eYahboom ROSMASTER M1 Tutorials\u003c\/a\u003e\u003c\/p\u003e\u003ch3\u003eVideos\u003c\/h3\u003e\u003ciframe height=\"695\" src=\"https:\/\/www.youtube.com\/embed\/XYDoEonBhhs\" title=\"ROSMASTER M1: Where AI LLM Meets SLAM (Full Capabilities Showcase)\" width=\"1236\"\u003e\u003c\/iframe\u003e\u003ciframe height=\"695\" src=\"https:\/\/www.youtube.com\/embed\/0K_WmyIJlLI\" title=\"The Most Advanced Interactive Robot? ROSMASTER M1 AI \u0026amp; SLAM Demo\" width=\"1236\"\u003e\u003c\/iframe\u003e\u003ch2 id=\"details\"\u003eDetails\u003c\/h2\u003e\u003cdiv class=\"details-gallery\"\u003e\n\u003cimg alt=\"Yahboom ROSMASTER M1 ROS2 robot car with mecanum wheels for omnidirectional movement\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/ROSMASTER-M1-AI-Large-Model-ROS2-Robot-with-Mecanum-Wheel.jpg?v=1782054787\"\u003e\u003cp\u003eROSMASTER M1 is a ROS2 HUMBLE mobile robot built for AI and robotics education with 360° mecanum-wheel mobility.\u003c\/p\u003e\n\u003cimg alt=\"ROSMASTER M1 ROS2 embodied-intelligence robot overview with SLAM, vision recognition, and voice interaction notes\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/ROSMASTER-M1-AI-Large-Model-ROS2-Robot-with-Mecanum-Wheel_4c7e781a-38fe-4912-a6ee-b81ebe05a8da.jpg?v=1782054793\"\u003e\u003cp\u003eMultimodal perception (camera, depth, LiDAR, and voice) supports SLAM mapping, navigation, and interactive experiments.\u003c\/p\u003e\n\u003cimg alt=\"Feature highlights for ROSMASTER M1: multimodal large model, LiDAR perception, 3D depth vision, and hardware stack\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/ROSMASTER-M1-AI-Large-Model-ROS2-Robot-with-Mecanum-Wheel_da00ac10-0985-4b2f-884a-2204403670ed.jpg?v=1782054808\"\u003e\u003cp\u003eA quick feature map of the platform’s core capabilities: multimodal reasoning, LiDAR navigation, depth vision, and AI vision tools.\u003c\/p\u003e\n\u003cimg alt=\"ROSMASTER M1 educational ROS robot benefits poster covering multimodal AI, navigation, and code resources\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/ROSMASTER-M1-AI-Large-Model-ROS2-Robot-with-Mecanum-Wheel_434673a3-4d14-41d9-976c-717b0a1bc20f.jpg?v=1782054814\"\u003e\u003cp\u003eDesigned for ROS developers who want an embodied-intelligence robot that’s easy to teach, test, and extend.\u003c\/p\u003e\n\u003cimg alt=\"Dual-model inference architecture and hardware configuration infographic for ROSMASTER M1 robot\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Yahboom-ROSMASTER-M1-ROS2-Robot.webp?v=1782055740\"\u003e\u003cp\u003eA two-layer pipeline separates task understanding from action execution, with dynamic feedback and interruption support.\u003c\/p\u003e\n\u003cimg alt=\"Comparison chart: ROSMASTER M1 camera, storage, master-control boards, and course resources vs other robots\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/ROSMASTER-M1-AI-Large-Model-ROS2-Robot-with-Mecanum-Wheel_3f76579c-ee0e-4e01-b8b3-340737d40a09.jpg?v=1782054829\"\u003e\u003cp\u003ePlatform options and learning materials are outlined to help choose the right configuration for your lab or classroom.\u003c\/p\u003e\n\u003cimg alt=\"Deploy AI large models on ROSMASTER M1: text generation, Q\u0026amp;A, voice assistant, and visual model examples\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/ROSMASTER-M1-AI-Large-Model-ROS2-Robot-with-Mecanum-Wheel_ab36f3b1-b380-46cc-81f4-4ad349a3a8e2.jpg?v=1782054835\"\u003e\u003cp\u003eRun LLM-style tasks such as Q\u0026amp;A, text generation, voice interaction, and visual understanding workflows.\u003c\/p\u003e\n\u003cimg alt=\"Multimodal visual model demos: scene understanding and visual tracking\/following with ROSMASTER M1 robot car\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/ROSMASTER-M1-AI-Large-Model-ROS2-Robot-with-Mecanum-Wheel_d80585e3-a6a7-42bf-bbf5-7a2f949d4a03.jpg?v=1782054841\"\u003e\u003cp\u003eVisual prompts can be used for scene understanding and object tracking in interactive robotics projects.\u003c\/p\u003e\n\u003cimg alt=\"Depth-distance Q\u0026amp;A demo and road sign recognition track-map feature for ROSMASTER M1 visual navigation\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/ROSMASTER-M1-AI-Large-Model-ROS2-Robot-with-Mecanum-Wheel_12d83efe-3670-4630-bb91-e65a45704748.jpg?v=1782054847\"\u003e\u003cp\u003eDepth data can be combined with vision to answer distance questions and support track-map driving features where available.\u003c\/p\u003e\n\u003cimg alt=\"Track map purchase prompt graphic for road-sign recognition and autonomous driving course accessories\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/ROSMASTER-M1-AI-Large-Model-ROS2-Robot-with-Mecanum-Wheel.webp?v=1782054852\"\u003e\u003cp\u003eTrack-map accessories can be added for road-sign recognition and related autonomous driving activities.\u003c\/p\u003e\n\u003cimg alt=\"Autonomous cruise demo with line tracking on a colored path using ROSMASTER M1 vision system\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Yahboom-ROSMASTER-M1-ROS2-Robot_1e9ebeb8-384c-47e8-aa49-f030ae3372a5.webp?v=1782055757\"\u003e\u003cp\u003eColor line tracking enables autonomous cruising along marked routes for classroom demos and robotics exercises.\u003c\/p\u003e\n\u003cimg alt=\"Embodied intelligent SLAM navigation poster with multi-point goals and environment perception examples\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/ROSMASTER-M1-AI-Large-Model-ROS2-Robot-with-Mecanum-Wheel_45903034-77c5-461e-b7d4-4300281b588a.jpg?v=1782054889\"\u003e\u003cp\u003eSLAM mapping and multi-point navigation workflows support planning routes across multiple target locations.\u003c\/p\u003e\n\u003cimg alt=\"SLAM map object search and fusion track-map navigation examples for ROSMASTER M1 robot\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/ROSMASTER-M1-AI-Large-Model-ROS2-Robot-with-Mecanum-Wheel_e88a773a-2a6c-486f-b77c-b6ab14d7e4fb.jpg?v=1782054896\"\u003e\u003cp\u003eVoice intent and map context can be used for object search tasks and higher-level navigation routines.\u003c\/p\u003e\n\u003cimg alt=\"Embodied intelligence high-level functions poster for long-term tasks combining vision, voice, and SLAM\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/ROSMASTER-M1-AI-Large-Model-ROS2-Robot-with-Mecanum-Wheel_37cad2a1-e7f9-43f9-b15d-528b0e9b14e4.jpg?v=1782054902\"\u003e\u003cp\u003eHigher-level behaviors combine perception and navigation to break down longer tasks into actionable steps.\u003c\/p\u003e\n\u003cimg alt=\"Context-aware response and autonomous driving track-map application poster for ROSMASTER M1\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/ROSMASTER-M1-AI-Large-Model-ROS2-Robot-with-Mecanum-Wheel_a5247413-d2fe-41f9-bf1a-ba4c7c8d4ae5.jpg?v=1782054908\"\u003e\u003cp\u003eContext-aware responses help the robot adapt to changing goals, with optional track-map driving activities.\u003c\/p\u003e\n\u003cimg alt=\"Full-stack AI large model course list graphic with continually updated materials and code topics\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/ROSMASTER-M1-AI-Large-Model-ROS2-Robot-with-Mecanum-Wheel_dcd18d64-cfc0-41ef-973f-56ff10f2d6c1.jpg?v=1782054914\"\u003e\u003cp\u003eCourse modules cover a wide range of AI + ROS learning topics, with code resources organized by function.\u003c\/p\u003e\n\u003cimg alt=\"ROS robot configuration selection recommendations comparing Standard Kit and Superior Kit options\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/ROSMASTER-M1-AI-Large-Model-ROS2-Robot-with-Mecanum-Wheel_b935ee9b-31e5-4a0c-8a35-1ab94243039b.jpg?v=1782054920\"\u003e\u003cp\u003eChoose between kit versions based on your preferred master-control platform and sensor configuration.\u003c\/p\u003e\n\u003cimg alt=\"Controller selection suggestions chart comparing Raspberry Pi, RDK X5, Jetson Nano, and Jetson Orin Nano SUPER\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/ROSMASTER-M1-AI-Large-Model-ROS2-Robot-with-Mecanum-Wheel_697525c7-1791-4aa9-8e03-37faa22fa17a.jpg?v=1782054926\"\u003e\u003cp\u003eController performance guidance helps match compute needs to your ROS2 and multimodal inference workload.\u003c\/p\u003e\n\u003cimg alt=\"ROS Key Functions introduction graphic listing LiDAR mapping, navigation, obstacle avoidance, and IMU fusion modes\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/ROSMASTER-M1-AI-Large-Model-ROS2-Robot-with-Mecanum-Wheel_a62a715e-af87-45ad-9464-0ef3636c40bf.jpg?v=1782054933\"\u003e\u003cp\u003eThe ROSMASTER M1’s LiDAR functions cover common ROS mapping options, navigation modes, and obstacle-avoidance features with IMU-assisted fusion.\u003c\/p\u003e\n\u003cimg alt=\"Depth camera functions infographic for Yahboom ROSMASTER M1 ROS2 robot, showing point cloud, distance, mapping, and edge detection.\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/ROSMASTER-M1-AI-Large-Model-ROS2-Robot-with-Mecanum-Wheel_6eb48e5c-3533-4b4d-884e-6797c5208453.jpg?v=1782054970\"\u003e\u003cp\u003eDepth camera support enables point cloud depth data, distance measurement, RTAB-Map 3D visual mapping navigation, volume measurement, and edge detection.\u003c\/p\u003e\n\u003cimg alt=\"YOLOv11 model detection slide showing segmentation, pose estimation, image classification, and object detection examples\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/ROSMASTER-M1-AI-Large-Model-ROS2-Robot-with-Mecanum-Wheel_0f1947c4-e1a9-4aaa-9621-cec900095bbc.jpg?v=1782054976\"\u003e\u003cp\u003eBuilt-in YOLOv11 vision examples cover image segmentation, pose estimation, image classification, and object detection for robotics tasks.\u003c\/p\u003e\n\u003cimg alt=\"AI visual recognition functions for Yahboom ROSMASTER M1, listing OpenCV\/MediaPipe features like gesture and color detection\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/ROSMASTER-M1-AI-Large-Model-ROS2-Robot-with-Mecanum-Wheel_f1ed4366-7b4a-4354-bcdf-29e1dbf7fdbe.jpg?v=1782054982\"\u003e\u003cp\u003eThe ROSMASTER M1 supports OpenCV and MediaPipe workflows for tasks like gesture, skeleton, fingertip tracking, 3D detection, and color recognition.\u003c\/p\u003e\n\u003cimg alt=\"Yahboom ROSMASTER M1 robot AI visual interaction functions list, including gesture, line, color, face and object tracking\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/ROSMASTER-M1-AI-Large-Model-ROS2-Robot-with-Mecanum-Wheel_6bd39219-8720-49f2-9cc7-487e4d878620.jpg?v=1782054988\"\u003e\u003cp\u003eThe ROSMASTER M1 supports AI visual interaction features such as gesture control, line and color tracking, face tracking, and object following.\u003c\/p\u003e\n\u003cimg alt=\"Yahboom ROSMASTER M1 ROS2 robot graphic showing multi-robot navigation, control, and formation interconnection modes\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/ROSMASTER-M1-AI-Large-Model-ROS2-Robot-with-Mecanum-Wheel_04e83df1-6850-4c0e-8ab0-e48115681f81.jpg?v=1782054993\"\u003e\u003cp\u003eThe Yahboom ROSMASTER M1 ROS2 setup supports multi-robot navigation, synchronized control from a single host, and formation driving.\u003c\/p\u003e\n\u003cimg alt=\"Yahboom ROSMASTER M1 ROS2 robot car graphic labeled Autonomous Driving with traffic light and turn-right sign\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/ROSMASTER-M1-AI-Large-Model-ROS2-Robot-with-Mecanum-Wheel_0981623c-3f16-4515-a00e-156f843df656.jpg?v=1782055000\"\u003e\u003cp\u003eThe Yahboom ROSMASTER M1 supports scenario-based autonomous driving practice in ROS, with a note that the Raspberry Pi version does not support this function.\u003c\/p\u003e\n\u003cimg alt=\"Yahboom ROSMASTER M1 robot car feature graphic showing road sign detection, lane keeping, autonomous parking, and steering decision\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/ROSMASTER-M1-AI-Large-Model-ROS2-Robot-with-Mecanum-Wheel_ad2a7972-3dde-4b42-89c9-87cb08ce5beb.jpg?v=1782055006\"\u003e\u003cp\u003eROSMASTER M1 supports road sign detection, lane keeping, autonomous parking, and steering decisions based on lane markings and traffic lights.\u003c\/p\u003e\n\u003cimg alt=\"Yahboom ROSMASTER M1 chassis diagram with four Mecanum wheels and 360° omnidirectional movement chart\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/ROSMASTER-M1-AI-Large-Model-ROS2-Robot-with-Mecanum-Wheel_26e9fc84-df34-4ac7-bf77-d0b1fdaa14ab.jpg?v=1782055012\"\u003e\u003cp\u003eThe ROSMASTER M1 aluminum-alloy chassis uses four Mecanum wheels to support 360° omnidirectional movement, including lateral and diagonal travel.\u003c\/p\u003e\n\u003cimg alt=\"Graphic stating “Developed using ROS2 system” with ROS2 Humble Hawksbill logo and brief product text.\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/ROSMASTER-M1-AI-Large-Model-ROS2-Robot-with-Mecanum-Wheel_154e03d0-6f0b-40e5-ac19-0ffc8e562f13.jpg?v=1782055017\"\u003e\u003cp\u003eYahboom ROSMASTER M1 is developed using the ROS2 system and references the ROS2 Humble Hawksbill version.\u003c\/p\u003e\n\u003cimg alt=\"Yahboom ROSMASTER M1 ROS2 robot with RViz simulation screen showing 3D model visualization and sensor data tools\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/ROSMASTER-M1-AI-Large-Model-ROS2-Robot-with-Mecanum-Wheel_5ab3c096-db5d-400b-98d0-05aec63657d3.jpg?v=1782055024\"\u003e\u003cp\u003eROSMASTER M1 supports RViz simulation for visualizing radar and odometry data, camera feeds, map building, and SLAM planning.\u003c\/p\u003e\n\u003cimg alt=\"Yahboom ROSMASTER M1 ROS2 robot with top-mounted LiDAR sensor for 360° all-around perception\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/ROSMASTER-M1-AI-Large-Model-ROS2-Robot-with-Mecanum-Wheel_2928fb92-2803-4df6-b7cd-beeaf19170b1.jpg?v=1782055030\"\u003e\u003cp\u003eThe ROSMASTER M1 integrates a top-mounted LiDAR for 360° scanning to support mapping and navigation tasks.\u003c\/p\u003e\n\u003cimg alt=\"Yahboom ROSMASTER M1 ROS2 robot control options: computer terminal, iOS\/Android mapping app, and USB wireless gamepad\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/ROSMASTER-M1-AI-Large-Model-ROS2-Robot-with-Mecanum-Wheel_09edc49e-a3f2-497f-b08f-f9867407b9d3.jpg?v=1782055036\"\u003e\u003cp\u003eThe ROSMASTER M1 supports cross-platform control via a computer terminal, a mapping\/navigation mobile app, or a standard USB wireless controller.\u003c\/p\u003e\n\u003cimg alt=\"Yahboom ROSMASTER M1 ROS2 robot product structure diagram with lidar, PTZ camera, OLED screen, and expansion boards\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/ROSMASTER-M1-AI-Large-Model-ROS2-Robot-with-Mecanum-Wheel_90665d70-201f-43f7-a0b6-3b2a25870bf2.jpg?v=1782055042\"\u003e\u003cp\u003eThe ROSMASTER M1 robot layout includes lidar, an optional PTZ camera and ROS master, plus a USB 3.0 hub and 6000mAh battery pack for clean integration.\u003c\/p\u003e\n\u003cimg alt=\"3D structured light depth camera superior kit with USB Type‑C, 0.2–4 m range and 73.8° horizontal FOV\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/ROSMASTER-M1-AI-Large-Model-ROS2-Robot-with-Mecanum-Wheel_819cd55f-4d81-46fc-ad1b-c1620b64d0d0.jpg?v=1782055048\"\u003e\u003cp\u003eThe 3D structured light depth camera kit connects over USB Type‑C and supports a 0.2–4 m working distance with up to a 73.8° horizontal field of view for mapping and navigation projects.\u003c\/p\u003e\n\u003cimg alt=\"TOF LiDAR T-MINI Plus module mounted on Yahboom ROSMASTER M1 ROS2 robot, with key specs table\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/ROSMASTER-M1-AI-Large-Model-ROS2-Robot-with-Mecanum-Wheel_8dbe5fac-53b7-4746-a01c-681c5dce2b7e.jpg?v=1782055054\"\u003e\u003cp\u003eThe Standard\/Superior Kit includes a T-MINI Plus TOF LiDAR (5V, 300mA) with 0.05–12m ranging and 0–360° scanning.\u003c\/p\u003e\n\u003cimg alt=\"AI large model voice module board with MEMS microphones, USB-C interface, and external speaker, with key specs listed\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/ROSMASTER-M1-AI-Large-Model-ROS2-Robot-with-Mecanum-Wheel_6166c4c5-22c4-4f66-904d-48f7d9625d83.jpg?v=1782055060\"\u003e\u003cp\u003eThe Yahboom ROSMASTER M1 voice module pairs dual MEMS microphones with a compact speaker and USB Type‑C interface for 5V voice input and playback.\u003c\/p\u003e\n\u003cimg alt=\"ROS robot control board spec sheet with ports, Type‑C DC 12V input, and 85×56 mm board dimensions\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/ROSMASTER-M1-AI-Large-Model-ROS2-Robot-with-Mecanum-Wheel_32353d92-f971-466b-bc27-9929a0008223.jpg?v=1782055066\"\u003e\u003cp\u003eThe Yahboom ROSMASTER M1 ROS2 robot control board uses a Type‑C DC 12V power input and provides DC 12V\/5V outputs for driving motors and peripherals.\u003c\/p\u003e\n\u003cimg alt=\"12.6V 6000mAh Li-ion battery pack with spec table, shown as the power pack for a robot chassis\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/ROSMASTER-M1-AI-Large-Model-ROS2-Robot-with-Mecanum-Wheel_01fa757a-f980-45b4-8ae8-f434146561e7.jpg?v=1782055072\"\u003e\u003cp\u003eThe ROSMASTER M1 uses a 12.6V 6000mAh lithium-ion battery pack with built-in protection features and a compact pack size for easy installation.\u003c\/p\u003e\n\u003cimg alt=\"ROSMASTER M1 course syllabus graphic showing robot programming topics and tutorial link on a laptop screen\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/ROSMASTER-M1-AI-Large-Model-ROS2-Robot-with-Mecanum-Wheel.png?v=1782055189\"\u003e\u003cp\u003eThe ROSMASTER M1 course syllabus outlines lessons from setup and PID calibration to vision tasks like QR recognition, lane detection, and color tracking.\u003c\/p\u003e\n\u003cimg alt=\"Feature list for Yahboom ROSMASTER M1 ROS2 robot, covering LiDAR mapping, navigation modes, and voice\/chassis control\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/ROSMASTER-M1-AI-Large-Model-ROS2-Robot-with-Mecanum-Wheel_d38ec001-5595-4fb5-a71a-d97809934332.png?v=1782055196\"\u003e\u003cp\u003eThe Yahboom ROSMASTER M1 ROS2 robot supports LiDAR mapping and navigation functions alongside chassis and voice-control options for development and testing.\u003c\/p\u003e\n\u003cimg alt=\"Screenshot of course curriculum listing YOLOv11 development, ROS2, Linux, Docker, and image processing modules\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/ROSMASTER-M1-AI-Large-Model-ROS2-Robot-with-Mecanum-Wheel_4a15f1ea-edab-42cf-854f-b79cb19e921c.png?v=1782055201\"\u003e\u003cp\u003eThe ROSMASTER M1 ROS2 robot package includes a structured curriculum covering YOLOv11 development, ROS2 basics, Linux, Docker, and image processing topics.\u003c\/p\u003e\n\u003cimg alt=\"Screenshot of Yahboom ROSMASTER M1 ROS2 tutorials and code folders, including AI model basics and vision course files\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/ROSMASTER-M1-AI-Large-Model-ROS2-Robot-with-Mecanum-Wheel_f2b762b2-7299-498a-b575-c4070f0b29da.jpg?v=1782055085\"\u003e\u003cp\u003eYahboom ROSMASTER M1 ROS2 tutorials and code resources are organized into folders for AI model basics, development, and vision courses.\u003c\/p\u003e\n\u003cimg alt=\"Course outline graphic for Yahboom ROSMASTER M1 ROS2 robot, covering LiDAR mapping, app navigation, AI and ROS2 tutorials\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/ROSMASTER-M1-AI-Large-Model-ROS2-Robot-with-Mecanum-Wheel_7b79e533-d3d0-4287-ba0a-0f2152acd362.jpg?v=1782055091\"\u003e\u003cp\u003eThe ROSMASTER M1 learning materials cover LiDAR mapping and navigation, mobile app control, AI tutorials, and ROS2 basics with English subtitles.\u003c\/p\u003e\n\u003cimg alt=\"Yahboom ROSMASTER M1 support page listing video tutorials, 3D model file download, and after-sales technical help\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/ROSMASTER-M1-AI-Large-Model-ROS2-Robot-with-Mecanum-Wheel_834068c3-b2b7-42f0-a565-cde3863186b1.jpg?v=1782055097\"\u003e\u003cp\u003eYahboom ROSMASTER M1 includes accompanying video tutorials, a 3D model file download, and access to technical support resources.\u003c\/p\u003e\n\u003cimg alt=\"ROSMASTER series vehicle selection comparison chart listing chassis, camera options, control board, battery, size and weight\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/ROSMASTER-M1-AI-Large-Model-ROS2-Robot-with-Mecanum-Wheel_cf0f7187-4baa-4b7e-93ac-e93b7af2c750.jpg?v=1782055103\"\u003e\u003cp\u003eROSMASTER series specs are compared across key areas like chassis type, RGBD camera options, display, control board, and battery capacity.\u003c\/p\u003e\n\u003cimg alt=\"ROSMASTER M1 ROS2 robot spec table showing mecanum chassis, 80mm wheels, 4×520 geared motors, and LiDAR options\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/ROSMASTER-M1-AI-Large-Model-ROS2-Robot-with-Mecanum-Wheel_509299d4-ed46-4a31-ad16-249f3c0e0aab.jpg?v=1782055109\"\u003e\u003cp\u003eROSMASTER M1 uses a mecanum-wheel chassis with 80mm wheels, four 520 geared motors (1:56), and optional T-MINI PLUS or SLAM C1 LiDAR support.\u003c\/p\u003e\n\u003cimg alt=\"ROSMASTER robot feature chart listing mecanum chassis, 80mm wheels, 520 geared motors, optional LiDAR, and 12.6V 6000mAh battery\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/ROSMASTER-M1-AI-Large-Model-ROS2-Robot-with-Mecanum-Wheel_bb36be00-308b-404c-ab25-1b55d3f5a0c2.jpg?v=1782055114\"\u003e\u003cp\u003eThe ROSMASTER platform pairs a mecanum wheel chassis and 520 geared motors with options like RGBD\/depth camera selection, LiDAR, and a 12.6V 6000mAh battery.\u003c\/p\u003e\n\u003cimg alt=\"ROSMASTER M3 Pro robot specification chart with mecanum wheels, 6-DOF arm, LiDAR, and camera options\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/ROSMASTER-M1-AI-Large-Model-ROS2-Robot-with-Mecanum-Wheel_023eb293-2704-498b-87fe-f2cbd5b669f9.jpg?v=1782055120\"\u003e\u003cp\u003eROSMASTER M3 Pro features an 80mm mecanum-wheel chassis, 4× 520 geared motors (1:56), dual LiDAR, and a 6-DOF robotic arm, with control board options including Raspberry Pi 5 and Jetson.\u003c\/p\u003e\n\u003cimg alt=\"Yahboom ROSMASTER M1 ROS2 robot product parameters sheet with dimensions diagram and key specifications table\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/ROSMASTER-M1-AI-Large-Model-ROS2-Robot-with-Mecanum-Wheel_0b73efe2-5f4b-4f0a-b16d-9706fe24db99.jpg?v=1782055127\"\u003e\u003cp\u003eROSMASTER M1 ROS2 robot specifications list overall dimensions along with system, storage, and power details for planning integration.\u003c\/p\u003e\n\u003cimg alt=\"Yahboom ROSMASTER M1 ROS2 robot shipping list with chassis, control board, OLED, motors, wheels, battery, and cables\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/ROSMASTER-M1-AI-Large-Model-ROS2-Robot-with-Mecanum-Wheel_98340ef2-dbcb-4c5b-a055-79784fd30316.png?v=1782055218\"\u003e\u003cp\u003eThe ROSMASTER M1 kit includes the robot chassis, control board with OLED, encoder motors with mecanum wheels, battery pack, charger, and essential cables and tools.\u003c\/p\u003e\n\u003cimg alt=\"Accessory list for Yahboom ROSMASTER M1 ROS2 robot kit, showing LiDAR, cameras, Type‑C cables, screws and mounts.\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/ROSMASTER-M1-AI-Large-Model-ROS2-Robot-with-Mecanum-Wheel_2e4fb6a7-d619-4a42-b9a1-cc833b69ee4e.png?v=1782055224\"\u003e\u003cp\u003eThe ROSMASTER M1 accessory set includes a T-MINI PLUS LiDAR, camera options, Type-C cables, mounting brackets, and screw packs for assembly.\u003c\/p\u003e\n\u003cimg alt=\"Accessory list for Yahboom ROSMASTER M1 ROS2 robot kit, showing optional Jetson\/Raspberry Pi boards, cables, cooling, and storage.\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/ROSMASTER-M1-AI-Large-Model-ROS2-Robot-with-Mecanum-Wheel_cb756b05-a9e1-405c-af1e-c42daa9cb560.png?v=1782055231\"\u003e\u003cp\u003eThe ROSMASTER M1 ROS2 robot accessory list includes optional Jetson or Raspberry Pi boards, cooling parts, power\/data cables, and 128GB\/256GB storage options.\u003c\/p\u003e\n\u003c\/div\u003e","brand":"Yahboom","offers":[{"title":"Standard-without \/ RPi 5 8G","offer_id":53126885736672,"sku":"3000200901-1","price":413.88,"currency_code":"USD","in_stock":true},{"title":"Standard-without \/ NANO 4GB SUB","offer_id":53126885769440,"sku":"3000200901-2","price":425.58,"currency_code":"USD","in_stock":true},{"title":"Standard-without \/ RDK X5 8G","offer_id":53126885802208,"sku":"3000200901-3","price":11704.5,"currency_code":"USD","in_stock":true},{"title":"Standard-without \/ Orin NANO 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SUPER-8GB","offer_id":53126886228192,"sku":"3000200901-16","price":1186.08,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0643\/3210\/3904\/files\/Yahboom_ROSMASTER_M1_AI_LLM_ROS2_robot_car.jpg?v=1782035932"},{"product_id":"rosmaster-m3-robot","title":"Yahboom ROSMASTER M3 ROS2 AI Large Model Robot Car w\/ Mecanum Wheels for Orin Nano\/NX SUPER, RDK X5, Pi 5","description":"\u003ch2\u003eOverview\u003c\/h2\u003e\u003cp\u003eThe Yahboom ROSMASTER M3 is a ROS2 robot car platform designed for Jetson Orin Nano\/Orin NX SUPER, Raspberry Pi 5, and RDK X5. It integrates multimodal AI (text\/vision\/voice) with SLAM navigation, and features a Mecanum wheel chassis with a pendulum-style independent suspension structure for 360° omnidirectional movement. Depending on configuration, it supports optional single\/dual TOF LiDAR and uses a DaBai DCW2 depth camera for 3D vision applications.\u003c\/p\u003e\u003ch2\u003eKey Features\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003eAI multimodal large language model applications: semantic understanding, speech dialogue, and scene understanding\u003c\/li\u003e\n\u003cli\u003eDify workflow development platform support for developing and deploying large-model workflows\u003c\/li\u003e\n\u003cli\u003eDual-model inference architecture with dynamic feedback inference and conversation interruption support\u003c\/li\u003e\n\u003cli\u003eLiDAR + encoder + IMU (gyroscope) fusion for mapping and navigation; supports multiple mapping algorithms\u003c\/li\u003e\n\u003cli\u003eDaBai DCW2 depth camera: depth image + point cloud for 3D vision mapping, measurement, and recognition\u003c\/li\u003e\n\u003cli\u003eProfessional-grade Mecanum wheels + pendulum suspension to reduce wheel slip impact on encoder recognition and reduce odometer error\u003c\/li\u003e\n\u003cli\u003eIntegrated RGB headlights\/LED strip with flowing, breathing, and marquee lighting effects; customizable colors\/brightness\u003c\/li\u003e\n\u003cli\u003eAI vision stack support: OpenCV \/ MediaPipe \/ YOLOv11; includes functions such as gesture recognition, QR code recognition, pose estimation, image segmentation, and object detection\u003c\/li\u003e\n\u003cli\u003eMulti-robot formation and interconnection control: multi-robot navigation and dynamic obstacle avoidance on the same map; multiple robots controlled by one host\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch2\u003eSpecifications\u003c\/h2\u003e\u003ctable\u003e\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003eRobot size\u003c\/td\u003e\n\u003ctd\u003e276.97 x 212.4 x 199.18 mm\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eChassis\u003c\/td\u003e\n\u003ctd\u003eMecanum wheel chassis (omnidirectional movement)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eSuspension\u003c\/td\u003e\n\u003ctd\u003ePendulum independent suspension structure\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eDepth camera\u003c\/td\u003e\n\u003ctd\u003eDaBai DCW2 depth camera\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eLiDAR\u003c\/td\u003e\n\u003ctd\u003eT-MINI PLUS LiDAR (optional single\/dual TOF LiDAR; dual point cloud fusion is for Ultimate Version)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eLighting\u003c\/td\u003e\n\u003ctd\u003eIntegrated RGB headlights\/LED strip\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eBattery\u003c\/td\u003e\n\u003ctd\u003e6000mAh battery pack\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eOptional display\u003c\/td\u003e\n\u003ctd\u003e7-inch Display (optional; depends on version)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eOS \/ ROS (by controller)\u003c\/td\u003e\n\u003ctd\u003eRaspberry Pi OS + Docker + ROS2 Humble; Ubuntu 22.04 + ROS2 Humble; Ubuntu 22.04 LTS + ROS2 Humble\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eStorage (by configuration)\u003c\/td\u003e\n\u003ctd\u003e128GB \/ 256GB (e.g., 128GB TF card; 256GB SSD)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\u003c\/table\u003e\u003ch2\u003eVersion Options (Configuration Selection)\u003c\/h2\u003e\u003ctable\u003e\n\u003cthead\u003e\u003ctr\u003e\n\u003cth\u003eItem\u003c\/th\u003e\n\u003cth\u003eStandard Kit\u003c\/th\u003e\n\u003cth\u003eSuperior Kit\u003c\/th\u003e\n\u003cth\u003eUltimate Version\u003c\/th\u003e\n\u003c\/tr\u003e\u003c\/thead\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003eSupported main control\u003c\/td\u003e\n\u003ctd\u003eRaspberry Pi 5 8GB; RDK X5 8GB; ORIN-NANO-8GB\u003c\/td\u003e\n\u003ctd\u003eRaspberry Pi 5 8GB; ORIN-NANO-8GB; ORIN-NX-8GB\u003c\/td\u003e\n\u003ctd\u003eRaspberry Pi 5 8GB; ORIN-NANO-8GB; ORIN-NX-8GB; ORIN-NX-16GB\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eVoice module\u003c\/td\u003e\n\u003ctd colspan=\"3\"\u003eAll versions include AI large model voice module\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eCamera\u003c\/td\u003e\n\u003ctd\u003eDaBai DCW2 Depth Camera\u003c\/td\u003e\n\u003ctd\u003eDaBai DCW2 Depth Camera\u003c\/td\u003e\n\u003ctd\u003eDaBai DCW2 Depth Camera\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eLiDAR\u003c\/td\u003e\n\u003ctd\u003eT-MINI PLUS LiDAR\u003c\/td\u003e\n\u003ctd\u003eT-MINI PLUS LiDAR\u003c\/td\u003e\n\u003ctd\u003eT-MINI PLUS LiDAR *2\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eDisplay\u003c\/td\u003e\n\u003ctd\u003e\/\u003c\/td\u003e\n\u003ctd\u003e7-inch Display\u003c\/td\u003e\n\u003ctd\u003e7-inch Display\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\u003cp\u003e\u003cstrong\u003eNote:\u003c\/strong\u003e Only the Ultimate version is configured with Dual T-mini Plus LiDARs.\u003c\/p\u003e\u003ch2\u003eController Selection Suggestions (Reference)\u003c\/h2\u003e\u003cp\u003eTo improve large-model operation smoothness and functional results, selecting Jetson Orin Nano\/NX SUPER is recommended. If choosing a version without a board, prepare a Raspberry Pi 5 with at least 8GB of RAM.\u003c\/p\u003e\u003ctable\u003e\n\u003cthead\u003e\u003ctr\u003e\n\u003cth\u003eController\u003c\/th\u003e\n\u003cth\u003eComputing power\u003c\/th\u003e\n\u003cth\u003eCPU\u003c\/th\u003e\n\u003cth\u003eGPU\u003c\/th\u003e\n\u003cth\u003eRAM\u003c\/th\u003e\n\u003cth\u003eStorage\u003c\/th\u003e\n\u003cth\u003ePower\u003c\/th\u003e\n\u003cth\u003eProvided ROS system\u003c\/th\u003e\n\u003c\/tr\u003e\u003c\/thead\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003eRaspberry Pi 5 8GB\u003c\/td\u003e\n\u003ctd\u003eApproximately 0.5 TFLOPS (FP16)\u003c\/td\u003e\n\u003ctd\u003eCortex-A76\u003c\/td\u003e\n\u003ctd\u003eVideoCore VII\u003c\/td\u003e\n\u003ctd\u003e8GB\u003c\/td\u003e\n\u003ctd\u003e128GB TF card\u003c\/td\u003e\n\u003ctd\u003e10W\u003c\/td\u003e\n\u003ctd\u003eRaspberry Pi OS + Docker + ROS2 Humble\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eRDK X5 8GB\u003c\/td\u003e\n\u003ctd\u003e10 TOPS\u003c\/td\u003e\n\u003ctd\u003e8-core Cortex-A55 @ 1.5GHz\u003c\/td\u003e\n\u003ctd\u003e32Gflops\u003c\/td\u003e\n\u003ctd\u003e8GB\u003c\/td\u003e\n\u003ctd\u003e\/\u003c\/td\u003e\n\u003ctd\u003e25W\u003c\/td\u003e\n\u003ctd\u003eUbuntu 22.04 + ROS2 Humble\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eJetson Orin Nano SUPER 8GB\u003c\/td\u003e\n\u003ctd\u003e67 TOPS\u003c\/td\u003e\n\u003ctd\u003e6-core Arm Cortex-A78AE v8.2 64-bit CPU\u003cbr\u003e1.5MB L2 + 4MB L3\u003c\/td\u003e\n\u003ctd\u003e1024-core NVIDIA Ampere architecture GPU with 32 Tensor Cores\u003c\/td\u003e\n\u003ctd\u003e8GB 128-bit LPDDR5 102 GB\/s\u003c\/td\u003e\n\u003ctd\u003e256GB SSD\u003c\/td\u003e\n\u003ctd\u003e7W, 15W, 25W\u003c\/td\u003e\n\u003ctd\u003eUbuntu 22.04 LTS + ROS2 Humble\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eJetson Orin NX SUPER 8GB\u003c\/td\u003e\n\u003ctd\u003e117 TOPS\u003c\/td\u003e\n\u003ctd\u003e6-core NVIDIA Arm Cortex-A78AE v8.2 64-bit CPU\u003cbr\u003e1.5MB L2 + 4MB L3\u003c\/td\u003e\n\u003ctd\u003e1024-core NVIDIA Ampere architecture GPU with 32 Tensor Cores\u003c\/td\u003e\n\u003ctd\u003e8GB 128-bit LPDDR5 102 GB\/s\u003c\/td\u003e\n\u003ctd\u003e256GB SSD\u003c\/td\u003e\n\u003ctd\u003e10W, 15W, 25W, 40W\u003c\/td\u003e\n\u003ctd\u003eUbuntu 22.04 LTS + ROS2 Humble\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eJetson Orin NX SUPER 16GB\u003c\/td\u003e\n\u003ctd\u003e157 TOPS\u003c\/td\u003e\n\u003ctd\u003e8-core NVIDIA Arm Cortex-A78AE v8.2 64-bit CPU\u003cbr\u003e2MB L2 + 4MB L3\u003c\/td\u003e\n\u003ctd\u003e1024-core NVIDIA Ampere architecture GPU with 32 Tensor Cores\u003c\/td\u003e\n\u003ctd\u003e16GB 128-bit LPDDR5 102 GB\/s\u003c\/td\u003e\n\u003ctd\u003e256GB SSD\u003c\/td\u003e\n\u003ctd\u003e10W, 15W, 25W, 40W\u003c\/td\u003e\n\u003ctd\u003eUbuntu 22.04 LTS + ROS2 Humble\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\u003ch2\u003ePerformance Reference (Functional Case Test Comparison)\u003c\/h2\u003e\u003ctable\u003e\n\u003cthead\u003e\u003ctr\u003e\n\u003cth\u003eTest item\u003c\/th\u003e\n\u003cth\u003eRaspberry Pi 5 8GB\u003c\/th\u003e\n\u003cth\u003eRDK X5 8GB\u003c\/th\u003e\n\u003cth\u003eOrin Nano SUPER 8GB\u003c\/th\u003e\n\u003cth\u003eOrin NX SUPER 8GB\u003c\/th\u003e\n\u003cth\u003eOrin NX SUPER 16GB\u003c\/th\u003e\n\u003c\/tr\u003e\u003c\/thead\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003eYOLO V11 Object detection\u003c\/td\u003e\n\u003ctd\u003e4fps\u003c\/td\u003e\n\u003ctd\u003e12fps\u003c\/td\u003e\n\u003ctd\u003e30fps\u003c\/td\u003e\n\u003ctd\u003e30fps\u003c\/td\u003e\n\u003ctd\u003e30fps\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eMediapipe\u003c\/td\u003e\n\u003ctd\u003e12fps\u003c\/td\u003e\n\u003ctd\u003e13fps\u003c\/td\u003e\n\u003ctd\u003e30fps\u003c\/td\u003e\n\u003ctd\u003e30fps\u003c\/td\u003e\n\u003ctd\u003e30fps\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eAprilTag machine code tracking\u003c\/td\u003e\n\u003ctd\u003e30fps\u003c\/td\u003e\n\u003ctd\u003e20fps\u003c\/td\u003e\n\u003ctd\u003e30fps\u003c\/td\u003e\n\u003ctd\u003e30fps\u003c\/td\u003e\n\u003ctd\u003e30fps\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eKCF object tracking\u003c\/td\u003e\n\u003ctd\u003e12fps\u003c\/td\u003e\n\u003ctd\u003e15fps\u003c\/td\u003e\n\u003ctd\u003e30fps\u003c\/td\u003e\n\u003ctd\u003e30fps\u003c\/td\u003e\n\u003ctd\u003e30fps\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eAI large model visual tracking\u003c\/td\u003e\n\u003ctd\u003e20fps\u003c\/td\u003e\n\u003ctd\u003e10fps\u003c\/td\u003e\n\u003ctd\u003e20fps\u003c\/td\u003e\n\u003ctd\u003e30fps\u003c\/td\u003e\n\u003ctd\u003e30fps\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eVisual autonomous driving (offline model)\u003c\/td\u003e\n\u003ctd\u003eNot support\u003c\/td\u003e\n\u003ctd\u003e22fps\u003c\/td\u003e\n\u003ctd\u003e25fps\u003c\/td\u003e\n\u003ctd\u003e30fps\u003c\/td\u003e\n\u003ctd\u003e30fps\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eAI large model fusion autonomous driving\u003c\/td\u003e\n\u003ctd\u003eNot support\u003c\/td\u003e\n\u003ctd\u003e18fps\u003c\/td\u003e\n\u003ctd\u003e25fps\u003c\/td\u003e\n\u003ctd\u003e30fps\u003c\/td\u003e\n\u003ctd\u003e30fps\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\u003ch2\u003eFunctions (LiDAR \/ Depth Camera \/ Vision)\u003c\/h2\u003e\u003ch3\u003eLiDAR Functions\u003c\/h3\u003e\u003cul\u003e\n\u003cli\u003eHigh-precision TOF LiDAR with encoder and IMU (gyroscope) fusion data for high-precision mapping and navigation\u003c\/li\u003e\n\u003cli\u003eSupports multiple mapping algorithms and Archive Mapping\u003c\/li\u003e\n\u003cli\u003eSupports single-point and multi-point navigation; can be operated via an APP\u003c\/li\u003e\n\u003cli\u003eRelocation navigation technology reduces positioning drift, improving navigation stability and reliability\u003c\/li\u003e\n\u003cli\u003eMapping and navigation modes shown: Gmapping LiDAR mapping, Cartographer LiDAR mapping, slam_toolbox LiDAR mapping, IMU LiDAR fusion filtering, APP mapping navigation\u003c\/li\u003e\n\u003cli\u003eExample behaviors shown: LiDAR obstacle avoidance, LiDAR following, LiDAR guardian, road network planning\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch3\u003eDepth Camera Functions\u003c\/h3\u003e\u003cul\u003e\n\u003cli\u003e3D structured light depth camera generating depth images and point cloud data\u003c\/li\u003e\n\u003cli\u003eDepth distance and volume calculation; constructs high-precision 3D color maps when combined with radar data\u003c\/li\u003e\n\u003cli\u003eExample applications shown: RTAB-Map 3D vision mapping and navigation, wood block volume measurement, edge detection, depth camera distance measurement\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch3\u003eYOLOv11 Model Detection\u003c\/h3\u003e\u003cul\u003e\u003cli\u003eSupports image segmentation, pose estimation, image classification, and oriented object detection\u003c\/li\u003e\u003c\/ul\u003e\u003ch3\u003eAI Visual Recognition \/ Interaction\u003c\/h3\u003e\u003cul\u003e\n\u003cli\u003eSupports frameworks such as OpenCV and MediaPipe\u003c\/li\u003e\n\u003cli\u003eRecognition examples shown: human feature recognition, gesture recognition, finger tip trajectory recognition, QR code recognition, 3D detection, 3D face detection, color recognition, AR vision\u003c\/li\u003e\n\u003cli\u003eInteraction examples shown: gesture control, MediaPipe posture following, machine code control, visual line tracking, color tracking, face tracking, KCF object following, deep learning object tracking\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch2\u003eAutonomous Driving (Sandbox) Notes\u003c\/h2\u003e\u003cp\u003eAutonomous driving sandbox testing is shown as supported on: RDK X5, Orin Nano, and Orin NX. Raspberry Pi boards are shown as not supporting this function. Functions demonstrated include road sign detection, lane keeping, autonomous parking, and steering decision.\u003c\/p\u003e\u003ch2\u003eApplications\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003eSLAM mapping and navigation\u003c\/li\u003e\n\u003cli\u003eRoad network planning, route planning, and multipoint navigation\u003c\/li\u003e\n\u003cli\u003eScene understanding, visual following, deep distance Q\u0026amp;A, and autonomous cruise demonstrations\u003c\/li\u003e\n\u003cli\u003eMulti-robot synchronous motion control and formation control\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch2\u003eTutorials\u003c\/h2\u003e\u003cp\u003e\u003ca href=\"https:\/\/www.yahboom.net\/study\/ROSMASTER-M3\" rel=\"noopener\" target=\"_blank\"\u003eROSMASTER-M3 Tutorials\u003c\/a\u003e\u003c\/p\u003e\u003cp\u003eFor configuration help before purchase (versions, controller selection, and accessories), contact \u003ca href=\"https:\/\/rcdrone.top\/\" rel=\"noopener\" target=\"_blank\"\u003ehttps:\/\/rcdrone.top\/\u003c\/a\u003e or email \u003ca href=\"mailto:support@rcdrone.top\"\u003esupport@rcdrone.top\u003c\/a\u003e.\u003c\/p\u003e\u003cp\u003e\u003ciframe height=\"751\" src=\"https:\/\/www.youtube.com\/embed\/ccKsqZnzNcI\" title=\"Your AI Co-Pilot is Here: ROSMASTER M3 - The Thinking Robot\" width=\"1335\"\u003e\u003c\/iframe\u003e\u003c\/p\u003e\u003ch2 id=\"details\"\u003eDetails\u003c\/h2\u003e\u003cdiv class=\"details-gallery\"\u003e\n\u003cimg alt=\"Yahboom ROSMASTER M3 ROS2 AI large model robot car with mecanum wheels, depth camera and LiDAR mounts\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/ROSMASTER-M3-AI-Large-Model-ROS2-Robot-with-Mecanum-Wheel.jpg?v=1782053556\"\u003e\u003cp\u003eMeet ROSMASTER M3: a ROS2-ready robot car platform built for multimodal AI and SLAM navigation on popular edge controllers.\u003c\/p\u003e\n\u003cimg alt=\"ROSMASTER M3 feature overview: multimodal LLM, optional TOF LiDAR fusion, 3D depth vision, and mecanum chassis\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/ROSMASTER-M3-AI-Large-Model-ROS2-Robot-with-Mecanum-Wheel_2fa05304-2294-4f09-a6f6-0c360065d924.jpg?v=1782053561\"\u003e\u003cp\u003eMultimodal interaction, 3D perception, and omnidirectional mobility come together in a single integrated platform.\u003c\/p\u003e\n\u003cimg alt=\"ROSMASTER M3 benefits infographic covering mapping, dual TOF LiDAR fusion, Dify workflow support, and hardware options\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/ROSMASTER-M3-AI-Large-Model-ROS2-Robot-with-Mecanum-Wheel_4684d13f-7bfc-486b-a626-b5480c37202a.jpg?v=1782053568\"\u003e\u003cp\u003eDify workflow support and multiple mapping options help move from demos to deployable robotics applications.\u003c\/p\u003e\n\u003cimg alt=\"Yahboom ROSMASTER M3 ROS2 robot comparison chart highlighting LiDAR\/depth camera, chassis, and controller options\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/ROSMASTER-M3-AI-Large-Model-ROS2-Robot-with-Mecanum-Wheel_ff3fa553-1d45-455b-b51f-77c179353dd8.jpg?v=1782053575\"\u003e\u003cp\u003eChoose the right kit level by comparing perception sensors, controller compatibility, and chassis performance.\u003c\/p\u003e\n\u003cimg alt=\"360-degree perception graphic showing single vs dual TOF LiDAR options and integrated RGB headlights on the robot\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/ROSMASTER-M3-AI-Large-Model-ROS2-Robot-with-Mecanum-Wheel_cbffd2da-4c17-45a3-b61a-eb4249621399.jpg?v=1782053582\"\u003e\u003cp\u003eOptional single\/dual TOF LiDAR and programmable RGB lighting expand navigation and presentation use cases.\u003c\/p\u003e\n\u003cimg alt=\"AI model deployment graphic for ROSMASTER M3: text Q\u0026amp;A, voice dialogue, and vision model recognition examples\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/ROSMASTER-M3-AI-Large-Model-ROS2-Robot-with-Mecanum-Wheel_a476ffdd-3a53-4894-8b8e-0c4552f31448.jpg?v=1782053589\"\u003e\u003cp\u003eRun text, voice, and vision models together for richer semantic understanding and interactive robotics.\u003c\/p\u003e\n\u003cimg alt=\"Multimodal vision application examples: scene understanding, visual following, Q\u0026amp;A with depth, and road sign recognition\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/ROSMASTER-M3-AI-Large-Model-ROS2-Robot-with-Mecanum-Wheel_d9acaa29-bda6-45c7-bd5f-e02b09b2dd2f.jpg?v=1782053595\"\u003e\u003cp\u003eA practical vision stack supports tracking, recognition, and interactive Q\u0026amp;A for real-world scenarios.\u003c\/p\u003e\n\u003cimg alt=\"SLAM navigation examples: mapping, multi-point navigation, object search, and track-map navigation workflows\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/ROSMASTER-M3-AI-Large-Model-ROS2-Robot-with-Mecanum-Wheel_6d27cab9-2fdb-4675-899b-7630e9ddff7a.jpg?v=1782053603\"\u003e\u003cp\u003eSLAM workflows cover mapping, point-to-point navigation, and task-oriented exploration.\u003c\/p\u003e\n\u003cimg alt=\"High-level embodied intelligence functions: scene understanding, instruction planning, and fusion autonomous driving tasks\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/ROSMASTER-M3-AI-Large-Model-ROS2-Robot-with-Mecanum-Wheel_c87d01bd-68f5-4207-9799-ee43e851cce4.jpg?v=1782053610\"\u003e\u003cp\u003eHigher-level planning combines perception and mapping to execute step-by-step tasks more reliably.\u003c\/p\u003e\n\u003cimg alt=\"Full-stack AI large model course syllabus graphic with modules for RAG, API keys, agents, and multimodal tasks\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/ROSMASTER-M3-AI-Large-Model-ROS2-Robot-with-Mecanum-Wheel_aed2456e-b2c9-4a71-8321-44dd0fe142d6.jpg?v=1782053616\"\u003e\u003cimg alt=\"ROS robot configuration recommendations table comparing versions, controller choices, and functional test items\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/ROSMASTER-M3-AI-Large-Model-ROS2-Robot-with-Mecanum-Wheel_7e8b19a7-d859-41c9-9630-c999f9888c11.jpg?v=1782053623\"\u003e\u003cp\u003eUse the selection guide to match your controller and sensor needs across Standard, Superior, and Ultimate options.\u003c\/p\u003e\n\u003cimg alt=\"ROS key functions infographic: upper and lower computers, LiDAR mapping, and depth camera point cloud examples\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/ROSMASTER-M3-AI-Large-Model-ROS2-Robot-with-Mecanum-Wheel_35c4305e-9ca0-4ac4-8823-3d070ee359ea.jpg?v=1782053630\"\u003e\u003cp\u003eSensor fusion and ROS tooling support mapping, obstacle avoidance, and depth-based measurement.\u003c\/p\u003e\n\u003cimg alt=\"AI vision functions list: YOLOv11 detection, OpenCV\/MediaPipe, gesture recognition, and multi-robot formation control\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/ROSMASTER-M3-AI-Large-Model-ROS2-Robot-with-Mecanum-Wheel_9d76e08b-e7bd-4fdf-b4f5-9e67bf349810.jpg?v=1782053636\"\u003e\u003cp\u003eVision features include detection, tracking, gesture recognition, and multi-robot formation control.\u003c\/p\u003e\n\u003cimg alt=\"Autonomous driving sandbox infographic: road sign detection, lane keeping, parking, and steering decision examples\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Yahboom-ROSMASTER-M3-ROS2-AI-Large-Model-Robot.webp?v=1782054636\"\u003e\u003cp\u003eAutonomous driving behaviors include lane keeping, sign recognition, parking routines, and steering decisions.\u003c\/p\u003e\n\u003cimg alt=\"Autonomous driving sandbox purchase banner for RDK X5, Jetson Orin Nano, and Orin NX controllers\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/ROSMASTER-M3-AI-Large-Model-ROS2-Robot-with-Mecanum-Wheel_5b5ac3e6-027d-4112-858d-0413c9089d2c.jpg?v=1782053655\"\u003e\u003cimg alt=\"ROS2 Humble support graphic with RViz simulation and cross-platform remote control methods for the robot\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/ROSMASTER-M3-AI-Large-Model-ROS2-Robot-with-Mecanum-Wheel_d8d99fe1-c2ce-4a34-910a-a1a62350d8fe.jpg?v=1782053662\"\u003e\u003cp\u003eROS2 Humble development pairs with RViz simulation and flexible remote-control options for testing and demos.\u003c\/p\u003e\n\u003cimg alt=\"Exploded product structure view showing optional 7-inch display, LiDAR, DaBai DCW2 depth camera, and battery pack\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/ROSMASTER-M3-AI-Large-Model-ROS2-Robot-with-Mecanum-Wheel_9e9afaa0-2d2a-411d-a2ae-5d851b8543b2.jpg?v=1782053668\"\u003e\u003cp\u003eAn exploded view highlights modular add-ons like the depth camera, LiDAR, optional display, and onboard lighting.\u003c\/p\u003e\n\u003cimg alt=\"TOF LiDAR and AI voice module details showing ranging specs and the embedded microphone\/speaker board\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/ROSMASTER-M3-AI-Large-Model-ROS2-Robot-with-Mecanum-Wheel_8defab7e-2569-4500-abee-10eb1b41d2e7.jpg?v=1782053674\"\u003e\u003cimg alt=\"Yahboom ROS robot control board kit with labeled ports, 12V 6000mAh Li-ion battery pack, and optional 7-inch touchscreen\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/ROSMASTER-M3-AI-Large-Model-ROS2-Robot-with-Mecanum-Wheel_e212b2d1-4ebb-44d2-8125-17a841ceae7f.jpg?v=1782053681\"\u003e\u003cp\u003eThe ROS robot control board bundle includes a 12V 6000mAh Li-ion battery pack and supports an optional 7-inch HD touchscreen for interactive control.\u003c\/p\u003e\n\u003cimg alt=\"ROSMaster M3 course syllabus page for Yahboom ROSMASTER M3 ROS2 AI robot, with a detailed lesson list\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/ROSMASTER-M3-AI-Large-Model-ROS2-Robot-with-Mecanum-Wheel_4c192182-dc74-48e0-8744-43bbaa75c407.jpg?v=1782053688\"\u003e\u003cp\u003eThe ROSMASTER M3 course syllabus lays out the video lesson modules and learning roadmap for ROS2 AI robot projects.\u003c\/p\u003e\n\u003cimg alt=\"Screenshot of Yahboom ROSMASTER M3 tutorial and code folders, including chassis control, LiDAR, and AI model courses.\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/ROSMASTER-M3-AI-Large-Model-ROS2-Robot-with-Mecanum-Wheel_0b8bbef0-ca90-4376-bf5d-fde146c51253.png?v=1782053805\"\u003e\u003cp\u003eThe ROSMASTER M3 package includes organized tutorial and code folders covering chassis control, LiDAR setup, and AI model development topics.\u003c\/p\u003e\n\u003cimg alt=\"Tutorial curriculum screenshot for Yahboom ROSMASTER M3, listing AI large model, ROS2 basics, and practical video modules.\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/ROSMASTER-M3-AI-Large-Model-ROS2-Robot-with-Mecanum-Wheel_387443ad-5281-4ea7-b841-b0eb49463dc9.png?v=1782053813\"\u003e\u003cp\u003eThe ROSMASTER M3 learning resources outline AI large model tutorials, ROS2 basic course videos, and practical materials to guide setup and development.\u003c\/p\u003e\n\u003cimg alt=\"Yahboom ROSMASTER M3 support graphic offering 3D model files and after-sales technical support screenshots\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/ROSMASTER-M3-AI-Large-Model-ROS2-Robot-with-Mecanum-Wheel_b6b9d635-d30d-468b-be54-e55428a71728.png?v=1782053818\"\u003e\u003cp\u003eYahboom provides ROSMASTER M3 3D model files and after-sales technical support to help with DIY modeling and setup.\u003c\/p\u003e\n\u003cimg alt=\"ROSMASTER series vehicle selection comparison chart listing chassis, cameras, OLED display, control boards, and battery specs\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/ROSMASTER-M3-AI-Large-Model-ROS2-Robot-with-Mecanum-Wheel_3bc87d89-a7af-4873-8083-b5ebf45a51c5.jpg?v=1782053701\"\u003e\u003cp\u003eROSMASTER M3 platform options cover Ackermann steering, RGBD\/USB camera choices, a 0.91-inch OLED display, and multiple control board selections.\u003c\/p\u003e\n\u003cimg alt=\"Specification table for Yahboom ROSMASTER M3 ROS2 AI robot, listing mecanum chassis, cameras, control boards, and battery\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/ROSMASTER-M3-AI-Large-Model-ROS2-Robot-with-Mecanum-Wheel_04d2801d-6e05-4ce5-9ae1-bc2ec73db9ab.jpg?v=1782053707\"\u003e\u003cp\u003eROSMASTER M3 uses a mecanum-wheel chassis with 80 mm wheels and lists options like an AI voice module, multiple controller boards, and a 12.6V 6000mAh battery.\u003c\/p\u003e\n\u003cimg alt=\"ROSmaster M3 robot feature chart listing mecanum chassis, camera options, control boards (Raspberry Pi 5\/Jetson), and 12.6V 6000mAh battery\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/ROSMASTER-M3-AI-Large-Model-ROS2-Robot-with-Mecanum-Wheel_54d5de40-3bec-43e0-b87f-b44d7e3271cf.jpg?v=1782053713\"\u003e\u003cp\u003eROSmaster M3 uses a mecanum-wheel chassis with multiple camera and control board options, plus a 12.6V 6000mAh battery pack for mobile builds.\u003c\/p\u003e\n\u003cimg alt=\"ROSMASTER M3 PRO robot spec chart with mecanum chassis, 6‑DOF arm, LiDAR, depth camera, and Pi\/Jetson options\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/ROSMASTER-M3-AI-Large-Model-ROS2-Robot-with-Mecanum-Wheel_b47d6dfa-d394-437e-b1ac-6103f58bf710.jpg?v=1782053719\"\u003e\u003cp\u003eROSMaster M3 PRO combines a mecanum-wheel chassis with a 6‑DOF robotic arm and supports LiDAR, depth camera, and Raspberry Pi or Jetson control boards.\u003c\/p\u003e\n\u003cimg alt=\"Yahboom ROSMASTER M3 ROS2 AI robot product parameters sheet with side and front views and dimensions in mm\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/ROSMASTER-M3-AI-Large-Model-ROS2-Robot-with-Mecanum-Wheel_84efd883-3969-4ab0-b1da-c5e1cb24b9b5.jpg?v=1782053726\"\u003e\u003cp\u003eThe ROSMASTER M3 specification sheet includes dimension drawings and key details like ROS2 support and Python programming.\u003c\/p\u003e\n\u003cimg alt=\"ROSMaster M3 ROS2 AI robot kit shipping list showing robot car chassis, control board, sensors, display, cables, and tools\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/ROSMASTER-M3-AI-Large-Model-ROS2-Robot-with-Mecanum-Wheel_b070e67b-2b85-442c-b492-b616654c7f50.jpg?v=1782053732\"\u003e\u003cp\u003eThe ROSMASTER M3 kit includes the robot chassis along with core electronics, sensors, and essential cables and accessories for assembly.\u003c\/p\u003e\n\u003cimg alt=\"Yahboom ROSMASTER M3 accessory list showing depth camera, LiDAR, 7-inch screen, mounts, and main control options\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/ROSMASTER-M3-AI-Large-Model-ROS2-Robot-with-Mecanum-Wheel_6d0ef9f3-69b7-4d12-a892-eaded02e4322.jpg?v=1782053739\"\u003e\u003cp\u003eThe ROSMASTER M3 accessory lineup includes LiDAR and depth camera modules, a 7-inch screen with brackets, mounts, and different main control board bundles.\u003c\/p\u003e\n\u003c\/div\u003e","brand":"Yahboom","offers":[{"title":"Standard-without \/ RPi 5-8GB","offer_id":53126893273312,"sku":"3000200961-1","price":916.98,"currency_code":"USD","in_stock":true},{"title":"Standard-without \/ RDK X5-8GB","offer_id":53126893306080,"sku":"3000200961-2","price":11704.5,"currency_code":"USD","in_stock":true},{"title":"Standard-without \/ ORIN 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The kit combines a Super:bit expansion board with building block servo\/motor parts, a battery, and 358 building block parts to build and program multiple interactive models.\u003c\/p\u003e\u003cp style=\"text-align: center;\"\u003e\u003ciframe height=\"420\" src=\"https:\/\/www.youtube.com\/embed\/gkXWLfrsazU\" title=\"Yahboom 16 in 1 Building:bit Super kit for BBC Micro:bit V2\/V1.5\" width=\"600\"\u003e\u003c\/iframe\u003e\u003c\/p\u003e\u003ch2\u003eKey Features\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003eDesigned based on BBC micro:bit and equipped with a Super:bit professional expansion board\u003c\/li\u003e\n\u003cli\u003eMakeCode graphical programming + Python programming (drag-and-drop programming supported by MakeCode)\u003c\/li\u003e\n\u003cli\u003eMakeCode supports three types of devices: Mobile phone (Android\/iOS), Tablet, Computer\u003c\/li\u003e\n\u003cli\u003eSupports APP remote control (MbitAPP) and optional micro:bit handle remote control\u003c\/li\u003e\n\u003cli\u003eCompatible with LEGO building blocks\u003c\/li\u003e\n\u003cli\u003eFull-color printed instruction manual and learning course support\u003c\/li\u003e\n\u003cli\u003eSafe material suitable for children; made of environmentally friendly ABS material\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch2\u003eSpecifications\u003c\/h2\u003e\u003ctable\u003e\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eProduct\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eBuilding:bit SUPER:KIT Building Block Kit\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eRecommended age\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e8+\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eController compatibility\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eBBC micro:bit (compatible with all versions micro:bit); designed for micro:bit V2\/V1.5\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eKit composition (overall)\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eSuper:bit expansion board, building block servo\/motor, battery, 358 building block parts\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eProgramming languages\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eGraphical programming (MakeCode) + Python programming\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003ePython learning note\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eSuitable for advanced programming for teenagers over 12 years old\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eRemote control methods\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eMobile APP remote control (MbitAPP); Micro:bit handle remote control (Optional)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eRemote control support (kit feature list)\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eSupports BTAPP, WiFi image transmission APP, Handle remote control\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\u003c\/table\u003e\u003ch3\u003eVersion Comparison (as presented in the purchase guide)\u003c\/h3\u003e\u003ctable\u003e\n\u003cthead\u003e\u003ctr\u003e\n\u003cth\u003eItem\u003c\/th\u003e\n\u003cth\u003eStandard version\u003c\/th\u003e\n\u003cth\u003eAdvanced version\u003c\/th\u003e\n\u003c\/tr\u003e\u003c\/thead\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eBuilding block model\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e16\u003c\/td\u003e\n\u003ctd\u003e29 (with 16 kinds of standard models)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eNumber of courses\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e170+\u003c\/td\u003e\n\u003ctd\u003e230+\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eHardware configuration\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eBuilding block servo*1; Building block motor*2; Super:bit expansion board*1; Building block parts package\u003c\/td\u003e\n\u003ctd\u003eSensors*8; Building block servo*1; Building block motor*2; Super:bit expansion board*1; Building block parts package\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eProgramming language\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd colspan=\"2\"\u003eSupports graphical and Python programming, with corresponding teaching cases\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eBuilding block functions\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd colspan=\"2\"\u003eCan drive dynamically on the desktop or ground\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eRemote control\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd colspan=\"2\"\u003eSupports BTAPP, WiFi image transmission APP, Handle remote control\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eBuilding block manual\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eElectronic assembly tutorials\u003c\/td\u003e\n\u003ctd\u003eElectronic assembly tutorials + Full-color paper assembly tutorials\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\u003ch3\u003eAdvanced Version: 8 Sensor Modules (names and functions)\u003c\/h3\u003e\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003eRocker module:\u003c\/strong\u003e Can output analog values of X-axis and Y-axis, realize all-round rocker handle control.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003ePotentiometer module:\u003c\/strong\u003e Change its own resistance by adjusting the knob, so that the current or voltage in the circuit changes.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eHuman infrared sensing module:\u003c\/strong\u003e Detects human activities through the pyroelectric principle. Once a person enters the detection area, a high-level signal is sent.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eTemperature and humidity sensor:\u003c\/strong\u003e The module integrates DHT-11 temperature and humidity sensor, which has the characteristics of smaller size and stable performance.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eColor recognition sensor:\u003c\/strong\u003e Can identify RGB values of different colors to judge the color.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eInfrared detection module:\u003c\/strong\u003e It has a pair of diodes, which can judge whether there are obstacles around by transmitting and receiving signals.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003ePhotosensitive sensor:\u003c\/strong\u003e The photosensitive sensor can sense the light intensity of the current environment, and some automatic switches can be made based on this feature.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eUltrasonic sensor:\u003c\/strong\u003e The module integrates ultrasonic transmitter and receiver, and can use ultrasonic waves to measure the distance of distant objects.\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003e\u003cstrong\u003eSensor module structure notes (Advanced version):\u003c\/strong\u003e Uses environmentally friendly ABS material, wear-resistant and durable, safe and non-toxic; features quick connection, cascade design, and compatibility with building block shape. The module adopts a PH2.0 anti-fool interface for more convenient wiring and supports free splicing.\u003c\/p\u003e\u003ch2\u003eWhat's Included\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003eSuper:kit standard version:\u003c\/strong\u003e Super:kit standard version; Full-color instruction manual; Super:bit expansion board; Building block parts package\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eSuper:kit advanced version:\u003c\/strong\u003e Super:kit advanced version; Full-color instruction manual; Super:bit expansion board; Building block parts package + sensor module*8\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003e\u003cstrong\u003eEach sensor module shipping list includes:\u003c\/strong\u003e Packaging box; Block bolts; PH2.0 cable\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eOptional micro:bit board:\u003c\/strong\u003e With micro:bit V2.2 board (recommended; full set of configuration, ready to play) or without micro:bit V2.2 (suitable for users who already have a micro:bit development board). The main control board is the British BBC micro:bit development board; this product must be used with a micro:bit board.\u003c\/p\u003e\u003ch2\u003eApplications\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003eYouth programming education and classroom STEM projects\u003c\/li\u003e\n\u003cli\u003eHands-on learning of mechanical structure, motion control, and sensor principles\u003c\/li\u003e\n\u003cli\u003eGraphical programming and Python practice using BBC micro:bit\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch2\u003eManuals\u003c\/h2\u003e\u003cp\u003eTutorial \/ course materials: \u003ca href=\"http:\/\/www.yahboom.net\/study\/buildingbit-super-kit\" rel=\"noopener\" target=\"_blank\"\u003eYahboom Building:bit Super Kit tutorial\u003c\/a\u003e\u003c\/p\u003e\u003cp\u003eFor product selection help, compatibility questions, or after-sales support, contact https:\/\/rcdrone.top\/ or email support@rcdrone.top.\u003c\/p\u003e\u003ch2 id=\"details\"\u003eDetails\u003c\/h2\u003e\u003cdiv class=\"details-gallery\"\u003e\n\u003cimg alt=\"Yahboom 16-in-1 Building:bit Super Kit programmable building block kit for BBC micro:bit V2\/V1.5\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/16-in-1-Buildingbit-Super-kit-for-BBC-Microbit-V2V15.jpg?v=1782306928\"\u003e\u003cimg alt=\"Purchase guide comparing World of Motion, Super Kit, and Super Kit Plus building block kit versions\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/16-in-1-Buildingbit-Super-kit-for-BBC-Microbit-V2V15_620566e4-6431-4f8a-925b-2ad24ee8cc05.jpg?v=1782306934\"\u003e\u003cimg alt=\"Yahboom Building:bit Super Kit box and sample builds for micro:bit robotics and coding projects (age 8+)\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/16-in-1-Buildingbit-Super-kit-for-BBC-Microbit-V2V15_136367bd-bb9f-491b-963d-c6e369a2ce4f.jpg?v=1782306941\"\u003e\u003cimg alt=\"Feature overview: model count, MakeCode + Python programming, micro:bit based design, ABS material, support\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/16-in-1-Buildingbit-Super-kit-for-BBC-Microbit-V2V15_c63c45c5-a9c2-43f5-87f4-a64d10e22aae.jpg?v=1782306946\"\u003e\u003cimg alt=\"Micro:bit compatibility poster indicating support for all micro:bit versions, including V2 and V1.5\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/16-in-1-Buildingbit-Super-kit-for-BBC-Microbit-V2V15_26340d32-b7b4-46e1-8417-452fd0f1fc63.jpg?v=1782306953\"\u003e\u003cimg alt=\"Shipping list for standard vs advanced kit: Super:bit board, motors\/servo, sensors, blocks, and manuals\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/16-in-1-Buildingbit-Super-kit-for-BBC-Microbit-V2V15_cdd171fa-5429-4cab-a197-021546267ed7.jpg?v=1782306959\"\u003e\u003cimg alt=\"Support services and full-color instruction manual with step-by-step assembly and learning course access\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/16-in-1-Buildingbit-Super-kit-for-BBC-Microbit-V2V15_675ea303-e923-41eb-9c5a-9385f8ab4794.jpg?v=1782306966\"\u003e\u003cimg alt=\"L1 basic modeling course map with themed builds and knowledge points for progressive learning\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/16-in-1-Buildingbit-Super-kit-for-BBC-Microbit-V2V15_09c05949-f2c7-4028-b35b-88cdb0dc336d.jpg?v=1782306972\"\u003e\u003cimg alt=\"L2 sensor basics course topics for the advanced version, including ultrasonic, light, and temperature examples\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/16-in-1-Buildingbit-Super-kit-for-BBC-Microbit-V2V15_1ca8f418-433f-4831-b870-0e186440b513.jpg?v=1782306978\"\u003e\u003cimg alt=\"L3 sensor expansion course themes for the advanced version, combining sensors with motion-control builds\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/16-in-1-Buildingbit-Super-kit-for-BBC-Microbit-V2V15_f7b5e662-b8f4-4294-a0a3-392b237b7c12.jpg?v=1782306984\"\u003e\u003cimg alt=\"Standard version: 80+ interesting functions with example builds like spider, airplane, clip robot, auto-door\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/16-in-1-Buildingbit-Super-kit-for-BBC-Microbit-V2V15_9a931850-4331-4ebf-99ee-e313d3da3596.jpg?v=1782306990\"\u003e\u003cimg alt=\"Advanced version sensor functions poster with build examples: ultrasonic, IR detection, potentiometer, color\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/16-in-1-Buildingbit-Super-kit-for-BBC-Microbit-V2V15_22be78de-cfa4-434f-8d5b-6c5271637a88.jpg?v=1782306996\"\u003e\u003cimg alt=\"Advanced version sensor modules set with quick connection, stackable design, and building-block compatibility\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/16-in-1-Buildingbit-Super-kit-for-BBC-Microbit-V2V15_d0e61167-8a6b-43c5-a939-3473bcd0c518.jpg?v=1782307002\"\u003e\u003cimg alt=\"Programming options: MakeCode drag-and-drop graphical coding and Python, supported on phone, tablet, computer\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/16-in-1-Buildingbit-Super-kit-for-BBC-Microbit-V2V15_08048155-beb1-4385-898a-39093b4dede9.jpg?v=1782307011\"\u003e\u003cimg alt=\"Two remote control methods: MbitAPP on Android\/iOS and optional micro:bit handle controller for models\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/16-in-1-Buildingbit-Super-kit-for-BBC-Microbit-V2V15_664cc53d-ff9a-4007-aa23-1186d9407025.jpg?v=1782307016\"\u003e\u003cimg alt=\"Optional micro:bit remote control handle purchase prompt with controller image and “Click to buy” button\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/16-in-1-Buildingbit-Super-kit-for-BBC-Microbit-V2V15_1de52fad-dcb7-45b5-9ea8-16433b644314.jpg?v=1782307022\"\u003e\u003cimg alt=\"Expandable WiFi camera module option for video remote control, shown on building-block car and spider builds\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/16-in-1-Buildingbit-Super-kit-for-BBC-Microbit-V2V15_c6fd4d7d-b2f5-412e-9d23-1abd6a2cb165.jpg?v=1782307028\"\u003e\u003cimg alt=\"Optional WiFi camera module purchase banner with camera module image and “Click to buy” button\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/16-in-1-Buildingbit-Super-kit-for-BBC-Microbit-V2V15_15c83872-e01e-4f10-be2e-237393e76d1b.jpg?v=1782307034\"\u003e\u003cimg alt=\"Yahboom building:bit Super Kit MakeCode block reference sheet with robot car and micro:bit kit header\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/16-in-1-Buildingbit-Super-kit-for-BBC-Microbit-V2V15_80a4e47d-877b-4bdc-a7f0-b0430db87788.jpg?v=1782307041\"\u003e\u003cp\u003eA MakeCode block reference for the Yahboom building:bit Super Kit helps you quickly find common functions while programming a micro:bit build.\u003c\/p\u003e\n\u003cimg alt=\"Tutorials and codes screen with course folders for assembly, MakeCode, Python, and sensor advanced lessons\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/16-in-1-Buildingbit-Super-kit-for-BBC-Microbit-V2V15_428532f1-620a-4e60-9450-3d732060c93f.jpg?v=1782307047\"\u003e\u003cp\u003eThe kit includes organized tutorial folders for assembly, MakeCode, Python, and advanced sensor lessons along with example code.\u003c\/p\u003e\n\u003cimg alt=\"STEAM education infographic with Technology at the center, linked to Science, Engineering, Art and Mathematics\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/16-in-1-Buildingbit-Super-kit-for-BBC-Microbit-V2V15_49c82231-2ef1-4c00-863d-4ba4e7161d8e.jpg?v=1782307053\"\u003e\u003cp\u003eThe kit supports hands-on STEAM learning with activities spanning technology, science, engineering, art, and mathematics.\u003c\/p\u003e\n\u003cimg alt=\"Yahboom Building:bit Super Kit parts layout with beams, wheels, motors, sensors, and optional micro:bit board size guide\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/16-in-1-Buildingbit-Super-kit-for-BBC-Microbit-V2V15_17bde443-e907-43dd-91fa-f169a88e9269.jpg?v=1782307060\"\u003e\u003cp\u003eThe Building:bit Super Kit combines a micro:bit-based controller with a wide range of building blocks, motors, and sensors for customizable projects.\u003c\/p\u003e\n\u003cimg alt=\"Yahboom Building:bit Super Kit box with sorted parts and sample blue-and-white builds like a rover and arm\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/16-in-1-Buildingbit-Super-kit-for-BBC-Microbit-V2V15_fb373c62-696c-42f6-8eba-baccc423612c.jpg?v=1782307066\"\u003e\u003cp\u003eThe Building:bit Super Kit comes with an organized parts tray and example builds like a wheeled rover and a robotic-style arm for hands-on projects.\u003c\/p\u003e\n\u003c\/div\u003e","brand":"Yahboom Technology","offers":[{"title":"Without Micro:bit \/ Standard Kit","offer_id":53135477375200,"sku":"6000100289-1","price":102.79,"currency_code":"USD","in_stock":true},{"title":"Without Micro:bit \/ Advanced Kit","offer_id":53135477407968,"sku":"6000100289-2","price":155.59,"currency_code":"USD","in_stock":true},{"title":"Without Micro:bit \/ WiFi Camera Kit","offer_id":53135477440736,"sku":"6000100289-3","price":183.19,"currency_code":"USD","in_stock":true},{"title":"With Micro:bit V2.0 \/ Standard Kit","offer_id":53135477473504,"sku":"6000100289-4","price":136.39,"currency_code":"USD","in_stock":true},{"title":"With Micro:bit V2.0 \/ Advanced Kit","offer_id":53135477506272,"sku":"6000100289-5","price":189.19,"currency_code":"USD","in_stock":true},{"title":"With Micro:bit V2.0 \/ WiFi Camera Kit","offer_id":53135477539040,"sku":"6000100289-6","price":216.79,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0643\/3210\/3904\/files\/Superkit-Yahboom-_1.jpg?v=1782121221"},{"product_id":"yahboom-dofbot-pro-robotic-arm","title":"DOFBOT Pro 6-DOF 3D Depth Vision Robotic Arm for Jetson Nano 4GB \/ Orin Nano SUPER \/ Orin NX SUPER","description":"\u003ch2\u003eOverview\u003c\/h2\u003e\u003cp\u003eDOFBOT PRO is a desktop-level 3D AI vision \u003cstrong\u003erobotic arm\u003c\/strong\u003e designed for ROS education and development. It combines a 6-DOF motion joint structure, a 3D depth camera, and NVIDIA Jetson series control boards to simplify complex motion control through ROS, forward\/inverse kinematics, and visual perception for 3D-space recognition, tracking, and grasping.\u003c\/p\u003e\u003ch2\u003eVideos\u003c\/h2\u003e\u003ciframe height=\"751\" src=\"https:\/\/www.youtube.com\/embed\/qsURQMGCHzc\" title=\"This AI Robotic Arm Understands Videos \u0026amp; Plays Games! (DOFBOT Pro)\" width=\"1335\"\u003e\u003c\/iframe\u003e\u003ciframe height=\"420\" src=\"https:\/\/www.youtube.com\/embed\/2xCXQ2QULNc\" title=\"DOFBOT Pro 3D Depth Vision Robotic Arm for Jetson NANO 4GB\/Orin NANO\/Orin NX\" width=\"600\"\u003e\u003c\/iframe\u003e\u003ch2\u003eKey Features\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003eJetson platform compatibility:\u003c\/strong\u003e compatible with Jetson Nano 4GB \/ Jetson Orin Nano SUPER \/ Jetson Orin NX SUPER control boards; GPU-accelerated model training and Python development are supported.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003e3D depth point cloud recognition:\u003c\/strong\u003e RGB + depth (RGB+D) fusion detection for 3D positioning, tracking, and grasping tasks.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eROS motion planning and simulation:\u003c\/strong\u003e supports MoveIt motion planning and RViz robot simulation; supports 2D and 3D visual interaction.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003e6-DOF aluminum-alloy structure:\u003c\/strong\u003e precision-machined aluminum alloy body; high-precision servos for smooth multi-axis motion.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eCross-platform control:\u003c\/strong\u003e supports app control (Android\/iOS), wireless handle control, and PC web page control.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eMultimodal \/ large-model concepts (as provided):\u003c\/strong\u003e Large Language Model, Large Speech Model, Large Visual Model; includes Scalable RAG Knowledge Base and “Dual-Modal Dynamic Feedback Reasoning Architecture” descriptions.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eAlgorithm frameworks listed:\u003c\/strong\u003e inverse kinematics algorithm, YOLOv11, OpenCV, MediaPipe.\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003eFor product selection and technical support, contact \u003ca href=\"https:\/\/rcdrone.top\/\" rel=\"noopener\" target=\"_blank\"\u003ehttps:\/\/rcdrone.top\/\u003c\/a\u003e or email \u003ca href=\"mailto:support@rcdrone.top\"\u003esupport@rcdrone.top\u003c\/a\u003e.\u003c\/p\u003e\u003ch2\u003eSpecifications\u003c\/h2\u003e\u003ch3\u003eDOFBOT-PRO (robotic arm system)\u003c\/h3\u003e\u003ctable\u003e\u003ctbody\u003e\n\u003ctr\u003e\n\u003cth\u003eMaster control\u003c\/th\u003e\n\u003ctd\u003eJetson Nano B01 \/ Jetson Orin Nano SUPER \/ Jetson Orin NX SUPER\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth\u003eDegree of freedom\u003c\/th\u003e\n\u003ctd\u003e6\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth\u003eArm span\u003c\/th\u003e\n\u003ctd\u003e350mm\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth\u003eGripper open-close\u003c\/th\u003e\n\u003ctd\u003e6cm\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth\u003eRepeatable positioning accuracy\u003c\/th\u003e\n\u003ctd\u003e±0.5mm\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth\u003eStructure type\u003c\/th\u003e\n\u003ctd\u003eTraditional robotic arm structure\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth\u003eCamera\u003c\/th\u003e\n\u003ctd\u003eDABAI DCW2 Depth camera\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth\u003eVisual dimension\u003c\/th\u003e\n\u003ctd\u003e3D image with depth distance information\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth\u003eVoice\u003c\/th\u003e\n\u003ctd\u003eAI large model voice module + speaker\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth\u003eDisplay\u003c\/th\u003e\n\u003ctd\u003e10.1-inch display\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth\u003eFunction\u003c\/th\u003e\n\u003ctd\u003eInterconnection control; MoveIt motion planning; RViz robot simulation; 2D visual interaction; 3D visual interaction; AI large model\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth\u003ePositioning (as described)\u003c\/th\u003e\n\u003ctd\u003eEmbedded AI \/ AI large model \/ 3D depth visual robotic arm\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\u003c\/table\u003e\u003ch3\u003eROS Robotic Arm Configurations (as listed)\u003c\/h3\u003e\u003ctable\u003e\u003ctbody\u003e\n\u003ctr\u003e\n\u003cth\u003eVersion\u003c\/th\u003e\n\u003cth\u003eStandard Version\u003c\/th\u003e\n\u003cth\u003eUltimate Version\u003c\/th\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth\u003eControl boards\u003c\/th\u003e\n\u003ctd\u003eJetson Nano B01; Jetson Orin Nano SUPER 4GB\/8GB; Jetson Orin Nano SUPER 8GB\/16GB\u003c\/td\u003e\n\u003ctd\u003eJetson Nano B01; Jetson Orin Nano SUPER 4GB\/8GB; Jetson Orin Nano SUPER 8GB\/16GB\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth\u003eVoice Module\u003c\/th\u003e\n\u003ctd colspan=\"2\"\u003eAll versions include AI large model voice module\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth\u003eDepth Camera\u003c\/th\u003e\n\u003ctd colspan=\"2\"\u003eDABAI DCW2 Depth Camera\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth\u003eDisplay\u003c\/th\u003e\n\u003ctd\u003e\/\u003c\/td\u003e\n\u003ctd\u003eHD 10.1-inch touch screen\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\u003c\/table\u003e\u003ch3\u003eController Selection Recommendations (Jetson board specs shown)\u003c\/h3\u003e\u003ctable\u003e\u003ctbody\u003e\n\u003ctr\u003e\n\u003cth\u003eItem\u003c\/th\u003e\n\u003cth\u003eJetson Nano B01 4GB\u003c\/th\u003e\n\u003cth\u003eJetson Orin Nano SUPER 4GB\u003c\/th\u003e\n\u003cth\u003eJetson Orin Nano SUPER 8GB\u003c\/th\u003e\n\u003cth\u003eJetson Orin NX SUPER 8GB\u003c\/th\u003e\n\u003cth\u003eJetson Orin NX SUPER 16GB\u003c\/th\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth\u003eComputing power\u003c\/th\u003e\n\u003ctd\u003e0.5TFLOPS (FP16)\u003c\/td\u003e\n\u003ctd\u003e34 TOPS\u003c\/td\u003e\n\u003ctd\u003e67 TOPS\u003c\/td\u003e\n\u003ctd\u003e117 TOPS\u003c\/td\u003e\n\u003ctd\u003e157 TOPS\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth\u003eCPU\u003c\/th\u003e\n\u003ctd\u003eQuad-core Arm Cortex-A57 MPCore processor\u003c\/td\u003e\n\u003ctd\u003e6-core Arm Cortex-A78AE v8.2 64-bit CPU; 1.5MB L2 + 4MB L3\u003c\/td\u003e\n\u003ctd\u003e6-core Arm Cortex-A78AE v8.2 64-bit CPU; 1.5MB L2 + 4MB L3\u003c\/td\u003e\n\u003ctd\u003e6-core NVIDIA Arm Cortex A78AE v8.2 64-bit CPU; 1.5MB L2 + 4MB L3\u003c\/td\u003e\n\u003ctd\u003e8-core NVIDIA Arm Cortex A78AE v8.2 64-bit CPU; 2MB L2 + 4MB L3\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth\u003eGPU\u003c\/th\u003e\n\u003ctd\u003e128-core NVIDIA Maxwell GPU\u003c\/td\u003e\n\u003ctd\u003e512-core NVIDIA Ampere architecture GPU with 16 Tensor Cores\u003c\/td\u003e\n\u003ctd\u003e1024-core NVIDIA Ampere architecture GPU with 32 Tensor Cores\u003c\/td\u003e\n\u003ctd\u003e1024-core NVIDIA Ampere architecture GPU with 32 Tensor Cores\u003c\/td\u003e\n\u003ctd\u003e1024-core NVIDIA Ampere architecture GPU with 32 Tensor Cores\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth\u003eMemory\u003c\/th\u003e\n\u003ctd\u003e4GB 64-bit LPDDR4; 25.6GB\/s\u003c\/td\u003e\n\u003ctd\u003e4GB 64-bit LPDDR5; 51GB\/s\u003c\/td\u003e\n\u003ctd\u003e8GB 128-bit LPDDR5; 102GB\/s\u003c\/td\u003e\n\u003ctd\u003e8GB 128-bit LPDDR5; 102GB\/s\u003c\/td\u003e\n\u003ctd\u003e16GB 128-bit LPDDR5; 102GB\/s\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth\u003eStorage\u003c\/th\u003e\n\u003ctd\u003e16GB eMMC + 64GB U disk\u003c\/td\u003e\n\u003ctd colspan=\"4\"\u003e256GB SSD\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth\u003ePower\u003c\/th\u003e\n\u003ctd\u003e5W - 10W\u003c\/td\u003e\n\u003ctd\u003e7W , 10W , 25W\u003c\/td\u003e\n\u003ctd\u003e7W , 15W , 25W\u003c\/td\u003e\n\u003ctd\u003e10W , 15W , 25W , 40W\u003c\/td\u003e\n\u003ctd\u003e10W , 15W , 25W , 40W\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth\u003eROS System Version\u003c\/th\u003e\n\u003ctd\u003eUbuntu18.04 + Docker + ROS2 Humble\u003c\/td\u003e\n\u003ctd colspan=\"4\"\u003eUbuntu22.04 LTS + ROS2 Humble\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\u003c\/table\u003e\u003ch3\u003eFunction Operation Difference (measured results shown)\u003c\/h3\u003e\u003ctable\u003e\u003ctbody\u003e\n\u003ctr\u003e\n\u003cth\u003eVersion\u003c\/th\u003e\n\u003cth\u003eJetson Nano B01 4GB\u003c\/th\u003e\n\u003cth\u003eJetson Orin Nano SUPER 8GB\u003c\/th\u003e\n\u003cth\u003eJetson Orin NX SUPER 16GB\u003c\/th\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth\u003eRobot startup (program start time)\u003c\/th\u003e\n\u003ctd\u003e62s\u003c\/td\u003e\n\u003ctd\u003e49s\u003c\/td\u003e\n\u003ctd\u003e48s\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth\u003e2D-face tracking (program start time \/ program running frame)\u003c\/th\u003e\n\u003ctd\u003e4s \/ 10fps\u003c\/td\u003e\n\u003ctd\u003e7s \/ 30fps\u003c\/td\u003e\n\u003ctd\u003e7s \/ 30fps\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth\u003e2D-gesture recognition grab blocks (program start time \/ program running frame)\u003c\/th\u003e\n\u003ctd\u003e7s \/ 6fps\u003c\/td\u003e\n\u003ctd\u003e6s \/ 30fps\u003c\/td\u003e\n\u003ctd\u003e6s \/ 30fps\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth\u003e2D-fingertip trajectory recognition (program start time \/ program running frame)\u003c\/th\u003e\n\u003ctd\u003e10s \/ 5fps\u003c\/td\u003e\n\u003ctd\u003e7s \/ 30fps\u003c\/td\u003e\n\u003ctd\u003e6s \/ 30fps\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth\u003eMoveIt (program start time \/ program running frame)\u003c\/th\u003e\n\u003ctd\u003e45s \/ 6fps\u003c\/td\u003e\n\u003ctd\u003e43s \/ 30fps\u003c\/td\u003e\n\u003ctd\u003e38s \/ 30fps\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth\u003e3D-Yolo garbage recognition and sorting (program start time \/ program running frame)\u003c\/th\u003e\n\u003ctd\u003e64s \/ 5fps\u003c\/td\u003e\n\u003ctd\u003e9s \/ 30fps\u003c\/td\u003e\n\u003ctd\u003e6s \/ 30fps\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth\u003e3D-Mediapipe gesture machine code distance sorting (program start time \/ program running frame)\u003c\/th\u003e\n\u003ctd\u003e9s \/ 6fps\u003c\/td\u003e\n\u003ctd\u003e5s \/ 14fps\u003c\/td\u003e\n\u003ctd\u003e3s \/ 15fps\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth\u003e3D-tracking to grab color blocks (program start time \/ program running frame)\u003c\/th\u003e\n\u003ctd\u003e8s \/ 10fps\u003c\/td\u003e\n\u003ctd\u003e4s \/ 14fps\u003c\/td\u003e\n\u003ctd\u003e2s \/ 15fps\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth\u003eAI large model for object sorting (program start time \/ program running frame)\u003c\/th\u003e\n\u003ctd\u003e40s \/ 5fps\u003c\/td\u003e\n\u003ctd\u003e25s \/ 30fps\u003c\/td\u003e\n\u003ctd\u003e20s \/ 30fps\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\u003c\/table\u003e\u003ch2\u003eApplications\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003e3D vision detection and grasping; spatial perception; object tracking; 3D sorting\u003c\/li\u003e\n\u003cli\u003eDepth ranging (distance measurement), shape recognition, height measurement, volume measurement\u003c\/li\u003e\n\u003cli\u003eDepth vision positioning and tracking; 3D spatial tracking and grasping; 3D point cloud recognition\u003c\/li\u003e\n\u003cli\u003eAI-powered visual interaction: intelligent sorting and handling, color recognition, dynamic tracking, garbage sorting, tracking, grasping\u003c\/li\u003e\n\u003cli\u003eMultimodal workflows described: video analysis, long-command motion control, abnormal height sorting, intent inference (RAG knowledge base), KCF object tracking algorithm, YOLOv11-based recognition tasks\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003eExample object dimensions shown for volumetric measurement demonstrations: 30*30*30mm Cube, 30*30*30mm Cylinder, 30*30*60mm Cylinder. Example distance overlays shown include 240.0mm and 190.0mm.\u003c\/p\u003e\u003ch2\u003eManuals\u003c\/h2\u003e\u003cp\u003eTutorial link: \u003ca href=\"http:\/\/www.yahboom.net\/study\/DOFBOT-Pro\" rel=\"noopener\" target=\"_blank\"\u003ehttp:\/\/www.yahboom.net\/study\/DOFBOT-Pro\u003c\/a\u003e\u003c\/p\u003e\u003ch2 id=\"details\"\u003eDetails\u003c\/h2\u003e\u003cdiv class=\"details-gallery\"\u003e\n\u003cimg alt=\"Hot-selling robotic arm comparison chart highlighting DOFBOT, DOFBOT SE, DOFBOT-PRO and JETCOBOT specs\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/DOFBOT-Pro-AI-Large-Model-3D-Depth-Vision-Robotic-Arm-for.jpg?v=1782293335\"\u003e\u003cp\u003eCompare popular desktop robotic arm options at a glance, including degrees of freedom, reach, gripper range, and control platforms.\u003c\/p\u003e\n\u003cimg alt=\"DOFBOT SE spec table with PC virtual machine control and core parameters for desktop ROS learning\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/DOFBOT-Pro-AI-Large-Model-3D-Depth-Vision-Robotic-Arm-for_18ad5a46-eaad-4a7b-a9e6-959e3d15fa81.jpg?v=1782293341\"\u003e\u003cp\u003eA quick spec snapshot helps choose the right model for ROS learning, simulation, and basic vision tasks.\u003c\/p\u003e\n\u003cimg alt=\"DOFBOT-PRO specs table with Jetson Nano\/Orin support, DABAI DCW2 depth camera, and 10.1-inch display\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/DOFBOT-Pro-AI-Large-Model-3D-Depth-Vision-Robotic-Arm-for_1a0fe56e-b095-4736-96ea-ed1b091e608c.jpg?v=1782293346\"\u003e\u003cp\u003eDOFBOT-PRO combines a 6-DOF arm, RGB+D depth sensing, and Jetson compatibility for 3D perception and grasping development.\u003c\/p\u003e\n\u003cimg alt=\"JETCOBOT comparison table listing 7-DOF structure, 270mm arm span, and USB HD camera options\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/DOFBOT-Pro-AI-Large-Model-3D-Depth-Vision-Robotic-Arm-for_52fe390a-dbc4-4bdb-89bf-1b0ef6424aa9.jpg?v=1782293352\"\u003e\u003cp\u003eAlternative configuration details are provided for users who need a different arm structure and camera setup.\u003c\/p\u003e\n\u003cimg alt=\"DOFBOT-PRO 3D depth vision robotic arm kit with depth camera and 10.1-inch display on desktop base\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/DOFBOT-Pro-AI-Large-Model-3D-Depth-Vision-Robotic-Arm-for_10556ee5-cbe0-4410-a2b7-f7ce58a2f403.jpg?v=1782293358\"\u003e\u003cp\u003eBuilt for ROS education and development, the kit pairs a compact 6-DOF arm with depth vision and an integrated desktop-style setup.\u003c\/p\u003e\n\u003cimg alt=\"DOFBOT-PRO product introduction poster explaining ROS education focus and 3D depth sensing capabilities\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/DOFBOT-Pro-AI-Large-Model-3D-Depth-Vision-Robotic-Arm-for_08f7e200-dd06-4ee5-a720-764a733c887b.jpg?v=1782293364\"\u003e\u003cp\u003eDesigned for motion planning and perception workflows such as kinematics, target recognition, tracking, and grasping in 3D space.\u003c\/p\u003e\n\u003cimg alt=\"Feature overview poster listing multimodal large-model fusion, 3D depth vision applications, and ROS development stack\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/DOFBOT-Pro-AI-Large-Model-3D-Depth-Vision-Robotic-Arm-for_284138e4-5c5e-4fcb-ae90-914b709b6329.jpg?v=1782293371\"\u003e\u003cp\u003eKey modules cover depth perception, AI interaction concepts, and software frameworks used in common robotics pipelines.\u003c\/p\u003e\n\u003cimg alt=\"Why choose DOFBOT PRO poster outlining multimodal AI, embedded intelligence apps, and hardware configuration highlights\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/DOFBOT-Pro-AI-Large-Model-3D-Depth-Vision-Robotic-Arm-for_9318f4d0-5290-449d-995f-03b31172d270.jpg?v=1782293377\"\u003e\u003cp\u003eHardware and software highlights summarize what’s included for building vision + ROS demos and classroom experiments.\u003c\/p\u003e\n\u003cimg alt=\"Jetson platform lineup image showing Nano 4GB and Jetson Orin Nano\/NX SUPER board options for DOFBOT-PRO\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/DOFBOT-Pro-AI-Large-Model-3D-Depth-Vision-Robotic-Arm-for_fc846e34-c8c4-411e-96e1-9199bc8a569e.jpg?v=1782293384\"\u003e\u003cp\u003eMultiple Jetson board options help scale from entry-level prototyping to higher-performance AI workloads.\u003c\/p\u003e\n\u003cimg alt=\"ROS robotic arm configurations chart comparing versions, controller recommendations, and function differences\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/DOFBOT-Pro-AI-Large-Model-3D-Depth-Vision-Robotic-Arm-for_4dd27946-991f-43d1-a86d-c0e8c6ae0138.jpg?v=1782293390\"\u003e\u003cp\u003eUse the configuration matrix to match the controller board and feature set to your ROS project requirements.\u003c\/p\u003e\n\u003cimg alt=\"3D depth vision functions graphic showing robotic arm depth sensing and a 2D vs 3D capability comparison\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/DOFBOT-Pro-AI-Large-Model-3D-Depth-Vision-Robotic-Arm-for_608754f6-b062-41b2-9f83-61a07012a3b8.jpg?v=1782293396\"\u003e\u003cp\u003eDepth vision adds distance-aware understanding for more reliable positioning, recognition, and grasp planning than 2D alone.\u003c\/p\u003e\n\u003cimg alt=\"Depth vision arm-camera integration poster demonstrating point cloud recognition and depth-based measurements\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/DOFBOT-Pro-AI-Large-Model-3D-Depth-Vision-Robotic-Arm-for_53f9901f-9daf-424c-a96f-127506e5583a.jpg?v=1782293403\"\u003e\u003cp\u003eArm-camera calibration supports tasks like point-cloud recognition and depth-based measurement for 3D-space interaction.\u003c\/p\u003e\n\u003cimg alt=\"Poster describing large language, voice, and vision large-model concepts for embodied intelligence workflows\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/DOFBOT-Pro-AI-Large-Model-3D-Depth-Vision-Robotic-Arm-for_0a0b8318-0918-4e24-8900-88c1a2e48ba3.jpg?v=1782293409\"\u003e\u003cp\u003eMultimodal interaction concepts include text, voice, and vision capabilities for building richer human–robot workflows.\u003c\/p\u003e\n\u003cimg alt=\"Multimodal large model applications poster: video analysis, command-based motion control, and intelligent handling demos\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/DOFBOT-Pro-AI-Large-Model-3D-Depth-Vision-Robotic-Arm-for_45572031-020f-4b3a-82f2-0d0368948b4f.jpg?v=1782293416\"\u003e\u003cp\u003eApplication examples focus on sorting and handling behaviors that combine perception with command-driven control.\u003c\/p\u003e\n\u003cimg alt=\"Embodied intelligence applications poster with color block tasks, visual tracking, garbage sorting, and intent inference\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/DOFBOT-Pro-AI-Large-Model-3D-Depth-Vision-Robotic-Arm-for_0e515aef-25a3-483a-b858-1349486ae59b.jpg?v=1782293422\"\u003e\u003cp\u003ePractical demos showcase tracking, sorting, and action selection tasks built around vision and interaction logic.\u003c\/p\u003e\n\u003cimg alt=\"Fun AI large model gameplay poster showing classroom-style tasks like math, problem solving, analysis, and spelling\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/DOFBOT-Pro-AI-Large-Model-3D-Depth-Vision-Robotic-Arm-for_45cefd37-e8b2-46cb-b5e3-e185041eb1d6.jpg?v=1782293429\"\u003e\u003cp\u003eInteractive challenge-style activities provide approachable scenarios for testing perception, reasoning, and control loops.\u003c\/p\u003e\n\u003cimg alt=\"AI vision recognition and target tracking poster with color recognition, sorting, catch game, and label recognition tasks\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/DOFBOT-Pro-AI-Large-Model-3D-Depth-Vision-Robotic-Arm-for_46e02d5d-d541-4d55-be6b-1cdd11ec3694.jpg?v=1782293435\"\u003e\u003cp\u003eVision recognition examples cover color-based tracking, block sorting, interactive games, and label-based stacking.\u003c\/p\u003e\n\u003cimg alt=\"Deep learning training poster highlighting upgraded YOLO v11 model performance and training\/latency comparison charts\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/DOFBOT-Pro-AI-Large-Model-3D-Depth-Vision-Robotic-Arm-for_ae2f2732-1cc7-4443-a859-53b4a0d6d3ce.jpg?v=1782293442\"\u003e\u003cp\u003eTraining notes and performance curves outline the included deep-learning workflow direction for object detection tasks.\u003c\/p\u003e\n\u003cimg alt=\"Infographic of DOFBOT Pro 6‑DOF robotic arm features, including MediaPipe gesture control, kinematics, and MoveIt simulation\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/DOFBOT-Pro-AI-Large-Model-3D-Depth-Vision-Robotic-Arm-for_f711bf25-4a3a-4c0d-9c3b-66f62afdb7a4.jpg?v=1782293448\"\u003e\u003cp\u003eDOFBOT Pro supports MediaPipe-based gesture interaction, forward\/inverse kinematics, and MoveIt simulation control for setup and development workflows.\u003c\/p\u003e\n\u003cimg alt=\"Infographic of DOFBOT Pro 6-DOF robotic arm MoveIt kinematics, trajectory planning, collision detection, and ROS\/ROS2 support\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/DOFBOT-Pro-AI-Large-Model-3D-Depth-Vision-Robotic-Arm-for_36217f86-2c31-4a41-b020-4a5ee129d47b.jpg?v=1782293455\"\u003e\u003cp\u003eDOFBOT Pro supports MoveIt kinematics simulation with trajectory planning, collision detection, and ROS\/ROS2 (Humble) workflows for motion control.\u003c\/p\u003e\n\u003cimg alt=\"DOFBOT Pro 6DOF robotic arm poster with cross-platform remote control options and labeled J1–J6 joint diagram\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/DOFBOT-Pro-AI-Large-Model-3D-Depth-Vision-Robotic-Arm-for_9fc65bcc-2105-424b-a47b-d837c1a81075.jpg?v=1782293461\"\u003e\u003cp\u003eDOFBOT Pro supports app control, web control, and a USB wireless remote, with a 6-DOF joint layout labeled J1–J6 for precise setup and movement planning.\u003c\/p\u003e\n\u003cimg alt=\"DOFBOT Pro 6-DOF robotic arm with Jetson Nano-class controller, DaBai DCW2 depth camera, and serial bus servos\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/DOFBOT-Pro-AI-Large-Model-3D-Depth-Vision-Robotic-Arm-for_ee4385ae-2821-4d47-934c-2808d1c55078.jpg?v=1782293468\"\u003e\u003cp\u003eThe DOFBOT Pro 6-DOF robotic arm pairs a Jetson-based control board with a DaBai DCW2 depth camera and intelligent serial bus servos for vision-guided motion projects.\u003c\/p\u003e\n\u003cimg alt=\"DOFBOT Pro robotic arm expansion board layout with labeled ports, plus voice module and 10.1-inch touchscreen add-ons\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/DOFBOT-Pro-AI-Large-Model-3D-Depth-Vision-Robotic-Arm-for_b679daa2-1d7b-4fbf-a2f5-41489015b9e5.jpg?v=1782293475\"\u003e\u003cp\u003eThe DOFBOT Pro setup includes a robotic arm expansion board layout and supports add-ons like a voice module and a 10.1-inch touch screen for control.\u003c\/p\u003e\n\u003cimg alt=\"Screenshot of DOFBOT-PRO course outline webpage with laptop banner and a detailed training module table\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/DOFBOT-Pro-AI-Large-Model-3D-Depth-Vision-Robotic-Arm-for_b6aeac11-6fb3-4f10-bdd8-b9d99892321d.jpg?v=1782293481\"\u003e\u003cp\u003eThe DOFBOT-PRO course outline breaks down the training modules and learning goals to help plan setup and development steps.\u003c\/p\u003e\n\u003cimg alt=\"Folder list of DOFBOT Pro robotic arm open-source code and tutorial packages for visual tracking and depth camera courses\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/DOFBOT-Pro-AI-Large-Model-3D-Depth-Vision-Robotic-Arm-for_90071628-d5f5-45e6-9587-73ca2d5e8d9f.jpg?v=1782293488\"\u003e\u003cp\u003eDOFBOT Pro includes organized open-source code and step-by-step tutorial folders covering 2D\/3D visual tracking, sorting and gripping, and depth camera workflows.\u003c\/p\u003e\n\u003cimg alt=\"Screenshot of DOFBOT Pro support resources showing tutorial folders, ROS2 lessons, 3D model files, and open-source Python code\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/DOFBOT-Pro-AI-Large-Model-3D-Depth-Vision-Robotic-Arm-for_011f3d80-d95f-4b2e-9e21-eb5b83cd0a99.jpg?v=1782293495\"\u003e\u003cp\u003eDOFBOT Pro includes downloadable video tutorials, ROS2 learning materials, a 3D model file, and open-source Python code for development on Jetson boards.\u003c\/p\u003e\n\u003cimg alt=\"DOFBOT Pro 6-DOF depth vision robotic arm dimensions diagram with key measurements and specs overview\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/DOFBOT-Pro-AI-Large-Model-3D-Depth-Vision-Robotic-Arm-for_78c5542f-08d1-465d-b3b3-4cfa78a717ef.jpg?v=1782293502\"\u003e\u003cp\u003eDimension drawings and a spec overview help you plan mounting space and system integration for the DOFBOT Pro 6-DOF robotic arm.\u003c\/p\u003e\n\u003cimg alt=\"DOFBOT Pro robotic arm kit shipping list with arm, controller board, power adapter, cables, tools and accessories\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/DOFBOT-Pro-AI-Large-Model-3D-Depth-Vision-Robotic-Arm-for_d953d677-6b62-4a94-a7d9-54b37ba754ad.jpg?v=1782293508\"\u003e\u003cp\u003eThe DOFBOT Pro kit includes the robotic arm with a set of standard accessories such as controller hardware, power and data cables, and basic tools for assembly and setup.\u003c\/p\u003e\n\u003c\/div\u003e","brand":"Yahboom","offers":[{"title":"Standard-Without \/ NANO 4GB SUB","offer_id":53135705538784,"sku":"3000200927-1","price":603.8,"currency_code":"USD","in_stock":true},{"title":"Standard-Without \/ OrinNANO SUPER-4GB","offer_id":53135705571552,"sku":"3000200927-2","price":675.8,"currency_code":"USD","in_stock":true},{"title":"Standard-Without \/ OrinNANO SUPER-8GB","offer_id":53135705604320,"sku":"3000200927-3","price":675.8,"currency_code":"USD","in_stock":true},{"title":"Standard-Without \/ OrinNX 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Kit","description":"\u003ch2\u003eOverview\u003c\/h2\u003e\u003cp\u003eDOFBOT SE is an AI large model vision \u003cstrong\u003erobotic arm\u003c\/strong\u003e (virtual machine version) from Yahboom. It is a 6 DOF desktop robotic arm that generates control decisions on a PC-side virtual machine and drives the joints through an STM32 controller. The system is designed around ROS2 to support kinematics (forward\/inverse), motion planning, MoveIt simulation, and collision detection, while also enabling AI vision interaction for tasks such as color recognition tracking and object grasping.\u003c\/p\u003e\u003ch2\u003eKey Features\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003ePC virtual machine main control\u003c\/strong\u003e: uses a PC virtual machine to replace ARM development boards; \u003cstrong\u003eMac not supported\u003c\/strong\u003e.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eROS2 development\u003c\/strong\u003e: ROS2 robot control system (image specifies \u003cstrong\u003eROS2 Humble\u003c\/strong\u003e), supporting motion planning, simulation, and related workflows.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003e6 DOF serial bus servo control\u003c\/strong\u003e: integrated control for multi-joint motion and grasping.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eAI vision interaction\u003c\/strong\u003e: plane 2D vision with functions such as color recognition\/tracking\/grabbing and gesture recognition.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eAI large model interaction (feature availability depends on version)\u003c\/strong\u003e: images describe multimodal capabilities (text\/voice\/vision) including scalable RAG knowledge base, natural voice dialogue, and visual scene understanding.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eMultiple control methods\u003c\/strong\u003e: text states mobile app, wireless handle, and PC software control.\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch2\u003eSpecifications\u003c\/h2\u003e\u003ctable\u003e\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003eModel\u003c\/td\u003e\n\u003ctd\u003eDOFBOT SE (Virtual machine version)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eMaster control\u003c\/td\u003e\n\u003ctd\u003ePC virtual machine\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eDegree of freedom\u003c\/td\u003e\n\u003ctd\u003e6\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eArm span\u003c\/td\u003e\n\u003ctd\u003e350mm\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eGripper open-close angle\u003c\/td\u003e\n\u003ctd\u003e6cm\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eRepeatable positioning accuracy\u003c\/td\u003e\n\u003ctd\u003e±0.5mm\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eStructure type\u003c\/td\u003e\n\u003ctd\u003eTraditional robotic arm structure\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eCamera\u003c\/td\u003e\n\u003ctd\u003eUSB HD camera\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eVisual dimension\u003c\/td\u003e\n\u003ctd\u003ePlane 2D image\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eVoice\u003c\/td\u003e\n\u003ctd\u003eAI large model voice module + speaker\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eDisplay\u003c\/td\u003e\n\u003ctd\u003e\/\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eFunctions (image text)\u003c\/td\u003e\n\u003ctd\u003eInterconnection control; MoveIt motion planning; Rviz robot simulation; 2D visual interaction; voice interaction; AI large model\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003ePositioning (image text)\u003c\/td\u003e\n\u003ctd\u003eVirtual machine version entry-level AI large model robotic arm\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eROS system (image text)\u003c\/td\u003e\n\u003ctd\u003eROS2 Humble\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\u003c\/table\u003e\u003cp\u003e\u003cstrong\u003eCamera resolution note:\u003c\/strong\u003e the provided text description mentions a \u003cstrong\u003e0.3MP camera\u003c\/strong\u003e, and also states a \u003cstrong\u003e30MP camera module\u003c\/strong\u003e under “Professional hardware configuration”. Images specify a \u003cstrong\u003eUSB HD camera\u003c\/strong\u003e but do not show a megapixel value. For confirmation of the exact camera module shipped, contact \u003ca href=\"mailto:support@rcdrone.top\"\u003esupport@rcdrone.top\u003c\/a\u003e or visit https:\/\/rcdrone.top\/.\u003c\/p\u003e\u003ch2\u003eSoftware \u0026amp; Control\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003eROS2 control\u003c\/strong\u003e: simplifies 6 DOF serial bus servo motion control; supports forward solution, inverse solution, and motion planning (text).\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eMoveIt + RViz\u003c\/strong\u003e: images list MoveIt motion planning and RViz robotic arm simulation.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eVirtual machine serial communication\u003c\/strong\u003e: images describe sending instructions from the virtual machine to an STM32 co-processor through a serial port to drive each joint.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eRemote control methods (text)\u003c\/strong\u003e: mobile app, wireless handle, and PC software.\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch2\u003eAI Vision, Gesture, and Model Training (as described)\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003eAI visual recognition\/target tracking\u003c\/strong\u003e: color recognition \u0026amp; tracking; color grabbing; color interaction; waste sorting; color block stacking; “grab game”.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eGesture interaction (MediaPipe)\u003c\/strong\u003e: gesture control robotic arm action group; gesture recognition control stack; attitude control robotic arm; robotic arm recognition and tracking of palm.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eAlgorithm frameworks (image text)\u003c\/strong\u003e: inverse kinematics algorithm; YOLOv11; OpenCV; MediaPipe.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eDeep learning \u0026amp; model training (image text)\u003c\/strong\u003e: supports custom training and model quantification deployment; examples shown include garbage classification and model training (YOLOv11 case presentation).\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003e\u003cstrong\u003eNotes shown in images:\u003c\/strong\u003e “The trash can is not included in the shipping list.” “Model training requires users to train themselves.”\u003c\/p\u003e\u003ch2\u003eVersion Differences (image text)\u003c\/h2\u003e\u003ctable\u003e\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003c\/td\u003e\n\u003ctd\u003eStandard Version\u003c\/td\u003e\n\u003ctd\u003eSuperior Version\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eSupport main control\u003c\/td\u003e\n\u003ctd colspan=\"2\"\u003ePC Virtual Machine\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eAI large model voice module\u003c\/td\u003e\n\u003ctd\u003eNo\u003c\/td\u003e\n\u003ctd\u003eYes\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eAI large model function\u003c\/td\u003e\n\u003ctd\u003eNo\u003c\/td\u003e\n\u003ctd\u003eYes\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eAI visual interaction\u003c\/td\u003e\n\u003ctd\u003eYes\u003c\/td\u003e\n\u003ctd\u003eYes\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eROS system\u003c\/td\u003e\n\u003ctd colspan=\"2\"\u003eROS2 Humble\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eRecommended users\u003c\/td\u003e\n\u003ctd\u003eSuitable for learning AI visual functions\u003c\/td\u003e\n\u003ctd\u003eSuitable for learning AI large model, AI voice interaction, and AI visual function applications\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\u003c\/table\u003e\u003ch2\u003eApplications\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003eROS2 learning and research: kinematics, motion planning, MoveIt simulation, and collision detection.\u003c\/li\u003e\n\u003cli\u003eAI vision demos: object tracking, color recognition, grasping and placement, and sorting workflows.\u003c\/li\u003e\n\u003cli\u003eMultimodal interaction demos (as described): video parsing, long command action control, intelligent handling, and 3D space sorting.\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch2\u003eTutorials \u0026amp; Videos\u003c\/h2\u003e\u003cp\u003e\u003ca href=\"http:\/\/www.yahboom.net\/study\/DOFBOT_SE\" rel=\"noopener\" target=\"_blank\"\u003eTutorial link: Yahboom DOFBOT SE Robotic Arm\u003c\/a\u003e\u003c\/p\u003e\u003ciframe height=\"751\" src=\"https:\/\/www.youtube.com\/embed\/uKEDqF9wWbc\" title=\"DOFBOT SE AI Large Model Meets 6DOF ROS2 Robotic Arm\" width=\"1335\"\u003e\u003c\/iframe\u003e\u003ciframe height=\"420\" src=\"https:\/\/www.youtube.com\/embed\/UPPSitFJs5s\" title=\"DOFBOT SE AI Vision Robotic Arm with ROS2 Python Programming (Virtual Machine Version)\" width=\"600\"\u003e\u003c\/iframe\u003e\u003ch2 id=\"details\"\u003eDetails\u003c\/h2\u003e\u003cdiv class=\"details-gallery\"\u003e\n\u003cimg alt=\"Yahboom DOFBOT SE 6DOF robotic arm (virtual machine version) kit overview and key specs table\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/DOFBOT-SE-AI-Large-Model-Vision-Robotic-Arm-with-ROS2-Python.jpg?v=1782288138\"\u003e\u003cp\u003eDOFBOT SE pairs a 6‑DOF desktop arm with PC-side virtual machine control and ROS2 Humble workflows for learning and development.\u003c\/p\u003e\n\u003cimg alt=\"DOFBOT SE virtual machine main control comparison table with arm span, accuracy and supported functions\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/DOFBOT-SE-AI-Large-Model-Vision-Robotic-Arm-with-ROS2-Python_05a5ee06-2a7f-4bc0-b69f-d1492a701cc8.jpg?v=1782288144\"\u003e\u003cp\u003eVirtual machine main control reduces hardware dependency while keeping core functions like motion planning, RViz simulation, and 2D visual interaction.\u003c\/p\u003e\n\u003cimg alt=\"DOFBOT-PRO configuration chart with depth camera option and 3D spatial vision notes\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/DOFBOT-SE-AI-Large-Model-Vision-Robotic-Arm-with-ROS2-Python_74ed15d0-b225-48d2-884e-15463bc6adfd.jpg?v=1782288149\"\u003e\u003cp\u003eA higher configuration adds depth-based 3D visual interaction for spatial perception and grasping applications.\u003c\/p\u003e\n\u003cimg alt=\"JETCOBOT configuration chart listing 7 DOF and ROS\/MoveIt-related functions\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/DOFBOT-SE-AI-Large-Model-Vision-Robotic-Arm-with-ROS2-Python_88ebc919-8e77-4d29-890c-02028f41df03.jpg?v=1782288163\"\u003e\u003cp\u003eOther arm options in the series highlight different DOF and structure choices for specific research and teaching needs.\u003c\/p\u003e\n\u003cimg alt=\"Infographic: PC virtual machine replaces ARM development boards, comparing DOFBOT SE vs Raspberry Pi\/Jetson control\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/DOFBOT-SE-AI-Large-Model-Vision-Robotic-Arm-with-ROS2-Python_ce04ce62-d044-4fea-b711-07373d5fd0af.jpg?v=1782288171\"\u003e\u003cp\u003eCompared with ARM development boards, the PC virtual machine approach emphasizes easier expansion, backup\/restore, and cost-effective development.\u003c\/p\u003e\n\u003cimg alt=\"Jetson version banner button for robotic arm kits\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/DOFBOT-SE-AI-Large-Model-Vision-Robotic-Arm-with-ROS2-Python.webp?v=1782288183\"\u003e\u003cimg alt=\"DOFBOT SE product introduction poster for virtual machine version, AI large model vision and ROS2 development\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/DOFBOT-SE-AI-Large-Model-Vision-Robotic-Arm-with-ROS2-Python_01416d6c-95ed-41ac-8d6e-f2eb4a7cda34.jpg?v=1782288197\"\u003e\u003cp\u003eBuilt for ROS2 development, DOFBOT SE supports AI vision interaction and multi-joint servo control in a compact desktop form.\u003c\/p\u003e\n\u003cimg alt=\"Feature overview: multimodal AI, 6DOF integrated arm, visual interaction apps, accessories, tutorials, virtual machine control\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/DOFBOT-SE-AI-Large-Model-Vision-Robotic-Arm-with-ROS2-Python_df512a72-d071-4f51-8362-3cd52809e66d.jpg?v=1782288203\"\u003e\u003cp\u003eMultimodal interaction, visual applications, and step-by-step tutorials help move from first motion to practical AI vision tasks.\u003c\/p\u003e\n\u003cimg alt=\"Differences in configuration chart comparing standard vs superior versions and supported AI\/ROS features\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/DOFBOT-SE-AI-Large-Model-Vision-Robotic-Arm-with-ROS2-Python_18f5ed0d-7793-4d20-8545-e2b996419e6b.jpg?v=1782288210\"\u003e\u003cp\u003eChoose the configuration that matches your needs, from ROS2 Humble basics to expanded AI large model capabilities.\u003c\/p\u003e\n\u003cimg alt=\"Deploying AI large models page covering language, voice and vision model interaction examples\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/DOFBOT-SE-AI-Large-Model-Vision-Robotic-Arm-with-ROS2-Python_0ad4a047-63a3-4eae-8717-0307a9f70dae.jpg?v=1782288218\"\u003e\u003cp\u003eLarge language, voice, and vision models enable more natural command and feedback during robotic arm operation.\u003c\/p\u003e\n\u003cimg alt=\"Multimodal large model applications: video parsing, long command action control, intelligent handling and 3D sorting\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/DOFBOT-SE-AI-Large-Model-Vision-Robotic-Arm-with-ROS2-Python_818cf93d-bf97-4d35-bb9d-a2c02c723510.jpg?v=1782288225\"\u003e\u003cp\u003eApplication demos focus on turning natural commands into repeatable actions like handling and sorting sequences.\u003c\/p\u003e\n\u003cimg alt=\"Embodied intelligence demos: color block return, visual tracking, garbage sorting and intentional speculation tasks\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/DOFBOT-SE-AI-Large-Model-Vision-Robotic-Arm-with-ROS2-Python_d6a30b62-8c96-4db8-872b-cea2ff82dbd5.jpg?v=1782288232\"\u003e\u003cimg alt=\"AI large model functions grid: math, problem solving, nutrition analysis, English spelling, Q\u0026amp;A and cooking tasks\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/DOFBOT-SE-AI-Large-Model-Vision-Robotic-Arm-with-ROS2-Python_29411761-5b8c-45a3-9889-8181c4a7192b.jpg?v=1782288239\"\u003e\u003cp\u003eMultimodal understanding supports varied classroom-style scenarios such as Q\u0026amp;A, analysis, and guided task execution.\u003c\/p\u003e\n\u003cimg alt=\"AI visual recognition and target tracking: color tracking, grab game, color grabbing, waste sorting and stacking\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/DOFBOT-SE-AI-Large-Model-Vision-Robotic-Arm-with-ROS2-Python_910f1927-ca01-46d0-b198-2685663b8253.jpg?v=1782288246\"\u003e\u003cp\u003e2D vision functions include color recognition, target tracking, and guided grasping for interactive tabletop projects.\u003c\/p\u003e\n\u003cimg alt=\"MediaPipe gesture control and deep learning training examples for classification and model training\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/DOFBOT-SE-AI-Large-Model-Vision-Robotic-Arm-with-ROS2-Python_3dbcb6ed-429c-4da7-a416-ae128e33c5fe.jpg?v=1782288253\"\u003e\u003cp\u003eGesture recognition and model training content extends interaction beyond the gripper for richer AI control experiments.\u003c\/p\u003e\n\u003cimg alt=\"Inverse kinematics algorithm and MoveIt simulation control screen for DOFBOT SE robotic arm\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/DOFBOT-SE-AI-Large-Model-Vision-Robotic-Arm-with-ROS2-Python_26de6dac-ab32-4801-bafb-6cba7a9a7767.jpg?v=1782288259\"\u003e\u003cp\u003eROS2 kinematics plus MoveIt simulation helps validate trajectories before running motions on the real arm.\u003c\/p\u003e\n\u003cimg alt=\"URDF kinematic simulation model in RViz with trajectory planning, collision detection and spatial grasp examples\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/DOFBOT-SE-AI-Large-Model-Vision-Robotic-Arm-with-ROS2-Python_0cace1c8-1799-4e1a-8d90-5f252f7cb0ad.jpg?v=1782288266\"\u003e\u003cimg alt=\"ROS robot operating system page: ROS2 Humble badge and cross-platform remote control options (app, PC, handle)\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/DOFBOT-SE-AI-Large-Model-Vision-Robotic-Arm-with-ROS2-Python_258d303c-0d38-4c57-b87d-fdba3c485e7f.jpg?v=1782288273\"\u003e\u003cp\u003eROS2 Humble support and multiple control methods—mobile app, PC control, and wireless handle—fit different learning setups.\u003c\/p\u003e\n\u003cimg alt=\"Yahboom DOFBOT SE robotic arm app control screen showing gesture grabbing plus remote, tracking, calibration, and sorting modes\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/DOFBOT-SE-AI-Large-Model-Vision-Robotic-Arm-with-ROS2-Python_9ed6a1ed-bb98-46c1-b6ad-e5a2c485135f.jpg?v=1782288279\"\u003e\u003cp\u003eThe DOFBOT SE app includes gesture grabbing along with remote control, tracking, servo calibration, and sorting modes for flexible operation.\u003c\/p\u003e\n\u003cimg alt=\"Yahboom DOFBOT SE 6DOF robotic arm demo with face tracking UI and custom action group learning controls\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/DOFBOT-SE-AI-Large-Model-Vision-Robotic-Arm-with-ROS2-Python_1d248e84-18a5-4b02-9def-ffe445b120f9.jpg?v=1782288286\"\u003e\u003cp\u003eThe DOFBOT SE robotic arm supports face recognition tracking and custom action group learning for repeatable motion sequences.\u003c\/p\u003e\n\u003cimg alt=\"Yahboom DOFBOT SE 6-DOF robotic arm with USB camera and labeled joints J1–J6 on base platform\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/DOFBOT-SE-AI-Large-Model-Vision-Robotic-Arm-with-ROS2-Python_24825301-3021-4fb0-a596-fc7c11e33b4d.jpg?v=1782288293\"\u003e\u003cp\u003eThe DOFBOT SE 6-DOF robotic arm kit features a USB camera, STM32 core board, and clearly labeled J1–J6 joints, with optional speaker and AI voice module support.\u003c\/p\u003e\n\u003cimg alt=\"Yahboom DOFBOT SE 6DOF robotic arm kit with intelligent serial bus servos and labeled extension board layout\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/DOFBOT-SE-AI-Large-Model-Vision-Robotic-Arm-with-ROS2-Python_12e3888f-159f-4ac6-bdd8-8ca5faa090a5.jpg?v=1782288300\"\u003e\u003cp\u003eThe DOFBOT SE kit combines a 6DOF servo-driven arm with an expansion board that provides clearly labeled ports and headers for wiring peripherals and power.\u003c\/p\u003e\n\u003cimg alt=\"Yahboom DOFBOT SE kit accessories with USB camera module, 2.4G wireless gamepad receiver board, and voice module\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/DOFBOT-SE-AI-Large-Model-Vision-Robotic-Arm-with-ROS2-Python_460f4687-6b46-402c-a102-a95208eab8dd.jpg?v=1782288307\"\u003e\u003cp\u003eThe DOFBOT SE kit includes a USB camera module, a 2.4G wireless handle with receiver board, and an AI voice module with speaker and wiring for easy integration.\u003c\/p\u003e\n\u003cimg alt=\"Yahboom DOFBOT SE course outline displayed on a laptop screen with modules for setup, programming, and vision lessons\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/DOFBOT-SE-AI-Large-Model-Vision-Robotic-Arm-with-ROS2-Python_4e82fb47-899b-4ad6-b48d-aac16deee7ef.jpg?v=1782288314\"\u003e\u003cp\u003eThe DOFBOT SE course outline covers setup, calibration, remote control, and programming lessons, including AI vision modules.\u003c\/p\u003e\n\u003cimg alt=\"Course outline screenshot for Yahboom DOFBOT SE 6DOF robotic arm kit, listing AI large model and ROS2\/Python lessons\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/DOFBOT-SE-AI-Large-Model-Vision-Robotic-Arm-with-ROS2-Python_5bd67b03-338b-403c-9329-596dedb7caea.jpg?v=1782288321\"\u003e\u003cp\u003eThe kit’s learning outline covers large model basics, environment setup, and practical projects like configuring an API key and integrating AI features.\u003c\/p\u003e\n\u003cimg alt=\"Yahboom DOFBOT SE tutorial and open-source code list showing course folders and ROS2\/AI video tutorial sections\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/DOFBOT-SE-AI-Large-Model-Vision-Robotic-Arm-with-ROS2-Python_2bd829a3-2b9b-478f-8c2c-dafeda27cedc.jpg?v=1782288328\"\u003e\u003cp\u003eThe kit includes structured open-source code resources and step-by-step video tutorials covering AI large-model features and ROS2 basics.\u003c\/p\u003e\n\u003cimg alt=\"Yahboom DOFBOT SE robotic arm kit graphic offering 3D model file and technical support\/after-sales service chat examples\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/DOFBOT-SE-AI-Large-Model-Vision-Robotic-Arm-with-ROS2-Python_a2cb6c3b-a446-4e79-818d-2d8ce02f1be0.jpg?v=1782288335\"\u003e\u003cp\u003eThe DOFBOT SE kit includes access to a simple 3D model file and provides technical support with after-sales service.\u003c\/p\u003e\n\u003cimg alt=\"DOFBOT SE 6DOF robotic arm dimensions drawing with millimeter measurements and key specs like Pi, Ubuntu 22.04 and ROS2 Humble.\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/DOFBOT-SE-AI-Large-Model-Vision-Robotic-Arm-with-ROS2-Python_1fa3c0eb-1251-4a30-bbde-633599f019b6.jpg?v=1782288342\"\u003e\u003cp\u003eDOFBOT SE includes a millimeter dimension outline and a quick spec list covering the onboard platform and software environment such as Ubuntu 22.04 with ROS2 Humble and Python.\u003c\/p\u003e\n\u003cimg alt=\"Shipping list for Yahboom DOFBOT SE 6DOF robotic arm kit with STM32 core board, camera, controller and cables\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/DOFBOT-SE-AI-Large-Model-Vision-Robotic-Arm-with-ROS2-Python_c27a73c0-2fd8-4274-9b59-9df8bf94c58c.jpg?v=1782288347\"\u003e\u003cp\u003eThe DOFBOT SE kit includes the robotic arm body and chassis, STM32 core board, camera with bracket, 2.4G wireless handle, cables, tools, and an instruction manual.\u003c\/p\u003e\n\u003c\/div\u003e","brand":"Yahboom","offers":[{"title":"Standard Kit","offer_id":53135751708896,"sku":"6000200986-1","price":363.8,"currency_code":"USD","in_stock":true},{"title":"Superior Kit","offer_id":53135751741664,"sku":"6000200986-2","price":399.8,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0643\/3210\/3904\/files\/1_50094e44-c569-4b29-919b-fafa81899ec6.jpg?v=1782124337"},{"product_id":"yahboom-microros-esp32-robot","title":"ESP32 MicroROS Robot Car Kit (VM Controller), ROS2 Humble, TOF Lidar, 7.4V 2000mAh - Mac Not Supported","description":"\u003ch2\u003eOverview\u003c\/h2\u003e\u003cp\u003eESP32 MicroROS Robot Car Virtual Machine as controller (Mac Not Support) is a ROS2 educational robot car that offloads complex computing tasks to a PC virtual machine environment. The robot uses an onboard ESP32 co-processor and MicroROS WiFi UDP communication to transmit sensor\/data to the PC virtual machine, where calculations are completed and control decisions are generated.\u003c\/p\u003e\u003cp\u003eThis platform supports ROS2 Humble and Python3 programming, and is designed for learning and development workflows including lidar obstacle avoidance, following, mapping navigation, RViz simulation, and multi-machine synchronization control.\u003c\/p\u003e\u003ch2\u003eKey Features\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003eVirtual machine master control:\u003c\/strong\u003e Uses a PC-side virtual machine as the master controller to reduce learning cost, improve algorithm computing efficiency, and support DIY\/upgrades. \u003cstrong\u003eNote:\u003c\/strong\u003e Mac system is not supported.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eOnboard ESP32 processor:\u003c\/strong\u003e Built-in Wi-Fi and Bluetooth functions; supports MicroROS for real-time data transmission between the robot and the virtual machine.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eROS2 Humble support:\u003c\/strong\u003e This product uses ROS2 Humble.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eMulti-master support:\u003c\/strong\u003e In addition to the PC virtual machine master, also supports using Raspberry Pi 5 or Jetson Nano as the desktop master to communicate with the chassis (with supporting usage documents and corresponding system image).\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eTOF lidar functions:\u003c\/strong\u003e Lidar obstacle avoidance, lidar tracking, lidar guard, and lidar patrol.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eRemote control options:\u003c\/strong\u003e iOS\/Android APP remote control; multi-machine handle\/keyboard control in real time for synchronous movements. \u003cstrong\u003eHandle controller is not included.\u003c\/strong\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eRobot information release:\u003c\/strong\u003e The chassis can release control data from sensors such as radar, IMU, speed, and buzzer to the virtual machine.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eChassis \u0026amp; power:\u003c\/strong\u003e Aluminum alloy body; 4PCS 310 encoder motor; 7.4V large capacity battery pack.\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch2\u003eSpecifications\u003c\/h2\u003e\u003ch3\u003eESP32 (Onboard processor)\u003c\/h3\u003e\u003ctable\u003e\n\u003ctr\u003e\n\u003cth\u003eESP32 model\u003c\/th\u003e\n\u003ctd\u003eESP32-S3-WROOM-1U-N4R2\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth\u003eKernel\u003c\/th\u003e\n\u003ctd\u003eXtensa LX7 32-bit dual-core microprocessor\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth\u003eNumber of pins\u003c\/th\u003e\n\u003ctd\u003e41\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth\u003eNumber of GPIOs\u003c\/th\u003e\n\u003ctd\u003e36\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth\u003eMain frequency clock\u003c\/th\u003e\n\u003ctd\u003e240MHz\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth\u003eSRAM\u003c\/th\u003e\n\u003ctd\u003e512KB\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth\u003eROM\u003c\/th\u003e\n\u003ctd\u003e384KB\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth\u003ePSRAM\u003c\/th\u003e\n\u003ctd\u003e2MB\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth\u003eFlash\u003c\/th\u003e\n\u003ctd\u003e4MB\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth\u003eOperating voltage\u003c\/th\u003e\n\u003ctd\u003e3V~3.6V\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth\u003eWIFI\u003c\/th\u003e\n\u003ctd\u003eIEEE 802.11 b\/g\/n; 2.4 GHz\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth\u003eBT\u003c\/th\u003e\n\u003ctd\u003eV5.0\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth\u003eCommunication Interface\u003c\/th\u003e\n\u003ctd\u003eSPI, I2S, I2C, UART, USB OTG, SDIO, JTAG, DVP, LCD\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth\u003eOperating temperature\u003c\/th\u003e\n\u003ctd\u003e-40~85C\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/table\u003e\u003ch3\u003eTOF high-performance lidar (ORBBEC MS200)\u003c\/h3\u003e\u003cp\u003eMS200 adopts TOF ranging method, withstands 30Klux of strong light, supports indoor and outdoor mapping navigation, measurement radius up to 12m, a measurement blind zone only 3cm, ranging error 2mm within 2 meters, sampling frequency 4500 times\/s, and scanning frequency 7Hz~15Hz, support 230400bps communication rate.\u003c\/p\u003e\u003ctable\u003e\n\u003ctr\u003e\n\u003cth\u003eRanging principle\u003c\/th\u003e\n\u003ctd\u003eTOF ranging\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth\u003eScan angle\u003c\/th\u003e\n\u003ctd\u003e360 \u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth\u003eMeasurement angle accuracy\u003c\/th\u003e\n\u003ctd\u003e0.8 \u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth\u003eResistance to ambient light intensity\u003c\/th\u003e\n\u003ctd\u003e30Klux\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth\u003eWeight\u003c\/th\u003e\n\u003ctd\u003e40g\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth\u003eWaterproof and dustproof\u003c\/th\u003e\n\u003ctd\u003eIP5X\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth\u003eMeasure radius\u003c\/th\u003e\n\u003ctd\u003eBlack object:12m\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth\u003eMinimum measuring distance\u003c\/th\u003e\n\u003ctd\u003e0.03m\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth\u003eRanging accuracy\u003c\/th\u003e\n\u003ctd\u003e\u0026lt;=4mm (0.2m~2m), \u0026lt;=15mm (2m~12m)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth\u003eSampling frequency\u003c\/th\u003e\n\u003ctd\u003e4500 times\/s\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth\u003eScanning frequency\u003c\/th\u003e\n\u003ctd\u003e7Hz~15Hz\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth\u003eDimensions\u003c\/th\u003e\n\u003ctd\u003e37.7*37.5*33mm\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth\u003eCommunication rate\u003c\/th\u003e\n\u003ctd\u003e230400\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth\u003eCommunication interface\u003c\/th\u003e\n\u003ctd\u003eStandard asynchronous serial port (UART)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth\u003eDrive mode\u003c\/th\u003e\n\u003ctd\u003eBuilt-in brushless motor\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth\u003ePower supply\u003c\/th\u003e\n\u003ctd\u003eDC5.0 .5V\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth\u003eROS support\u003c\/th\u003e\n\u003ctd\u003eROS1\/ROS2\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth\u003eCertified file\u003c\/th\u003e\n\u003ctd\u003eROHS2.0,REACH,CE,FCC\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth\u003eWindows support\u003c\/th\u003e\n\u003ctd\u003eProvide PC software on Windows\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/table\u003e\u003ch3\u003e7.4V large capacity battery pack\u003c\/h3\u003e\u003cp\u003eMicroROS Robot is equipped with a 7.4V-2000mAh capacity battery with a battery life of up to 5 hours.\u003c\/p\u003e\u003ctable\u003e\n\u003ctr\u003e\n\u003cth\u003eRated voltage\u003c\/th\u003e\n\u003ctd\u003e7.4V\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth\u003eRated Capacity\u003c\/th\u003e\n\u003ctd\u003e2000mAh\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth\u003eRated current\u003c\/th\u003e\n\u003ctd\u003e15A(7.5C)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth\u003eMaximum discharge current\u003c\/th\u003e\n\u003ctd\u003e20A(10C)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth\u003eBatteries\u003c\/th\u003e\n\u003ctd\u003e18650*2\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth\u003eBattery size\u003c\/th\u003e\n\u003ctd\u003e67*37*22mm\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth\u003eWeight\u003c\/th\u003e\n\u003ctd\u003eAbout 115g\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth\u003eDischarge wire length\u003c\/th\u003e\n\u003ctd\u003e15cm(AWG14)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth\u003eCharging cable length\u003c\/th\u003e\n\u003ctd\u003e10cm\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth\u003eMaximum voltage\u003c\/th\u003e\n\u003ctd\u003e8.5V\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth\u003eCutoff discharge voltage\u003c\/th\u003e\n\u003ctd\u003e5.8V\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth\u003eCombination method\u003c\/th\u003e\n\u003ctd\u003eParallel\/Series connection\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth\u003eRated charging current\u003c\/th\u003e\n\u003ctd\u003e0.2C\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth\u003eMaximum charging current\u003c\/th\u003e\n\u003ctd\u003e1C\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth\u003eOvercharge protection\u003c\/th\u003e\n\u003ctd\u003eYes\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth\u003eOver-current protection\u003c\/th\u003e\n\u003ctd\u003eYes\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth\u003eOver discharge protection\u003c\/th\u003e\n\u003ctd\u003eYes\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth\u003eShort-circuit protection\u003c\/th\u003e\n\u003ctd\u003eYes\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/table\u003e\u003ch3\u003eMetal reduction motor with encoder\u003c\/h3\u003e\u003cp\u003eThe motor has a built-in Hall encoder for speed and position feedback control.\u003c\/p\u003e\u003ctable\u003e\n\u003ctr\u003e\n\u003cth\u003eMotor model\u003c\/th\u003e\n\u003ctd\u003eMD310Z20_7.4V\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth\u003eMotor rated voltage\u003c\/th\u003e\n\u003ctd\u003e7.4V\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth\u003eMotor type\u003c\/th\u003e\n\u003ctd\u003eMagnet with brush\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth\u003eGear set reduction ratio\u003c\/th\u003e\n\u003ctd\u003e1:20\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth\u003eOutput shaft\u003c\/th\u003e\n\u003ctd\u003e3mm diameter D type eccentric shaft\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth\u003eEncoder type\u003c\/th\u003e\n\u003ctd\u003eAB phase incremental Hall encoder\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth\u003eEncoder supply voltage\u003c\/th\u003e\n\u003ctd\u003e3.3-5V\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth\u003eMagnetic ring wire number\u003c\/th\u003e\n\u003ctd\u003e13 line\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth\u003eInterface Type\u003c\/th\u003e\n\u003ctd\u003ePH2.0 6Pin\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth\u003eSpeed before deceleration\u003c\/th\u003e\n\u003ctd\u003e9000rpm\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth\u003eSpeed after deceleration\u003c\/th\u003e\n\u003ctd\u003e450 rpm\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth\u003eRated torque\u003c\/th\u003e\n\u003ctd\u003e0.4kg*cm\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth\u003eStall torque\u003c\/th\u003e\n\u003ctd\u003e\u0026gt;=1.0kg*cm\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth\u003eRated current\u003c\/th\u003e\n\u003ctd\u003e\u0026lt;=0.65A\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth\u003eStall current\u003c\/th\u003e\n\u003ctd\u003e\u0026lt;=1.4A\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth\u003eRated power\u003c\/th\u003e\n\u003ctd\u003e4.8W\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth\u003eSingle motor weight\u003c\/th\u003e\n\u003ctd\u003eAbout 70g\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth\u003eFunction\u003c\/th\u003e\n\u003ctd\u003eEquipped with pull-up resistor, the MCU can directly read signal pulses\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/table\u003e\u003ch2\u003eApplications\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003eROS2 learning and teaching (theory + practice)\u003c\/li\u003e\n\u003cli\u003eLidar obstacle avoidance, tracking (following), guard, and patrol\u003c\/li\u003e\n\u003cli\u003eSLAM mapping and navigation workflows (including RViz simulation)\u003c\/li\u003e\n\u003cli\u003eMulti-robot synchronization control and multi-machine navigation\u003c\/li\u003e\n\u003cli\u003eMicroROS\/ESP32 driver and data communication practice (WiFi UDP via MicroROS)\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch2\u003eTutorials \u0026amp; Code Resources\u003c\/h2\u003e\u003cp\u003e\u003cstrong\u003eTutorial link:\u003c\/strong\u003e\u003ca href=\"http:\/\/www.yahboom.net\/study\/MicroROS-ESP32\" rel=\"noopener\" target=\"_blank\"\u003ehttp:\/\/www.yahboom.net\/study\/MicroROS-ESP32\u003c\/a\u003e\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eCourse outline (as provided):\u003c\/strong\u003e\u003c\/p\u003e\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003e01. Introduction\u003c\/strong\u003e: 1) ReadMe - learning route 2) Introduction to lidar 3) Introduction to microROS control board 4) FAQ 5) About charging\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003e02. Assembly course\u003c\/strong\u003e: Assembly steps\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003e03. preparation\u003c\/strong\u003e: 1) Write firmware 2) How to install and use VM 3) microROS control board configuration 4) Connect to microROS agent\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003e04. VM Remote control course\u003c\/strong\u003e: 1) VM keyboard remote control 2) VM handle remote control\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003e05. Robot basic course\u003c\/strong\u003e: 1) Robot information release 2) Robot keyboard control 3) Robot handle control 4) Robot state estimation 5) Linear speed calibration 6) Angular velocity calibration 7) Robot URDF model\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003e06. Lidar course\u003c\/strong\u003e: 1) Lidar avoid 2) Lidar following 3) Lidar guard 4) Lidar patrol 5) Gmapping mapping 6) Cartographer mapping 7) Navigation2 navigation avoid 8) ROS Robot APP mapping 9) ROS Robot APP navigation\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003e07. Multi-machine course\u003c\/strong\u003e: 1) Multi-machine handle control 2) Multi-machine keyboard control 3) Multi-machine navigation\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003e08. Linux basic course\u003c\/strong\u003e: 1) Introduction to Linux system 2) Ubuntu file system 3) Ubuntu common commands 4) Ubuntu common editors 5) Ubuntu software operation commands 6) Virtual machine installation 7) SSH remote control 8) VNC remote control 9) Remote file transfer 10) Driver library and communication 11) Static IP and hotspot mode 12) Bind device ID 13) Capacity expansion and resource allocation 14) Update system software source 15) set root password 16) sudo free password 17) Connect to WiFi network 18) View system version 19) Customized service management 20) Back up system image\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003e09. Docker course\u003c\/strong\u003e: 1) Overview and installation 2) Common commands 3) In-depth understand and publishing images 4) Hardware interaction and data processing 5) Enter robot docker container\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003e10. ROS2 basic course\u003c\/strong\u003e: 1) Introduction to ROS2 2) ROS2 install Humble 3) ROS2 development environment 4) ROS2 workspace 5) ROS2 function package 6) ROS2 node 7) ROS2 topic communication 8) ROS2 service communication 9) ROS2 action communication 10) ROS2 custom interface message 11) ROS2 parameter service case 12) ROS2 meta-function package 13) ROS2 distributed communication 14) ROS2 DDS 15) ROS2 time related API 16) ROS2 common command tools 17) ROS2 rviz2 use 18) ROS2 rqt toolbox 19) ROS2 Launch startup file configuration 20) ROS2 recording and playback tool 21) ROS2 URDF model 22) ROS2 Gazebo simulation platform 23) ROS2 TF2 coordinate transformation\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003e11. microROS control board development environment\u003c\/strong\u003e: 1) Introduction to microROS control board 2) Set up ESP32-IDF development environment 3) ESP32-IDF configuration tool 4) Install ESP32-microROS components 5) Install and start microROS agent 6) Flash-tool burning firmware\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003e12. ESP32 basic course\u003c\/strong\u003e: 1) Turn on the LED light 2) Button function 3) Drive the buzzer 4) Serial communication 5) Battery voltage detection 6) Drive PWM servo 7) Drive motor 8) Read motor encoder data 9) PID controls car speed 10) Read IMU data 11) Read radar data 12) Flash access data 13) Partition table and memory 14) Bluetooth communication 15) WiFi networking 16) Robot kinematics analysis\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003e13. microROS basic course\u003c\/strong\u003e: 1) Publish topic 2) Subscribe topic 3) Multi-topic subscribe and publish 4) Subscribe buzzer topics 5) Subscribe PWM servo topics 6) Subscribe speed control topics 7) Release speed topic 8) Release IMU data topic 9) Publish lidar data topics 10) Customized transmission interface\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch2\u003eVideo\u003c\/h2\u003e\u003cp style=\"text-align:center;\"\u003e\u003ciframe height=\"420\" src=\"https:\/\/www.youtube.com\/embed\/o3lNatHqOFI\" title=\"ESP32 MicroROS Robot Car Vision Version\" width=\"600\"\u003e\u003c\/iframe\u003e\u003c\/p\u003e\u003ch2\u003eSupport\u003c\/h2\u003e\u003cp\u003eFor pre-sales compatibility questions (including virtual machine setup and control methods) or after-sales support, contact support@rcdrone.top or visit https:\/\/rcdrone.top\/.\u003c\/p\u003e\u003ch2 id=\"details\"\u003eDetails\u003c\/h2\u003e\u003cdiv class=\"details-gallery\"\u003e\n\u003cimg alt=\"MicroROS architecture overview for ROS 2 nodes running on microcontrollers with ROS 2 agent bridge\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/ESP32-MicroROS-Robot-Car-Virtual-Machine-as-controllerMAC.jpg?v=1782287019\"\u003e\u003cp\u003eMicro-ROS extends ROS 2 to resource‑constrained microcontrollers, enabling ROS 2 communication through an agent layer.\u003c\/p\u003e\n\u003cimg alt=\"ESP32 MicroROS Robot car communicating by Wi‑Fi UDP with a PC virtual machine master controller (Mac not supported)\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/ESP32-MicroROS-Robot-Car-Virtual-Machine-as-controllerMAC_765d810b-320b-460f-b80f-8f1d2598c3d9.jpg?v=1782287026\"\u003e\u003cp\u003eA PC virtual machine handles the heavy ROS 2 compute work while the robot sends sensor data over Wi‑Fi for responsive control.\u003c\/p\u003e\n\u003cimg alt=\"Comparison chart: PC virtual machine master control versus Raspberry Pi\/Jetson main control for ROS 2 robots\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/ESP32-MicroROS-Robot-Car-Virtual-Machine-as-controllerMAC_78a72821-1933-4f86-be0a-b6acc76da8f9.jpg?v=1782287032\"\u003e\u003cp\u003eVirtual‑machine master control helps simplify setup, improve performance by using PC resources, and makes backup\/restore easier.\u003c\/p\u003e\n\u003cimg alt=\"ROS 2 Humble development and multi‑master support with PC virtual machine, Raspberry Pi, or Jetson masters\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/ESP32-MicroROS-Robot-Car-Virtual-Machine-as-controllerMAC_a158e065-d629-493d-a284-be643d449129.jpg?v=1782287039\"\u003e\u003cp\u003eROS 2 Humble support with flexible master options, including a PC virtual machine or compatible embedded masters.\u003c\/p\u003e\n\u003cimg alt=\"Tutorials and code resources list for MicroROS robot car projects, lessons, and feature demos\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/ESP32-MicroROS-Robot-Car-Virtual-Machine-as-controllerMAC_4e1474c6-a2f5-482e-bfa6-5ed043142c65.jpg?v=1782287046\"\u003e\u003cp\u003eStep‑by‑step learning content and example code support common ROS 2 robotics workflows from basics to advanced demos.\u003c\/p\u003e\n\u003cimg alt=\"TOF lidar feature demos: obstacle avoidance, tracking, guard alarm, and patrol route behavior for the robot car\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/ESP32-MicroROS-Robot-Car-Virtual-Machine-as-controllerMAC_89a27c1c-3428-424d-a4ba-656946edea55.jpg?v=1782287061\"\u003e\u003cp\u003eTOF lidar functions enable obstacle avoidance, object tracking, guard alerts, and autonomous patrol behaviors.\u003c\/p\u003e\n\u003cimg alt=\"Mobile app remote control plus multi‑machine handle and keyboard control for synchronized robot movement\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/ESP32-MicroROS-Robot-Car-Virtual-Machine-as-controllerMAC_b1c1767d-26c5-4581-8f61-fae9f76f1528.jpg?v=1782287067\"\u003e\u003cp\u003eControl options include an iOS\/Android app as well as real‑time multi‑robot synchronization using a handle or keyboard.\u003c\/p\u003e\n\u003cimg alt=\"Multi‑robot navigation map view and robot sensor data publishing to a PC master via MicroROS\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/ESP32-MicroROS-Robot-Car-Virtual-Machine-as-controllerMAC_02ea0cc8-b6be-4340-829a-4c3813693b56.jpg?v=1782287073\"\u003e\u003cp\u003eSensor topics such as lidar, IMU, wheel speed, and buzzer status can be published to the master for monitoring and control.\u003c\/p\u003e\n\u003cimg alt=\"RViz simulation screen for debugging and visualizing the robot model and ROS 2 data in a virtual environment\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/ESP32-MicroROS-Robot-Car-Virtual-Machine-as-controllerMAC_f3f4a74f-d031-4bed-8bad-a6de864a6e2b.jpg?v=1782287091\"\u003e\u003cp\u003eRViz visualization helps test, debug, and verify robot behavior while developing ROS 2 applications.\u003c\/p\u003e\n\u003cimg alt=\"Onboard ESP32-S3 processor details for MicroROS communication, Wi‑Fi\/Bluetooth, and sensor data handling\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/ESP32-MicroROS-Robot-Car-Virtual-Machine-as-controllerMAC_e59389d9-b0cb-4a4e-ab2d-40c645485c15.jpg?v=1782287098\"\u003e\u003cp\u003eAn onboard ESP32 co‑processor provides Micro‑ROS communication plus integrated Wi‑Fi\/Bluetooth for the chassis data link.\u003c\/p\u003e\n\u003cimg alt=\"ORBBEC MS200 TOF lidar module specs panel for indoor\/outdoor mapping and navigation on the robot car\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/ESP32-MicroROS-Robot-Car-Virtual-Machine-as-controllerMAC_6fb56b4a-09ac-4c19-ac22-5de25f173591.jpg?v=1782287120\"\u003e\u003cp\u003eThe MS200 TOF lidar supports mapping and navigation with fast sampling and strong‑light resistance for varied environments.\u003c\/p\u003e\n\u003cimg alt=\"7.4V 2000mAh lithium battery pack specifications for powering the robot car chassis\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/ESP32-MicroROS-Robot-Car-Virtual-Machine-as-controllerMAC_39ea56d8-16af-49bc-a665-e86e84b38bc9.jpg?v=1782287143\"\u003e\u003cp\u003eA 7.4V battery pack supplies portable power for extended learning, testing, and demo sessions.\u003c\/p\u003e\n\u003cimg alt=\"Metal gear reduction encoder motors set with specification table for precise speed and position feedback\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/ESP32-MicroROS-Robot-Car-Virtual-Machine-as-controllerMAC_56ebad75-56e4-411d-b109-7908cda687ec.jpg?v=1782287149\"\u003e\u003cp\u003eEncoder motors provide stable motion control with feedback for odometry and closed‑loop driving experiments.\u003c\/p\u003e\n\u003cimg alt=\"Tutorials and codes download page displayed on a laptop with study link for MicroROS ESP32 robot car\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/ESP32-MicroROS-Robot-Car-Virtual-Machine-as-controllerMAC_b2edb37a-7605-4ff6-b651-8acbb3205a6c.jpg?v=1782287155\"\u003e\u003cp\u003eOnline documentation and downloads guide installation, configuration, and ROS 2 project practice.\u003c\/p\u003e\n\u003cimg alt=\"Courseware folder list with ROS 2 and MicroROS lesson materials, sample projects, and video resources\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/ESP32-MicroROS-Robot-Car-Virtual-Machine-as-controllerMAC_6da5fbb4-d478-4ed6-b836-5b92d7e64d30.jpg?v=1782287162\"\u003e\u003cimg alt=\"Product size parameters and dimensional drawings for standard and vision versions of the MicroROS robot chassis\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/ESP32-MicroROS-Robot.webp?v=1782287779\"\u003e\u003cp\u003eDimension drawings help plan add‑ons and integration with DIY parts or classroom workbenches.\u003c\/p\u003e\n\u003cimg alt=\"Package contents shipping list: assembled robot chassis, MS200 lidar, ESP32 board, motors, antenna, charger, tools\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/ESP32-MicroROS-Robot-Car-Virtual-Machine-as-controllerMAC_73708d0d-a8e7-45f2-bb44-03862dc15f96.jpg?v=1782287182\"\u003e\u003cp\u003eWhat’s included covers the assembled chassis and core modules, plus wiring, tools, and documentation for setup.\u003c\/p\u003e\n\u003c\/div\u003e","brand":"Yahboom","offers":[{"title":"Standard Version","offer_id":53135773827296,"sku":"6000200573-1","price":243.8,"currency_code":"USD","in_stock":true},{"title":"Vision Version","offer_id":53135773860064,"sku":"6000200573-2","price":291.8,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0643\/3210\/3904\/files\/MicroROS_Car_Yahboom_01_c5e9730c-f656-4130-996d-12dedc7a6162.jpg?v=1782124558"},{"product_id":"yahboom-jetcobot-robot-arm","title":"Yahboom JetCobot 7-DOF Visual Collaborative Robotic Arm for Jetson Nano B01 4GB\/Orin Nano SUPER\/Orin NX SUPER","description":"\u003ch2\u003eOverview\u003c\/h2\u003e\u003cp\u003eJetCobot is a 7-axis visual collaborative robotic arm that uses an NVIDIA Jetson series development board as the main control board (Jetson Nano B01 4GB \/ Jetson Orin Nano SUPER \/ Jetson Orin NX SUPER). With a UR-like robot configuration, ROS robot operating system, and an inverse kinematics algorithm, it supports coordinate control, motion planning, gripping, sorting, and related vision-interaction tasks.\u003c\/p\u003e\u003cp\u003eJetCobot integrates a robotic arm and camera system. It is equipped with a 0.3MP USB camera (110° field of view) and supports OpenCV image processing, machine vision, and deep learning workflows for functions such as color interaction, face detection\/tracking, label recognition, model training, and gesture interaction.\u003c\/p\u003e\u003cdiv style=\"text-align:center;\"\u003e\u003ciframe height=\"695\" loading=\"lazy\" src=\"https:\/\/www.youtube.com\/embed\/IrUk3DUeCis\" title=\"JetCobot 7 axis visual collaborative robotic arm for Jetson NANO 4GB Orin NANO Orin NX\" width=\"1236\"\u003e\u003c\/iframe\u003e\u003c\/div\u003e\u003ch2\u003eKey Features\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003e7-DOF structure with UR-like configuration:\u003c\/strong\u003e Smooth body design, large range of motion, and hidden servo wiring (as described in the comparison chart).\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eInverse kinematics + ROS workflow:\u003c\/strong\u003e Supports coordinate control and motion planning.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eMoveIt + RViz support:\u003c\/strong\u003e Includes URDF kinematics simulation model, MoveIt simulation control\/trajectory planning, collision detection, and spatial gripping scenarios.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eAI visual recognition and target tracking:\u003c\/strong\u003e Color recognition and tracking, color block sorting, color block grabbing, color interaction, face recognition and tracking, and label recognition\/intelligent stacking (Apriltag label codes).\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eDeep learning \/ model training:\u003c\/strong\u003e Supports garbage classification workflows and region-based grabbing examples (region identification: grabbing and place; region detection: customize grabbing).\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eMediaPipe development \/ AI interaction upgrade:\u003c\/strong\u003e Gesture control action group, gesture recognition control stack, robotic arm recognition and palm tracking, and gesture posture control robotic arm.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eMultiple control methods:\u003c\/strong\u003e Supports MoveIt simulation control, handle control, and PC web control (Jupyter Lab control is also shown).\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch2\u003eSpecifications\u003c\/h2\u003e\u003ctable border=\"1\" cellpadding=\"6\" cellspacing=\"0\"\u003e\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eProduct\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eJetCobot AI visual collaborative robotic arm\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eDegrees of freedom\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e7\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eMaximum effective arm span\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e270MM\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eJoint rotation range\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e-153° to 153°\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eRepeat positioning accuracy\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e±0.5mm\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eCamera\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e0.3MP USB camera\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eCamera field of view\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e110°\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eCamera frame rate (shown)\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e30fps\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eVisual dimension (chart)\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003ePlane 2D image\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eGripper (shown)\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eElectric gripper\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eGripper open-close angle (chart)\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e5cm\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eGripper range (shown)\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e20-45mm\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eGripper force (shown)\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e150g force\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eStructure type (chart)\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eUR-like robot structure\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eMain control (chart)\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eJetson Nano B01 \/ Jetson Orin Nano SUPER \/ Jetson Orin NX SUPER\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eFunction (chart)\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eInterconnection control; MoveIt motion planning; RViz robot simulation; 2D visual interaction\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eVoice (chart)\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e\/\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eDisplay (chart)\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e\/\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\u003c\/table\u003e\u003ch2\u003eJetson Master Control Options (Reference Chart)\u003c\/h2\u003e\u003ctable border=\"1\" cellpadding=\"6\" cellspacing=\"0\"\u003e\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eMain control board\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eJetson Nano B01 4GB\u003c\/td\u003e\n\u003ctd\u003eJetson Orin Nano SUPER 4GB\u003c\/td\u003e\n\u003ctd\u003eJetson Orin Nano SUPER 8GB\u003c\/td\u003e\n\u003ctd\u003eJetson Orin NX SUPER 8GB\u003c\/td\u003e\n\u003ctd\u003eJetson Orin NX SUPER 16GB\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eComputing power\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e0.5TFLOPS (FP16)\u003c\/td\u003e\n\u003ctd\u003e34 TOPS\u003c\/td\u003e\n\u003ctd\u003e67 TOPS\u003c\/td\u003e\n\u003ctd\u003e117 TOPS\u003c\/td\u003e\n\u003ctd\u003e157 TOPS\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eCPU\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e4 cores Arm Cortex-A57 MPCore processor\u003c\/td\u003e\n\u003ctd\u003e6-core Arm Cortex-A78AE v8.2 64-bit CPU; 1.5MB L2 + 4MB L3\u003c\/td\u003e\n\u003ctd\u003e6-core Arm Cortex-A78AE v8.2 64-bit CPU; 1.5MB L2 + 4MB L3\u003c\/td\u003e\n\u003ctd\u003e6-core NVIDIA Arm Cortex-A78AE v8.2 64-bit CPU; 1.5MB L2 + 4MB L3\u003c\/td\u003e\n\u003ctd\u003e8-core NVIDIA Arm Cortex-A78AE v8.2 64-bit CPU; 2MB L2 + 4MB L3\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eGPU\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e128 cores NVIDIA Maxwell GPU\u003c\/td\u003e\n\u003ctd\u003e512-core NVIDIA Ampere architecture GPU with 16 Tensor Cores\u003c\/td\u003e\n\u003ctd\u003e1024-core NVIDIA Ampere architecture GPU with 32 Tensor Cores\u003c\/td\u003e\n\u003ctd\u003e1024-core NVIDIA Ampere architecture GPU with 32 Tensor Cores\u003c\/td\u003e\n\u003ctd\u003e1024-core NVIDIA Ampere architecture GPU with 32 Tensor Cores\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eMemory\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e4GB 64-bit LPDDR4 25.6GB\/s\u003c\/td\u003e\n\u003ctd\u003e4GB 64-bit LPDDR5 51GB\/s\u003c\/td\u003e\n\u003ctd\u003e8GB 128-bit LPDDR5 102 GB\/s\u003c\/td\u003e\n\u003ctd\u003e8GB 128-bit LPDDR5 102 GB\/s\u003c\/td\u003e\n\u003ctd\u003e16GB 128-bit LPDDR5 102 GB\/s\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eStorage\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e16GB eMMC + 64GB U disk\u003c\/td\u003e\n\u003ctd colspan=\"4\"\u003e256GB SSD\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003ePower\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e5W - 10W\u003c\/td\u003e\n\u003ctd\u003e7W, 10W, 25W\u003c\/td\u003e\n\u003ctd\u003e7W, 15W, 25W\u003c\/td\u003e\n\u003ctd colspan=\"2\"\u003e10W, 15W, 25W, 40W\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eROS system version\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eUbuntu18.04 + ROS1 Melodic\u003c\/td\u003e\n\u003ctd colspan=\"4\"\u003eUbuntu22.04 LTS + ROS2 Humble\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\u003c\/table\u003e\u003cp\u003eThe chart also notes that the usage methods of multiple Jetson series control boards are basically the same; different control boards mainly affect JetCobot performance.\u003c\/p\u003e\u003ch2\u003eMeasured Function\/Performance Difference (Reference Chart)\u003c\/h2\u003e\u003ctable border=\"1\" cellpadding=\"6\" cellspacing=\"0\"\u003e\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eItem\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e\n\u003cstrong\u003eJetson Nano Version\u003c\/strong\u003e\u003cbr\u003eProgram start time \/ Program running frame rate\u003c\/td\u003e\n\u003ctd\u003e\n\u003cstrong\u003eJetson Orin Nano SUPER 8GB Version\u003c\/strong\u003e\u003cbr\u003eProgram start time \/ Program running frame rate\u003c\/td\u003e\n\u003ctd\u003e\n\u003cstrong\u003eJetson Orin NX SUPER 16GB Version\u003c\/strong\u003e\u003cbr\u003eProgram start time \/ Program running frame rate\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eRobot startup\u003c\/td\u003e\n\u003ctd\u003e43s Robotic arm initialization completed \/ \/\u003c\/td\u003e\n\u003ctd\u003e38s Robotic arm initialization completed \/ \/\u003c\/td\u003e\n\u003ctd\u003e37s Robotic arm initialization completed \/ \/\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eBasic visual function (Color recognition)\u003c\/td\u003e\n\u003ctd\u003e6s \/ 12s\u003c\/td\u003e\n\u003ctd\u003e5s \/ 30fps\u003c\/td\u003e\n\u003ctd\u003e4s \/ 30fps\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eYolov5 garbage classification\u003c\/td\u003e\n\u003ctd\u003e31s \/ 6s\u003c\/td\u003e\n\u003ctd\u003e17s \/ 30fps\u003c\/td\u003e\n\u003ctd\u003e16s \/ 30fps\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eMediapipe face detection\u003c\/td\u003e\n\u003ctd\u003e13s \/ 30s\u003c\/td\u003e\n\u003ctd\u003e8s \/ 30fps-40fps\u003c\/td\u003e\n\u003ctd\u003e7s \/ 30fps-50fps\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eColor block tracking\u003c\/td\u003e\n\u003ctd\u003e10s \/ 30s\u003c\/td\u003e\n\u003ctd\u003e7s \/ 30fps\u003c\/td\u003e\n\u003ctd\u003e5s \/ 30fps\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eApriltag tag code recognition\u003c\/td\u003e\n\u003ctd\u003e5s \/ 25s\u003c\/td\u003e\n\u003ctd\u003e3s \/ 30fps\u003c\/td\u003e\n\u003ctd\u003e3s \/ 30fps\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eRVIZ simulation modeling\u003c\/td\u003e\n\u003ctd\u003e16s \/ 31s\u003c\/td\u003e\n\u003ctd\u003e9s \/ 31fps\u003c\/td\u003e\n\u003ctd\u003e7s \/ 31fps\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\u003c\/table\u003e\u003cp\u003eNotes shown with the chart: JetCobot is not configured with Docker container technology; it uses an official native image configuration function environment to give full play to overall motherboard performance. The data is from an actual Yahboom laboratory test; Jetson Orin Nano SUPER 4GB and 8GB performance is similar, and Jetson Orin NX SUPER 8GB and 16GB performance is close.\u003c\/p\u003e\u003ch2\u003eWhat's Included\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003emyCobot280 7-DOF collaborative robotic arm (JetCobot)\u003c\/li\u003e\n\u003cli\u003eElectric gripper\u003c\/li\u003e\n\u003cli\u003eUSB camera\u003c\/li\u003e\n\u003cli\u003eJetson main control (Jetson Nano B01 \/ Jetson Orin Nano SUPER \/ Jetson Orin NX SUPER, depending on version)\u003c\/li\u003e\n\u003cli\u003eOLED screen (listed in the shipping list chart)\u003c\/li\u003e\n\u003cli\u003eAccessories (as listed in the shipping list chart)\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch2\u003eApplications\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003eROS learning, kinematics, and motion planning (MoveIt \/ RViz)\u003c\/li\u003e\n\u003cli\u003eMachine vision and OpenCV-based interaction experiments\u003c\/li\u003e\n\u003cli\u003eAI interaction demos: color tracking, label recognition (Apriltag), gesture recognition, and model training workflows\u003c\/li\u003e\n\u003cli\u003eDesktop grasping, sorting, and basic coordinate-based pick-and-place tasks\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch2\u003eManuals \/ Documentation\u003c\/h2\u003e\u003cul\u003e\u003cli\u003eTutorials: \u003ca href=\"https:\/\/www.yahboom.net\/study\/JetCobot\" rel=\"noopener noreferrer\" target=\"_blank\"\u003ehttps:\/\/www.yahboom.net\/study\/JetCobot\u003c\/a\u003e\n\u003c\/li\u003e\u003c\/ul\u003e\u003cp\u003eFor pre-sales selection help or after-sales support, contact \u003ca href=\"https:\/\/rcdrone.top\/\" rel=\"noopener noreferrer\" target=\"_blank\"\u003ehttps:\/\/rcdrone.top\/\u003c\/a\u003e or email support@rcdrone.top.\u003c\/p\u003e\u003ch2 id=\"details\"\u003eDetails\u003c\/h2\u003e\u003cdiv class=\"details-gallery\"\u003e\n\u003cimg alt=\"Comparison chart highlighting JetCobot vs other ROS robotic arm masters, with key specs and features\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/JetCobot-7-axis-visual-collaborative-robotic-arm-for-Jetson.jpg?v=1782282303\"\u003e\u003cp\u003eCompare JetCobot with other ROS master-control options to choose the right platform for your application.\u003c\/p\u003e\n\u003cimg alt=\"Specs table for DOFBOT SE ROS master control, listing accuracy, arm span, camera type, and functions\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/JetCobot-7-axis-visual-collaborative-robotic-arm-for-Jetson_aaeae710-13e3-4f24-8b8e-73a5c7b4ef27.jpg?v=1782282309\"\u003e\u003cp\u003eMultiple Yahboom arm platforms share a similar ROS workflow, while hardware and vision options vary by model.\u003c\/p\u003e\n\u003cimg alt=\"DOFBOT-PRO comparison table featuring depth camera option and 3D visual interaction capability\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Yahboom-JetCobot-7-DOF-Visual-Collaborative-Robotic-Arm-for_84bf5956-5413-46cb-8060-2c158075feb8.webp?v=1782283067\"\u003e\u003cp\u003eDepth-camera configurations support 3D vision tasks such as distance-aware tracking and interaction.\u003c\/p\u003e\n\u003cimg alt=\"JetCobot comparison chart listing 7-DOF, 270 mm reach, ±0.5 mm repeat accuracy, and UR-like structure\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/JetCobot-7-axis-visual-collaborative-robotic-arm-for-Jetson_efd5eed9-5cfd-4aa6-a271-8b15625020c6.jpg?v=1782282323\"\u003e\u003cp\u003eJetCobot focuses on a 7-DOF UR-like structure with millimeter-level repeatability for coordinated motion tasks.\u003c\/p\u003e\n\u003cimg alt=\"Yahboom JetCobot 7-DOF AI visual collaborative robotic arm kit with base, arm, and packaging\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/JetCobot-7-axis-visual-collaborative-robotic-arm-for-Jetson_e0a9cab0-644c-4626-bd1f-1fa19fcd6150.jpg?v=1782282330\"\u003e\u003cp\u003eYahboom JetCobot is a desktop 7-DOF visual collaborative robotic arm built around NVIDIA Jetson control boards.\u003c\/p\u003e\n\u003cimg alt=\"JetCobot product introduction poster with icons for ROS, MoveIt, RViz, OpenCV, deep learning, and MediaPipe\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/JetCobot-7-axis-visual-collaborative-robotic-arm-for-Jetson_5b86fb6f-b46f-4dd2-8f59-947df63bbeed.jpg?v=1782282336\"\u003e\u003cp\u003eA complete software stack supports ROS control, MoveIt planning, RViz visualization, and OpenCV-based vision.\u003c\/p\u003e\n\u003cimg alt=\"Jetson Orin SUPER performance overview graphic comparing Nano B01, Orin Nano, and Orin NX options\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/JetCobot-7-axis-visual-collaborative-robotic-arm-for-Jetson_e1ec7445-e676-4ec6-8ef9-1168a0b129c0.jpg?v=1782282343\"\u003e\u003cp\u003eSelect Jetson Nano B01, Orin Nano SUPER, or Orin NX SUPER based on the compute needed for your AI pipeline.\u003c\/p\u003e\n\u003cimg alt=\"Jetson series selection matrix for ROS master control, with CPU\/GPU specs, memory, and Ubuntu\/ROS versions\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/JetCobot-7-axis-visual-collaborative-robotic-arm-for-Jetson_90ffa877-a73d-4426-9b58-19d83f01c100.jpg?v=1782282349\"\u003e\u003cp\u003eA clear Jetson comparison helps match CPU\/GPU and memory capacity to ROS and vision workloads.\u003c\/p\u003e\n\u003cimg alt=\"Function operation difference table for JetCobot across Jetson versions, with task timing and FPS metrics\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/JetCobot-7-axis-visual-collaborative-robotic-arm-for-Jetson_dbca39ea-3f4f-464b-b4b2-88f6b67de79b.jpg?v=1782282356\"\u003e\u003cp\u003ePerformance varies by Jetson controller, while the JetCobot feature set and course examples remain consistent.\u003c\/p\u003e\n\u003cimg alt=\"JetCobot UR-like robot configuration photo highlighting smooth arm design and hidden wiring concept\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/JetCobot-7-axis-visual-collaborative-robotic-arm-for-Jetson_eca15570-dace-422d-80ba-993fbdf2c547.jpg?v=1782282362\"\u003e\u003cp\u003eThe UR-like configuration provides a wide range of motion with a cleaner build for classroom and lab use.\u003c\/p\u003e\n\u003cimg alt=\"Analysis graphic comparing JetCobot 7-DOF UR-like design vs typical 6-DOF arms, wiring, reach, and control\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/JetCobot-7-axis-visual-collaborative-robotic-arm-for-Jetson_3e251162-beec-404f-84af-fa3bcb43b9c4.jpg?v=1782282370\"\u003e\u003cp\u003eA 7-DOF layout improves flexibility for positioning, grasping, and path planning in tight workspaces.\u003c\/p\u003e\n\u003cimg alt=\"Integrated robotic arm and camera setup scanning color blocks; text notes ±0.5 mm repeat positioning accuracy\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/JetCobot-7-axis-visual-collaborative-robotic-arm-for-Jetson_bd82f7be-85c1-41f5-af18-d71b9971dda3.jpg?v=1782282376\"\u003e\u003cp\u003eAn integrated USB camera enables visual picking and sorting workflows without complex external camera setups.\u003c\/p\u003e\n\u003cimg alt=\"AI visual recognition and target tracking examples: color sorting, grabbing, interaction, tag stacking, tracking\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/JetCobot-7-axis-visual-collaborative-robotic-arm-for-Jetson_33c4bf44-5901-4d97-865e-30b2428f3a77.jpg?v=1782282382\"\u003e\u003cp\u003eBuilt-in demos cover color recognition, block sorting, tag-based stacking, and tracking-based interaction.\u003c\/p\u003e\n\u003cimg alt=\"Deep learning and MediaPipe feature panel: model training, region detection grabbing, gesture recognition control\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/JetCobot-7-axis-visual-collaborative-robotic-arm-for-Jetson_3667f00d-b2cb-4ade-8881-98a34defc6c1.jpg?v=1782282389\"\u003e\u003cp\u003eUse deep-learning model training and MediaPipe gesture interaction to build more responsive pick-and-place tasks.\u003c\/p\u003e\n\u003cimg alt=\"MoveIt kinematics and planning collage for JetCobot, including URDF model, collision detection, and spatial grip\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Yahboom-JetCobot-7-DOF-Visual-Collaborative-Robotic-Arm-for_2481be8e-2806-47bd-a138-4dd57560895c.webp?v=1782283096\"\u003e\u003cp\u003eMoveIt and URDF models support simulation, trajectory planning, and collision checking before running on hardware.\u003c\/p\u003e\n\u003cimg alt=\"Cross-platform remote control options: web-based JupyterLab control and USB gamepad teleoperation\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/JetCobot-7-axis-visual-collaborative-robotic-arm-for-Jetson_ad599ce9-0cb2-4eab-a518-3f75222b6bd0.jpg?v=1782282413\"\u003e\u003cp\u003eControl JetCobot through a browser-based Jupyter environment or a USB gamepad for quick testing and demos.\u003c\/p\u003e\n\u003cimg alt=\"Inverse kinematics algorithm graphic with multi-pose arm overlay for coordinate-based positioning control\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/JetCobot-7-axis-visual-collaborative-robotic-arm-for-Jetson_ab06a26e-32dd-43b6-af1c-3c8e75002fd4.jpg?v=1782282418\"\u003e\u003cp\u003eInverse kinematics enables coordinate input for repeatable positioning and consistent end-effector orientation.\u003c\/p\u003e\n\u003cimg alt=\"7-DOF collaborative robot joint map labeled J1–J7 on JetCobot arm beside a laptop and Jetson carrier base\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/JetCobot-7-axis-visual-collaborative-robotic-arm-for-Jetson_ff4f27c9-6142-4345-9339-52b0badca18d.jpg?v=1782282424\"\u003e\u003cp\u003eSeven joints (J1–J7) provide extra flexibility for motion planning and coordinated grasping.\u003c\/p\u003e\n\u003cimg alt=\"JetCobot robotic arm working radius diagram with 270mm reach and J1 base rotation range ±153°\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/JetCobot-7-axis-visual-collaborative-robotic-arm-for-Jetson_3dd4ecc7-0109-42f3-9c24-0939f2c56476.jpg?v=1782282430\"\u003e\u003cp\u003eJetCobot offers a 270mm maximum effective arm span (without gripper), with J1 base rotation of ±153° and ±0.5mm repeatability.\u003c\/p\u003e\n\u003cimg alt=\"Graphic describing ROS Robot Operating System support for Yahboom JetCobot, listing ROS2 Humble and ROS1 Melodic.\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/JetCobot-7-axis-visual-collaborative-robotic-arm-for-Jetson_4866e742-6434-40a6-843f-03feeb456565.jpg?v=1782282436\"\u003e\u003cp\u003eJetCobot is built around the ROS Robot Operating System and lists compatibility with ROS2 Humble and ROS1 Melodic.\u003c\/p\u003e\n\u003cimg alt=\"JetCobot robotic arm beside a monitor showing MoveIt simulation control interface for a 7-DOF collaborative arm\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/JetCobot-7-axis-visual-collaborative-robotic-arm-for-Jetson_b3313966-865b-4396-9981-fb80a331e21c.jpg?v=1782282442\"\u003e\u003cp\u003eMoveIt simulation support lets the JetCobot robotic arm be tested and controlled in a virtual environment before running on hardware.\u003c\/p\u003e\n\u003cimg alt=\"Yahboom JetCobot robotic arm kit with gripper, USB HD camera, OLED screen, suction-cup base and metal chassis\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/JetCobot-7-axis-visual-collaborative-robotic-arm-for-Jetson_6d005e8f-795c-4a88-a0fe-6ea5ac025c3d.jpg?v=1782282448\"\u003e\u003cp\u003eThe JetCobot arm kit combines a gripper, USB HD camera, OLED screen, and a suction-cup base for stable desktop setups.\u003c\/p\u003e\n\u003cimg alt=\"Yahboom JetCobot robotic arm with USB HD camera module and motorized gripper mounted on the end effector\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/JetCobot-7-axis-visual-collaborative-robotic-arm-for-Jetson_e2a9bcc9-b877-484f-931c-6060e803ac68.jpg?v=1782282454\"\u003e\u003cp\u003eThe JetCobot arm pairs a USB HD camera (480p, 30 fps, 110° field of view) with a compact electric gripper for vision-guided picking and placement tasks.\u003c\/p\u003e\n\u003cimg alt=\"JetCobot course outline table listing lessons on assembly, ROS\/Ubuntu setup, SLAM, AI vision, tracking, and grasping\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/JetCobot-7-axis-visual-collaborative-robotic-arm-for-Jetson_0ffe5546-ccc4-4f1a-8477-07c0546702bd.jpg?v=1782282461\"\u003e\u003cp\u003eThe JetCobot curriculum covers setup and assembly, ROS\/Ubuntu basics, SLAM mapping, AI vision with MediaPipe, and visual tracking and grasping exercises.\u003c\/p\u003e\n\u003cimg alt=\"JetCobot tutorial materials page with download folders and course sections, plus study link yahboom.net\/study\/JetCobot\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/JetCobot-7-axis-visual-collaborative-robotic-arm-for-Jetson_a5611231-0544-435e-a6f1-6c183c89b9cd.jpg?v=1782282467\"\u003e\u003cp\u003eJetCobot tutorial materials include organized download folders and course content such as AI visual basics and Mediapipe, with a study link at yahboom.net\/study\/JetCobot.\u003c\/p\u003e\n\u003cimg alt=\"Course resource overview for Yahboom JetCobot, listing AI visual tracking\/grabbing, MoveIt, ROS2 tutorials, and Python code\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/JetCobot-7-axis-visual-collaborative-robotic-arm-for-Jetson_d3ec8db1-b973-416d-8731-086ebdb6d5e3.jpg?v=1782282473\"\u003e\u003cp\u003eJetCobot learning resources include AI visual tracking and grabbing courses, MoveIt tutorials, ROS2 basics, and open Python source code.\u003c\/p\u003e\n\u003cimg alt=\"JetCobot robotic arm with gripper dimension drawing showing overall height and base footprint measurements in mm\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/JetCobot-7-axis-visual-collaborative-robotic-arm-for-Jetson_72c5e71d-9f4d-49dd-8806-42337a7bc578.jpg?v=1782282479\"\u003e\u003cp\u003eJetCobot with gripper dimensions are provided in millimeters to help plan mounting space and overall arm clearance.\u003c\/p\u003e\n\u003cimg alt=\"JetCobot 7-DOF visual collaborative robotic arm specs table with Python support, ROS options, and camera details\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/JetCobot-7-axis-visual-collaborative-robotic-arm-for-Jetson_b5ff15d3-ad07-476e-846e-4ab9f0713144.jpg?v=1782282485\"\u003e\u003cp\u003eJetCobot supports Python programming with ROS options for Jetson Nano B01 and Jetson Orin Nano\/NX, plus a fixed-focus 0.3MP camera (480P, 30fps, 110° wide angle).\u003c\/p\u003e\n\u003cimg alt=\"Yahboom JetCobot shipping list with gripper, USB camera, chassis parts, power adapter, cables, and Jetson accessory options\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/JetCobot-7-axis-visual-collaborative-robotic-arm-for-Jetson_35be5862-c547-481f-b53f-986a2b5d3af9.jpg?v=1782282491\"\u003e\u003cp\u003eThe JetCobot kit includes the gripper, USB camera, chassis components, power adapter, and wiring, with optional Jetson Nano\/Orin accessories listed.\u003c\/p\u003e\n\u003c\/div\u003e","brand":"Yahboom","offers":[{"title":"With Jetson NANO 4GB","offer_id":53135867576544,"sku":"3000200636-1","price":1167.8,"currency_code":"USD","in_stock":true},{"title":"With Jetson Orin NANO 4GB SUPER","offer_id":53135867609312,"sku":"3000200636-2","price":1443.8,"currency_code":"USD","in_stock":true},{"title":"With Jetson Orin NANO 8GB SUPER","offer_id":53135867642080,"sku":"3000200636-3","price":1515.8,"currency_code":"USD","in_stock":true},{"title":"With Jetson Orin NX 8GB SUPER","offer_id":53135867674848,"sku":"3000200636-4","price":1899.8,"currency_code":"USD","in_stock":true},{"title":"With Jetson Orin NX 16G SUPER","offer_id":53135867707616,"sku":"3000200636-5","price":2295.8,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0643\/3210\/3904\/files\/JETCOBOT_Yahboom_01.jpg?v=1782125324"},{"product_id":"yahboom-bitbot-robot","title":"Yahboom micro:bit Bitbot Smart Robot Car Kit with IR Remote \u0026 Bluetooth App, for micro:bit V2\/V1.5","description":"\u003cp\u003e\u003cspan style=\"color: #ff0000;\"\u003e\u003cstrong\u003eNote:\u003c\/strong\u003e\u003c\/span\u003e\u003cstrong\u003eIf you purchase this kit with Micro:bit V2.0, the V2.2 board will be shipped by default.\u003c\/strong\u003e\u003c\/p\u003e\u003ch2\u003eOverview\u003c\/h2\u003e\u003cp\u003eThe Yahboom micro:bit smart robot car (bitbot) is built around the BBC micro:bit as the core controller, using the micro:bit dot matrix screen as the body display. It supports control by Android\/iOS mobile app via the micro:bit onboard Bluetooth, and also supports infrared (IR) remote control. The kit includes a bitbot multifunctional expansion board, and learning materials covering development board experiments, expansion board experiments, and smart robot experiments.\u003c\/p\u003e\u003ch2\u003eKey Features\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003eConfiguration options:\u003c\/strong\u003e\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003eWith micro:bit V2 board:\u003c\/strong\u003e Full set of configuration, ready to play\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eWithout micro:bit board:\u003c\/strong\u003e Suitable for users who already have micro:bit board\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cstrong\u003e*This robot can not work without micro:bit board.\u003c\/strong\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eCompatible with new and old micro:bit:\u003c\/strong\u003e micro:bit board (V2 new version) [Default]; micro:bit board (old version) [Compatible]\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eDual-system app support:\u003c\/strong\u003e iOS + Android\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eApp connection behavior:\u003c\/strong\u003e Using near-field communication, the app is close to the car, and Bluetooth is automatically connected\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eApp functions (as described):\u003c\/strong\u003e Remote control; control the color change of the car lights; whistle; sing; other functions\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eIR remote control:\u003c\/strong\u003e With standard infrared remote control, control the direction of the car, the colors of car lights, and programming light, etc.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eMultiple control methods:\u003c\/strong\u003e APP remote control [Standard]; Infrared remote control [Standard]; Micro: bit Gamepad [Optional]\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eFun modes shown:\u003c\/strong\u003e Line tracking mode; obstacle avoidance mode; following mode (20CM; Turn)\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eLighting effects:\u003c\/strong\u003e Cool Light\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eSound:\u003c\/strong\u003e On-board integrated passive buzzer supports playing various songs through programming and app\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eMicro:bit V2 highlights (shown):\u003c\/strong\u003e Touchable LOGO; built-in microphone; built-in speaker; upgraded connector edge; built-in sleep and shutdown mode; CPU performance improvement\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003eFor pre-sales compatibility questions (micro:bit version selection, control methods, or board options), contact support@rcdrone.top or visit https:\/\/rcdrone.top\/.\u003c\/p\u003e\u003ch2\u003eSpecifications\u003c\/h2\u003e\u003ctable border=\"1\" cellpadding=\"6\" cellspacing=\"0\" style=\"border-collapse: collapse; width: 100%;\"\u003e\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eProduct\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eMicro:bit smart robot car (bitbot)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eController\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eBBC micro:bit\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003emicro:bit compatibility\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003emicro:bit board (V2 new version) [Default]; micro:bit board (old version) [Compatible]\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eControl methods\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eAPP remote control [Standard]; Infrared remote control [Standard]; Micro: bit Gamepad [Optional]\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eAPP platforms\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eiOS; Android\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eAPP download hint (shown)\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eAndroid users search “Mbit” in Play Store; iOS users search “Mbit” in App Store\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eBitbot multifunctional expansion board (labeled interfaces\/parts)\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eInfrared receiver; Serial port interface; SPI interface; Passive buzzer; Charging port; Full power indicator; Charging indicator; Ultrasonic interface; Power switch; Battery interface; 3.7v Power indicator; 5v Power indicator; PWM output; Servo interface; IIC interface; Expand I\/O; 10mm RGB; Avoid obstacle; WS2812 RGB; Micro:bit interface\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eShown modes\/features\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eLine tracking mode; obstacle avoidance mode; following mode; Cool Light; Singing Smart Car\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eDistance label shown\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e20CM\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\u003c\/table\u003e\u003ch2\u003eDocuments\u003c\/h2\u003e\u003cp\u003e\u003ca href=\"http:\/\/www.yahboom.net\/study\/Bitbot\" rel=\"noopener\" target=\"_blank\"\u003eYahboom micro:bit smart robot\u003c\/a\u003e\u003c\/p\u003e\u003ciframe height=\"420\" src=\"https:\/\/www.youtube.com\/embed\/GAkwa_fZ8qc\" width=\"600\"\u003e\u003c\/iframe\u003e\u003ch2 id=\"details\"\u003eDetails\u003c\/h2\u003e\u003cdiv class=\"details-gallery\"\u003e\n\u003cimg alt=\"Yahboom micro:bit Bitbot Smart Robot car kit with micro:bit display and ultrasonic sensor “eyes”\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Microbit-smart-robot-car-bitbot-with-IR-and-APP-for.jpg?v=1782273944\"\u003e\u003cp\u003eBuild a micro:bit-powered smart robot car with a programmable LED display and ultrasonic distance sensing.\u003c\/p\u003e\n\u003cimg alt=\"Bitbot kit configuration options: with micro:bit V2 board included or without micro:bit for existing owners\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Microbit-smart-robot-car-bitbot-with-IR-and-APP-for_487ae5f6-cbce-462f-a2d7-a80ec6cb4b4b.jpg?v=1782273949\"\u003e\u003cp\u003eChoose a full set with a micro:bit V2 board, or select the version without micro:bit if you already have one.\u003c\/p\u003e\n\u003cimg alt=\"BBC micro:bit controller board used as the core for the Bitbot smart robot car\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Microbit-smart-robot-car-bitbot-with-IR-and-APP-for_b8d23bf7-f3d0-4cc6-9779-e29bfde5cdb0.jpg?v=1782273956\"\u003e\u003cp\u003eBBC micro:bit serves as the core controller, bringing coding and hands-on robotics together in one kit.\u003c\/p\u003e\n\u003cimg alt=\"Micro:bit V2 board features: touch logo, microphone, speaker, upgraded edge connector and sleep mode icons\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Microbit-smart-robot-car-bitbot-with-IR-and-APP-for_dca848b2-9caa-4e2e-9484-aa44f778de8c.jpg?v=1782273962\"\u003e\u003cp\u003eMicro:bit V2 adds touch input, microphone and speaker features that work well for interactive robot projects.\u003c\/p\u003e\n\u003cimg alt=\"Bitbot compatibility with micro:bit V2 (default) and older micro:bit boards (compatible)\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Microbit-smart-robot-car-bitbot-with-IR-and-APP-for_c52ad6c9-b594-4065-a910-a11690630eab.jpg?v=1782273968\"\u003e\u003cp\u003eWorks with both the newer micro:bit V2 and the older micro:bit board versions.\u003c\/p\u003e\n\u003cimg alt=\"Online learning materials for smart car, development board and tutorial content (3-in-1)\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Microbit-smart-robot-car-bitbot-with-IR-and-APP-for_3b0be787-922f-4656-9e65-8a0e920051c8.jpg?v=1782273974\"\u003e\u003cp\u003eLearning materials cover development board experiments, expansion board experiments, and smart robot projects.\u003c\/p\u003e\n\u003cimg alt=\"Bitbot multifunctional expansion board with labeled ports: IR receiver, I2C, SPI, servo, PWM and power inputs\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Microbit-smart-robot-car-bitbot-with-IR-and-APP-for_114f9555-e155-4d50-9612-271aafb58ff5.jpg?v=1782273980\"\u003e\u003cp\u003eA multifunction expansion board provides ports for sensors, motors, lighting, and power connections.\u003c\/p\u003e\n\u003cimg alt=\"Mobile app control for Bitbot via Bluetooth with iOS and Android support\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Microbit-smart-robot-car-bitbot-with-IR-and-APP-for_29467d3b-87b9-4681-b90c-97a3bd878d71.jpg?v=1782273986\"\u003e\u003cp\u003eControl driving, lights, and extra functions from an iOS or Android app using micro:bit Bluetooth.\u003c\/p\u003e\n\u003cimg alt=\"Line tracking mode demo with Bitbot robot car following a drawn path on paper\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Microbit-smart-robot-car-bitbot-with-IR-and-APP-for_2bf38d34-bdab-42ea-8b2f-d0b169c8b212.jpg?v=1782273992\"\u003e\u003cp\u003eTry fun modes like line tracking for hands-on STEM learning and coding practice.\u003c\/p\u003e\n\u003cimg alt=\"Robot car modes: obstacle avoidance and following mode with 20 cm distance and turn behavior\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Microbit-smart-robot-car-bitbot-with-IR-and-APP-for_47871f14-5819-471c-8ea7-06f8258664af.jpg?v=1782273998\"\u003e\u003cp\u003eObstacle avoidance and following behaviors add variety for classroom demos and at-home experiments.\u003c\/p\u003e\n\u003cimg alt=\"Bitbot RGB lighting effects collage showing multiple LED color modes\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Microbit-smart-robot-car-bitbot-with-IR-and-APP-for_1c6ede32-2455-4aef-9c67-33e0a3fbedd4.jpg?v=1782274003\"\u003e\u003cp\u003eColorful lighting effects make the robot more engaging during driving and programming activities.\u003c\/p\u003e\n\u003cimg alt=\"App music interface controlling the Bitbot passive buzzer for singing and sound effects\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Microbit-smart-robot-car-bitbot-with-IR-and-APP-for_76e1ead8-0bcb-4b27-9c3f-fc8dcf123593.jpg?v=1782274010\"\u003e\u003cp\u003eUse the built-in passive buzzer to play songs and sound effects through programming or the app.\u003c\/p\u003e\n\u003cimg alt=\"Infrared remote control operating the Bitbot robot car and changing lights\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Microbit-smart-robot-car-bitbot-with-IR-and-APP-for_6dee748e-ac44-4ae8-bc32-59481c0df58a.jpg?v=1782274016\"\u003e\u003cp\u003eA standard IR remote offers quick control for direction, lighting, and play modes.\u003c\/p\u003e\n\u003cimg alt=\"App remote control interface with driving buttons and mode controls on a smartphone screen\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Microbit-smart-robot-car-bitbot-with-IR-and-APP-for_34ddc695-546f-4b0a-ac8e-46190f35eec0.jpg?v=1782274021\"\u003e\u003cp\u003eApp controls keep driving and mode switching simple for beginners.\u003c\/p\u003e\n\u003cimg alt=\"Control options: standard infrared remote and optional micro:bit gamepad controller\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Microbit-smart-robot-car-bitbot-with-IR-and-APP-for_b97187c6-2266-4c1c-90c3-3c6eb7f3089f.jpg?v=1782274027\"\u003e\u003cp\u003eMultiple control methods are supported, including a standard IR remote and an optional micro:bit gamepad.\u003c\/p\u003e\n\u003cimg alt=\"Exploded view of Bitbot smart car parts: brackets, wheels, micro:bit board, expansion board, motors and battery\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Microbit-smart-robot-car-bitbot-with-IR-and-APP-for_2de3d399-c0ed-4b21-aff5-430a70f3cce8.jpg?v=1782274033\"\u003e\u003cp\u003eStraightforward assembly with clearly separated parts makes it easier to understand how the robot is built.\u003c\/p\u003e\n\u003cimg alt=\"MakeCode graphical programming blocks for controlling the micro:bit robot car on PC, tablet or phone\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Microbit-smart-robot-car-bitbot-with-IR-and-APP-for_3fb565c5-4322-44e8-aac6-1ca91d867801.jpg?v=1782274039\"\u003e\u003cp\u003eProgram the robot with MakeCode block coding across computer, tablet, or mobile devices.\u003c\/p\u003e\n\u003cimg alt=\"Python programming environment for micro:bit robot projects on a laptop\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Microbit-smart-robot-car-bitbot-with-IR-and-APP-for_cb2e05ca-04ac-4501-a6e0-ffd009ec52f8.jpg?v=1782274045\"\u003e\u003cp\u003ePython support helps learners progress from block coding to text-based programming.\u003c\/p\u003e\n\u003cimg alt=\"Yahboom micro:bit Bitbot smart robot learning materials graphic with micro:bit V1.5 and V2.0 compatibility icons\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Microbit-smart-robot-car-bitbot-with-IR-and-APP-for_77f85dfe-d73e-471c-b246-700bde3877ba.jpg?v=1782274051\"\u003e\u003cp\u003eThe Yahboom micro:bit Bitbot smart robot includes online learning materials and supports both micro:bit V1.5 and V2.0 boards.\u003c\/p\u003e\n\u003cimg alt=\"Folder view of Yahboom micro:bit Bitbot Smart Robot resources, including PDF guides, code files, and app control docs\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Microbit-smart-robot-car-bitbot-with-IR-and-APP-for_dbdd0ded-0472-4a09-88a2-85c1c6ac5fa4.jpg?v=1782274057\"\u003e\u003cp\u003eYahboom micro:bit Bitbot Smart Robot documentation and code resources include PDF guides, sample programs, and app control files for setup and use.\u003c\/p\u003e\n\u003cimg alt=\"Product parameters table for Yahboom micro:bit Bitbot smart robot, listing 3.7V battery, sensors, and size 96×120×110mm.\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Microbit-smart-robot-car-bitbot-with-IR-and-APP-for_c28eef49-5e07-47f9-875b-cfb13cf2234d.jpg?v=1782274063\"\u003e\u003cp\u003eYahboom micro:bit Bitbot smart robot specs include a micro:bit controller, 3.7V lithium battery (about 30 minutes), Bluetooth\/IR control, and 96×120×110mm size.\u003c\/p\u003e\n\u003cimg alt=\"Packing list for Yahboom micro:bit Bitbot smart robot kit with motors, wheels, ultrasonic sensor and remote\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Microbit-smart-robot-car-bitbot-with-IR-and-APP-for_0e4f2ec8-482d-4209-9225-0b503c085299.jpg?v=1782274069\"\u003e\u003cp\u003eThe Bitbot smart robot kit includes key build parts like motors, wheels, an ultrasonic sensor module, a remote control, cables, and hardware.\u003c\/p\u003e\n\u003c\/div\u003e","brand":"yahboom","offers":[{"title":"without micro:bit","offer_id":53136241459424,"sku":"6000200029-1","price":70.39,"currency_code":"USD","in_stock":true},{"title":"with micro:bit V2.0","offer_id":53136241492192,"sku":"6000200029-2","price":103.99,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0643\/3210\/3904\/files\/Yahboom-micro-bit-smart-robot-car-bitbot-with-IR-and-APP-for-Micro-bit-V2-V1.5-yahboom-1671099012.jpg?v=1782127871"},{"product_id":"yahboom-microros-self-balancing-robot","title":"Yahboom MicroROS Self-balancing Robot Car 4KG Load (Standard\/AI Vision) ROS2 Humble TOF LiDAR SLAM","description":"\u003ch2\u003eOverview\u003c\/h2\u003e\u003cp\u003eYahboom MicroROS Self-balancing Robot Car is a two-wheel self-balancing robot car platform designed for ROS2 (Humble) learning and development. It integrates STM32 + ESP32 dual processors, a metal chassis, 520 encoder DC reduction motors, a 6-axis IMU attitude sensor, ultrasonic module, TOF laser LiDAR, and an OLED display. Using MicroROS wireless communication, sensor data (such as LiDAR, odometer, 6-axis sensor, and optional camera) can be transmitted to a PC virtual machine system to complete complex computing tasks and generate decisions for mapping and navigation.\u003c\/p\u003e\u003cp\u003e\u003ciframe height=\"420\" src=\"https:\/\/www.youtube.com\/embed\/6Zq9BDnCugQ\" title=\"MicroROS Self-balancing Robot Car Support 4KG Load(Standard\/Vision version)\" width=\"600\"\u003e\u003c\/iframe\u003e\u003c\/p\u003e\u003ch2\u003eKey Features\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003eMicroROS wireless communication + virtual machine master control\u003c\/strong\u003e for real-time sensor data transmission and computation on the PC virtual machine\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eROS2 Humble\u003c\/strong\u003e support, with \u003cstrong\u003eRViz simulation\u003c\/strong\u003e for visualizing system status and SLAM processes\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eSLAM mapping \u0026amp; navigation\u003c\/strong\u003e support (gmapping and cartographer algorithms)\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eLiDAR functions\u003c\/strong\u003e: wall following, guard (faces nearest target), follow (tracks nearest target), patrol (scans route and stops when encountering obstacles), obstacle avoidance\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eUltrasonic obstacle avoidance\/following\u003c\/strong\u003e modes (switchable)\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eOLED data display\u003c\/strong\u003e (supports displaying the current mode and voltage of the robot car)\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003e4KG load balance\u003c\/strong\u003e capability; 3-layer structure design with an upper platform for carrying items\/DIY expansion\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eClimbing\u003c\/strong\u003e: supports slopes of about \u003cstrong\u003e30°\u003c\/strong\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eMulti-machine synchronous navigation\/control\u003c\/strong\u003e (multi-robot navigation on the same map; multi-machine handle control and keyboard control)\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eApp control\u003c\/strong\u003e: mapping navigation app (iOS\/Android) and Bluetooth remote control app (Android only)\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003eFor product selection, setup support, and after-sales service, contact \u003ca href=\"https:\/\/rcdrone.top\/\" rel=\"nofollow\"\u003ehttps:\/\/rcdrone.top\/\u003c\/a\u003e or email \u003ca href=\"mailto:support@rcdrone.top\"\u003esupport@rcdrone.top\u003c\/a\u003e.\u003c\/p\u003e\u003ch2\u003eStandard vs AI Vision Version\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003eStandard Version\u003c\/strong\u003e: AI visual interaction functions are not supported.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eAI Vision Version\u003c\/strong\u003e: adds a \u003cstrong\u003eROS-WiFi camera module\u003c\/strong\u003e and supports AI vision recognition\/interaction. The AI vision version supports viewing video in the mapping navigation app.\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch2\u003eAI Vision Functions (AI Vision Version Only)\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003eQR Code Motion Control (recognize QR code content and execute forward\/backward instructions)\u003c\/li\u003e\n\u003cli\u003ePalm Following\u003c\/li\u003e\n\u003cli\u003eGesture Control of Car Movement\u003c\/li\u003e\n\u003cli\u003eFace Tracking\u003c\/li\u003e\n\u003cli\u003eHuman Posture Tracking\u003c\/li\u003e\n\u003cli\u003eOpenCV image processing\u003c\/li\u003e\n\u003cli\u003eMediaPipe machine learning\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch2\u003eSpecifications\u003c\/h2\u003e\u003ctable\u003e\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eModel\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eMicroROS self-balancing robot car (Standard Version \/ AI Vision Version)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eMain processor\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eSTM32 + ESP32 dual processors\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eProcessor (detailed)\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eSTM32F103RCT6; ESP32-S3-WROOM-1U-N4R2\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eHost computer \/ ROS master control\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003ePC virtual machine\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eWireless mode\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eWiFi-UDP mode (connects to WiFi-UDP proxy of the virtual machine\/computer); Professional mode (STA) suitable for multi-robot control; devices should be within the same network segment\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eLiDAR\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eTOF LiDAR as standard; TOF laser LiDAR (SLAM)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eStandard sensors\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eOLED; Ultrasonic; TOF laser LiDAR (SLAM)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eIMU\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e6-axis IMU attitude sensor\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eMotor\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e520 encoder DC reduction motor\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eEncoder\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eAB phase speed encoder\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eControl algorithm\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003ePID \/ LQR (supports PID and LQR control)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eBattery\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e2200mAh battery pack\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eLoad\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e4KG load balance\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eClimbing\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eAbout 30° slope\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eRemote control\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eBT remote control APP; mapping navigation APP; keyboard control; handle control (optional)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eMobile apps\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eMap navigation APP supports iOS\/Android; Bluetooth remote control APP only supports Android\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eCamera (vision version)\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eROS-WiFi camera module\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eRViz\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eRViz simulation support\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eOnboard display\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eOLED data display (mode and voltage)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eProtection \/ warning\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eWith battery protection box; low voltage warning function\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eOS \/ platform note\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eNot support mac system\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eBT app parameter adjustment\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eNot support\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\u003c\/table\u003e\u003ch2\u003eApplications\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003eROS2 Humble learning and classroom teaching\u003c\/li\u003e\n\u003cli\u003eSLAM mapping and navigation experiments (gmapping\/cartographer)\u003c\/li\u003e\n\u003cli\u003eMulti-robot coordination demos (multi-machine synchronous navigation\/control)\u003c\/li\u003e\n\u003cli\u003eAI vision interaction projects (AI Vision Version with ROS-WiFi camera module)\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch2\u003eTutorial\u003c\/h2\u003e\u003cp\u003eTutorial link: \u003ca href=\"http:\/\/www.yahboom.net\/study\/SBR-microROS\" rel=\"noopener\" target=\"_blank\"\u003ehttp:\/\/www.yahboom.net\/study\/SBR-microROS\u003c\/a\u003e\u003c\/p\u003e\u003ch2 id=\"details\"\u003eDetails\u003c\/h2\u003e\u003cdiv class=\"details-gallery\"\u003e\n\u003cimg alt=\"Yahboom MicroROS Self-balancing Robot car with LiDAR, ultrasonic sensor, OLED and dual-wheel chassis for ROS2 learning\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/MicroROS-Self-balancing-Robot-Car-Support-4KG.jpg?v=1782273288\"\u003e\u003cp\u003eMicroROS wireless communication streams LiDAR\/IMU\/odometry data to a ROS2 Humble PC (virtual machine) for mapping and navigation.\u003c\/p\u003e\n\u003cimg alt=\"MicroROS self-balancing robot car front view showing LiDAR turret, ultrasonic module and 3-layer metal chassis\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/MicroROS-Self-balancing-Robot-Car-Support-4KG_43b52280-7dee-4b1b-b979-1ef7f9315047.jpg?v=1782273294\"\u003e\u003cimg alt=\"Configuration chart comparing Standard vs AI Vision versions, including ROS-WiFi camera option and SLAM support\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/MicroROS-Self-balancing-Robot-Car-Support-4KG_9d97d697-f535-41a6-8fd3-62b928c9c6cc.jpg?v=1782273300\"\u003e\u003cp\u003eChoose the Standard kit for core MicroROS + SLAM learning, or the AI Vision version to add the ROS-WiFi camera and vision interaction features.\u003c\/p\u003e\n\u003cimg alt=\"MicroROS wireless communication overview linking robot sensors to a PC virtual machine master over Wi‑Fi UDP\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/MicroROS-Self-balancing-Robot-Car-Support-4KG_edeaf64d-3230-4c80-afae-64de9180ed04.jpg?v=1782273308\"\u003e\u003cp\u003eA Wi‑Fi UDP bridge connects the robot to the ROS2 virtual-machine master, helping keep onboard compute lightweight.\u003c\/p\u003e\n\u003cimg alt=\"Parameter comparison of MicroROS self-balancing car versus STM32 self-balancing car, including sensors and ROS support\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/MicroROS-Self-balancing-Robot-Car-Support-4KG_63657089-25dd-40f4-9f6c-2e897b6a4df1.jpg?v=1782273314\"\u003e\u003cimg alt=\"LiDAR basic functions: wall following, guard, follow, patrol scanning route, and obstacle avoidance behaviors\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/MicroROS-Self-balancing-Robot-Car-Support-4KG_4ba359d5-16f1-45f4-a546-adabdada4c3c.jpg?v=1782273327\"\u003e\u003cp\u003eBuilt-in LiDAR behaviors include wall following, guard\/follow modes, patrol scanning, and obstacle avoidance for indoor demos.\u003c\/p\u003e\n\u003cimg alt=\"LiDAR SLAM function panels showing gmapping and cartographer maps plus path planning and app mapping navigation\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/MicroROS-Self-balancing-Robot-Car-Support-4KG_9831e97b-9bd0-49a2-acea-e6549acc0301.jpg?v=1782273334\"\u003e\u003cp\u003eROS2 SLAM workflows support gmapping and cartographer, plus path planning with obstacle avoidance and app-based mapping navigation.\u003c\/p\u003e\n\u003cimg alt=\"AI vision functions for AI Vision version: QR code control, palm following, gesture control, face tracking and posture tracking\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/MicroROS-Self-balancing-Robot-Car-Support-4KG_dc2d6dd4-ae22-46e7-bcdc-ec92d0536ab9.jpg?v=1782273340\"\u003e\u003cp\u003eThe AI Vision kit adds camera-based interactions such as QR code commands, gestures, palm following, and posture tracking.\u003c\/p\u003e\n\u003cimg alt=\"Multi-machine formation and interconnected control with multi-robot navigation, handle control, and keyboard control\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/MicroROS-Self-balancing-Robot-Car-Support-4KG_c849cb1c-1257-4c67-ae1c-885218f8df08.jpg?v=1782273347\"\u003e\u003cp\u003eRun multiple robots on the same map and coordinate movement using keyboard control or optional gamepad handles.\u003c\/p\u003e\n\u003cimg alt=\"Chassis control modes: posture estimation (IMU+Odom), app remote control, keyboard control, optional handle control, calibration\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/MicroROS-Self-balancing-Robot-Car-Support-4KG_324d2c4f-10b5-40a1-9e5e-239842c0d0cd.jpg?v=1782273354\"\u003e\u003cimg alt=\"Basic functions: posture recognition, 4 kg load balancing, 30° climbing, ultrasonic avoid\/follow, OLED mode\/voltage display\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/MicroROS-Self-balancing-Robot-Car-Support-4KG_6068031a-5558-4377-a8ac-7a285e6725c6.jpg?v=1782273361\"\u003e\u003cp\u003eA 3-layer metal structure supports payloads up to 4 kg, with ultrasonic modes and an OLED readout for status and voltage.\u003c\/p\u003e\n\u003cimg alt=\"ESP32 + STM32 dual-processor architecture diagram with ESP32 communication board and STM32 control board\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/MicroROS-Self-balancing-Robot-Car-Support-4KG_2873a795-43e1-4359-87b9-5066a5444b52.jpg?v=1782273367\"\u003e\u003cp\u003eSTM32 handles real-time motor control while ESP32 manages MicroROS wireless communication to the ROS2 master.\u003c\/p\u003e\n\u003cimg alt=\"Mobile control apps: mapping navigation app (iOS\/Android) and Bluetooth remote control app interface screens\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/MicroROS-Self-balancing-Robot-Car-Support-4KG_f6c6a819-b83c-4f08-9eac-f61a8dd0ef3e.jpg?v=1782273374\"\u003e\u003cp\u003eUse the mapping\/navigation app for SLAM workflows, or switch to Bluetooth remote control for quick driving tests.\u003c\/p\u003e\n\u003cimg alt=\"ROS2 Humble development and RViz simulation support for MicroROS self-balancing robot platform\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/MicroROS-Self-balancing-Robot-Car-Support-4KG_e19aba0e-e248-48c4-9570-0bd448610de8.jpg?v=1782273381\"\u003e\u003cimg alt=\"Cartographer-based fast relocation navigation comparison versus standard mapping algorithm for improved repositioning\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/MicroROS-Self-balancing-Robot-Car-Support-4KG_f126353c-eff1-4393-a1d5-35e94cb409a2.jpg?v=1782273387\"\u003e\u003cimg alt=\"Introduction to MicroROS architecture diagram showing ROS2 agent, micro-ROS client, middleware and real-time support layers\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/MicroROS-Self-balancing-Robot-Car-Support-4KG_14992ea7-0ed6-4c84-bb84-3aaf18ed5e82.jpg?v=1782273393\"\u003e\u003cimg alt=\"PID speed and position control learning content with phone app interface and included control code materials\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/MicroROS-Self-balancing-Robot-Car-Support-4KG_d57ae878-8941-45cf-b3b1-c1d61972388f.jpg?v=1782273400\"\u003e\u003cp\u003eLearning materials focus on PID speed\/position control, with example code and app-based tuning for faster bring-up.\u003c\/p\u003e\n\u003cimg alt=\"Course outline table covering assembly, MicroROS\/ROS2 setup, SLAM mapping, navigation, vision options and experiments\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/MicroROS-Self-balancing-Robot-Car-Support-4KG_3986a03d-1b0e-4800-984f-c9be078439c3.jpg?v=1782273416\"\u003e\u003cimg alt=\"Yahboom MicroROS self-balancing robot gift resources with tutorial link, folders, and English subtitle video files\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/MicroROS-Self-balancing-Robot-Car-Support-4KG_86de5785-5523-4c98-9398-93f4a5b32a2e.jpg?v=1782273424\"\u003e\u003cp\u003eYahboom includes a study link plus organized folders of documents and English-subtitled tutorial videos to help you get started.\u003c\/p\u003e\n\u003cimg alt=\"Exploded view of Yahboom MicroROS self-balancing robot kit with TOF lidar, ultrasonic module, OLED and control boards\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/MicroROS-Self-balancing-Robot-Car-Support-4KG_3e59a37f-323f-4838-af3d-9b5642747a62.jpg?v=1782273430\"\u003e\u003cp\u003eThe MicroROS self-balancing robot uses a layered chassis with TOF laser lidar, ultrasonic sensing, an OLED screen, and separate control\/communication boards, with an optional ROS WiFi camera module.\u003c\/p\u003e\n\u003cimg alt=\"Hardware features graphic showing TOF laser lidar module mounted on Yahboom MicroROS self-balancing robot base\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/MicroROS-Self-balancing-Robot-Car-Support-4KG_f0e5b5ac-1374-4e2d-bacd-b121259039d6.jpg?v=1782273436\"\u003e\u003cp\u003eThe TOF laser lidar module provides 360° scanning with up to 12 m ranging and a 5 cm blind area for navigation and mapping tasks.\u003c\/p\u003e\n\u003cimg alt=\"Yahboom MicroROS self-balancing robot with optional ROS-WiFi camera module and encoder motor overview\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/MicroROS-Self-balancing-Robot-Car-Support-4KG_4f6b21f5-7abf-4155-bcc9-faf13379c1e3.jpg?v=1782273442\"\u003e\u003cp\u003eThe MicroROS self-balancing robot supports an optional ROS‑WiFi camera module with 5V power and serial port connection for image capture and video streaming.\u003c\/p\u003e\n\u003cimg alt=\"Yahboom MicroROS self-balancing robot car chassis with two wheels, geared motor and AB phase encoder specs table\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/MicroROS-Self-balancing-Robot-Car-Support-4KG_c33e7d23-2470-45d3-bcb0-477f2faf371d.jpg?v=1782273448\"\u003e\u003cp\u003eThe Yahboom MicroROS self-balancing robot chassis uses a 12V geared motor (1:30) with an AB phase incremental Hall encoder (3.3–5V) for feedback control.\u003c\/p\u003e\n\u003cimg alt=\"ESP32 control board interface diagram with labeled ports for motors, OLED, microSD, camera, ultrasonic and line tracking modules\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/MicroROS-Self-balancing-Robot-Car-Support-4KG_537f5a11-0eb1-40c2-809c-3a7b15d2cf82.jpg?v=1782273454\"\u003e\u003cp\u003eThe Yahboom MicroROS self-balancing robot uses an ESP32 control board with clearly labeled connectors for motors and add-on modules like OLED, microSD, camera, and ultrasonic sensors.\u003c\/p\u003e\n\u003cimg alt=\"Yahboom ESP32 communication board with antenna, OLED connector, UART ports, BOOT\/RESET buttons, and LiDAR interface\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/MicroROS-Self-balancing-Robot-Car-Support-4KG_1cff662f-78bb-4895-b86b-f0f3a79a3584.jpg?v=1782273460\"\u003e\u003cp\u003eThe Yahboom ESP32 communication board includes labeled connectors for antenna, OLED, UART\/serial, and LiDAR, plus BOOT and RESET buttons for setup.\u003c\/p\u003e\n\u003cimg alt=\"Dimension and specs sheet for Yahboom microROS self-balancing robot with 194 mm width, 197 mm height and 84 mm wheels.\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/MicroROS-Self-balancing-Robot-Car-Support-4KG_8ddfbb7c-56ff-47bc-95b3-be3a3e15ff84.jpg?v=1782273465\"\u003e\u003cp\u003eYahboom’s microROS self-balancing robot includes a detailed dimension layout (194 mm wide, 197 mm tall) to help plan mounting and workspace fit.\u003c\/p\u003e\n\u003cimg alt=\"Shipping list for Yahboom MicroROS self-balancing robot kit with lidar, control boards, OLED screen, battery and cables\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/MicroROS-Self-balancing-Robot-Car-Support-4KG_11a63639-7a5a-4d89-afc0-5048a56ac50f.jpg?v=1782273471\"\u003e\u003cp\u003eThe MicroROS self-balancing robot kit includes the car body, Mini Plus laser lidar, ESP32 and STM32 boards, an OLED screen, a 12.6V battery pack, and basic wiring accessories.\u003c\/p\u003e\n\u003c\/div\u003e","brand":"Yahboom","offers":[{"title":"Standard Kit","offer_id":53136263348448,"sku":"6000200686-1","price":226.99,"currency_code":"USD","in_stock":true},{"title":"Vision Kit","offer_id":53136263381216,"sku":"6000200686-2","price":265.39,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0643\/3210\/3904\/files\/Self-balancingRobot-Car-01.jpg?v=1782128053"},{"product_id":"yahboom-rdk-x3-robot","title":"Yahboom RDK ROS2 Robot Car with Mecanum Wheel, RDK X3\/X5 (4GB\/8GB), MS200 TOF Lidar","description":"\u003ch2\u003eOverview\u003c\/h2\u003e\u003cp\u003eThe RDK ROS2 robot car is an educational robot car based on the RDK X3\/X5 development board, designed with Mecanum wheels for flexible omnidirectional movement. It supports ROS2 system development and SLAM mapping navigation, and combines camera vision with TOF lidar for navigation and obstacle avoidance. Development can be done with Jupyter Lab Python programming and deep learning algorithms for real-time perception and interaction.\u003c\/p\u003e\u003cp\u003eFor technical questions before or after purchase, contact support@rcdrone.top or visit https:\/\/rcdrone.top\/.\u003c\/p\u003e\u003ch2\u003eKey Features\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003eBased on RDK board; TogetherROS (ROS2); FreeRTOS\u003c\/li\u003e\n\u003cli\u003eAI visual recognition; OpenCV image processing\u003c\/li\u003e\n\u003cli\u003eMecanum wheel movement (360°); 4-wheel independent drive; motor with hall encoder\u003c\/li\u003e\n\u003cli\u003eTOF radar mapping navigation; depth camera 3D scanning (configuration dependent)\u003c\/li\u003e\n\u003cli\u003eHD MIPI camera\u003c\/li\u003e\n\u003cli\u003eAluminum alloy body; innovative chassis; stacked structure with tidy internal wiring\u003c\/li\u003e\n\u003cli\u003eMultiple control methods: mobile app, PS2 controller, computer keyboard, Jupyter Lab control, and ROS system control\u003c\/li\u003e\n\u003cli\u003eMapping Navigation APP supports iOS\/Android and supports ROS1\/ROS2\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch2\u003eConfiguration Options (as listed)\u003c\/h2\u003e\u003ctable\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eStandard Version\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eDepth camera: No\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eAdvanced Version\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eDepth camera: Astra Pro Plus depth camera\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eHD camera\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e8MP HD MIPI camera\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eLidar\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eMS200 TOF Lidar\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eROS controller\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eRDK X3 (4GB) \/ RDK X5 (8GB)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/table\u003e\u003ch2\u003eFunctions (from the product function list)\u003c\/h2\u003e\u003ch3\u003eLidar\u003c\/h3\u003e\u003col\u003e\n\u003cli\u003eIntroduction and use of lidar\u003c\/li\u003e\n\u003cli\u003eLidar obstacle avoidance\u003c\/li\u003e\n\u003cli\u003eLidar tracking\u003c\/li\u003e\n\u003cli\u003eLidar guard\u003c\/li\u003e\n\u003cli\u003ePatrol\u003c\/li\u003e\n\u003cli\u003eGamapping mapping\u003c\/li\u003e\n\u003cli\u003eCartographer mapping\u003c\/li\u003e\n\u003cli\u003eNavigation and avoiding\u003c\/li\u003e\n\u003cli\u003eAPP mapping and navigation\u003c\/li\u003e\n\u003c\/ol\u003e\u003ch3\u003eDepth camera\u003c\/h3\u003e\u003col\u003e\n\u003cli\u003eDepth camera usage\u003c\/li\u003e\n\u003cli\u003eCamera internal reference\u003c\/li\u003e\n\u003cli\u003eROS+OpenCV\u003c\/li\u003e\n\u003cli\u003eAR vision\u003c\/li\u003e\n\u003cli\u003eColor tracking\u003c\/li\u003e\n\u003cli\u003eKCF object tracking\u003c\/li\u003e\n\u003c\/ol\u003e\u003ch3\u003eMIPI camera\u003c\/h3\u003e\u003col\u003e\n\u003cli\u003eCamera drive\u003c\/li\u003e\n\u003cli\u003eColor HSV value adjustment\u003c\/li\u003e\n\u003cli\u003eColor recognition\u003c\/li\u003e\n\u003cli\u003eColor tracking\u003c\/li\u003e\n\u003cli\u003eColor follow\u003c\/li\u003e\n\u003cli\u003eQR code recognition\u003c\/li\u003e\n\u003cli\u003eFace detection\u003c\/li\u003e\n\u003cli\u003eObject detection\u003c\/li\u003e\n\u003cli\u003eVisual line patrol-OpenCV\u003c\/li\u003e\n\u003cli\u003eVisual line patrol-Deep Learning\u003c\/li\u003e\n\u003cli\u003eHuman tracking\u003c\/li\u003e\n\u003cli\u003eGesture control\u003c\/li\u003e\n\u003c\/ol\u003e\u003ch3\u003eROS Master (RDK X3\/X5)\u003c\/h3\u003e\u003col\u003e\n\u003cli\u003eVirtual Machine\u003c\/li\u003e\n\u003cli\u003eLinux Fundamentals\u003c\/li\u003e\n\u003cli\u003eRemote connection\u003c\/li\u003e\n\u003cli\u003eMulti-machine communication\u003c\/li\u003e\n\u003cli\u003eBind device ID\u003c\/li\u003e\n\u003cli\u003eImage back up\u003c\/li\u003e\n\u003c\/ol\u003e\u003ch3\u003eOpenCV\u003c\/h3\u003e\u003col\u003e\n\u003cli\u003eGetting Started with OpenCV\u003c\/li\u003e\n\u003cli\u003eOpenCV Geometric transformation\u003c\/li\u003e\n\u003cli\u003eOpenCV image processing\u003c\/li\u003e\n\u003cli\u003eOpenCV image beautification\u003c\/li\u003e\n\u003cli\u003eQR code creation and recognition\u003c\/li\u003e\n\u003c\/ol\u003e\u003ch3\u003eRobot course\u003c\/h3\u003e\u003col\u003e\n\u003cli\u003ePID algorithm theory\u003c\/li\u003e\n\u003cli\u003eRobot information release\u003c\/li\u003e\n\u003cli\u003eRobot control\u003c\/li\u003e\n\u003cli\u003eRobot state estimation\u003c\/li\u003e\n\u003cli\u003eRobot calibration\u003c\/li\u003e\n\u003cli\u003eRobot trajectory tracking\u003c\/li\u003e\n\u003cli\u003eURDF model\u003c\/li\u003e\n\u003c\/ol\u003e\u003ch2\u003eMS200 TOF Lidar (standard) Specifications\u003c\/h2\u003e\u003cp\u003eAdopt TOF ranging method; resist 30KLux strong light irradiation; support indoor and outdoor mapping navigation; measurement radius can reach 12M; measurement blind area is only 20cm; measurement error within 2M is ±20mm; sampling frequency is 4500\/S; scanning frequency is 7-15HZ; support 360° omni-directional scanning.\u003c\/p\u003e\u003ctable\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003ePrinciple of distance measurement\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eTOF\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eRange\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e0.03m~12.0m (90% reflectivity)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eMeasurement accuracy\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eTypical value: ±10mm (0.2m~2.0m); ±20mm (2.0m~12.0m). Maximum value: ±40mm (0.2m~12.0m)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eMeasurement accuracy\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eTypical value: \u0026lt;=4mm (0.2m~2.0m); \u0026lt;15mm (2.0m~12.0m). Maximum value: \u0026lt;=15mm (0.2m~2.0m); \u0026lt;30mm (2.0m~12.0m)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eData information\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003edistance, angle, intensity, timestamp\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eScan angle\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e360°\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eDot frequency\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e4,500 points\/second\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eSpinning speed\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e7~15Hz, default 10Hz (configurable, 1Hz interval)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eAngular resolution\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e0.8°@10Hz (angle resolution and dot frequency related)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eEye Safety Level\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eClass 1 IEC60825-1:2014\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eAnti-ambient light performance\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e30,000Lux\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eWorking power\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eDC 5.0±0.5V\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eOperating temperature\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e-10°C~50°C (Typical value 25°C)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eStorage temperature\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e-30°C~70°C (Typical value 25°C)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eProduct Size\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e37.7*37.5*33.0 (length×width×height), unit: mm\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eNet weight\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eabout 40g\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eCertified\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eRoHS2.0, REACH, CE, FCC\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eDegree of protection\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eIP5X\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/table\u003e\u003ch2\u003eAstra Pro Plus Depth Camera (optional) Specifications\u003c\/h2\u003e\u003cp\u003eThe Astra Pro Plus depth camera supports manual adjustment of the pitch angle. It supports depth image data processing and 3D navigation and mapping.\u003c\/p\u003e\u003ctable\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003e3D technology\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eORBBECR monocular structured light\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eWorking range\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e0.6-8m\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eAccuracy (Depth)\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e1m: ±3mm\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eField of View (FOV) (depth)\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eH 58.4° x V 45.8°\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eResolution@frame rate (depth)\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e640x480@30FPS; 320x240@30FPS; 160x120@30FPS\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eResolution@Frame Rate (RGB)\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e1920x1080@30FPS; 1280x720@30FPS; 640x480@30FPS\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eDeep processing chip\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eMX6000\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eClose protection\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003esupport\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eField of view (RGB)\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eH66.1° V40.2°\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eUVC (RGB)\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003esupport\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eSupported operating systems\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eAndroid \/ Linux \/ Windows\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eData interface\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eUSB2.0\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eSize (mm)\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e164.85*48.25*40\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eMicrophone\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003etwo-channel stereo\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003ePower consumption\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e\u0026lt;2.5W\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eSafety\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eClass1 laser\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eOperating temperature\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e10°C-40°C\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/table\u003e\u003ch2\u003eROS2 Versions (system images)\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003eRDK X3 version car: Using ROS2 Foxy\u003c\/li\u003e\n\u003cli\u003eRDK X5 version car: Using ROS2 humble\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch2\u003eVideo\u003c\/h2\u003e\u003cp style=\"text-align: center;\"\u003e\u003ciframe height=\"420\" src=\"https:\/\/www.youtube.com\/embed\/df3JXJleT30\" title=\"RDK ROS2 Robot Car with Mecanum Wheel\" width=\"600\"\u003e\u003c\/iframe\u003e\u003c\/p\u003e\u003ch2\u003eManuals\u003c\/h2\u003e\u003cp\u003eTutorial link: \u003ca href=\"http:\/\/www.yahboom.net\/study\/RDK-X3-Robot\" rel=\"noopener\" target=\"_blank\"\u003ehttp:\/\/www.yahboom.net\/study\/RDK-X3-Robot\u003c\/a\u003e\u003c\/p\u003e\u003ch2 id=\"details\"\u003eDetails\u003c\/h2\u003e\u003cdiv class=\"details-gallery\"\u003e\n\u003cimg alt=\"Yahboom RDK ROS2 Robot educational mecanum-wheel car with camera and lidar module on top\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/RDK-ROS2-Robot-Car-with-Mecanum-Wheel.jpg?v=1782268049\"\u003e\u003cp\u003eBuilt on the RDK X3\/X5 platform, the Yahboom RDK ROS2 Robot is designed for SLAM learning and omnidirectional mecanum movement.\u003c\/p\u003e\n\u003cimg alt=\"Feature overview icons for RDK ROS2 robot: ROS2, FreeRTOS, OpenCV, lidar mapping, MIPI camera, mecanum wheels\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/RDK-ROS2-Robot-Car-with-Mecanum-Wheel_279a4acf-f98b-4beb-8ec1-50d452906699.jpg?v=1782268055\"\u003e\u003cp\u003eCore capabilities include TogetherROS (ROS2), OpenCV vision, TOF radar mapping navigation, and a durable aluminum alloy chassis.\u003c\/p\u003e\n\u003cimg alt=\"Introduction slide highlighting upgraded support for RDK X3\/X5 boards and core robot functions\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/RDK-ROS2-Robot-Car-with-Mecanum-Wheel_fb548c8c-4c4f-4ebb-b75c-c0ebf5e68127.jpg?v=1782268066\"\u003e\u003cp\u003eMultiple upgrade paths support both RDK X3 and RDK X5 configurations for robotics development and expansion.\u003c\/p\u003e\n\u003cimg alt=\"Configuration comparison table for standard vs advanced version with depth camera, 8MP MIPI camera, MS200 TOF lidar\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/RDK-ROS2-Robot-Car-with-Mecanum-Wheel_e919a2f2-754c-4e11-98bf-be20c6e8557f.jpg?v=1782268072\"\u003e\u003cp\u003eChoose the standard kit or step up to the advanced version with an Astra Pro Plus depth camera while keeping the same lidar and HD MIPI camera foundation.\u003c\/p\u003e\n\u003cimg alt=\"RDK X3 ROS main control board diagram showing ports: HDMI, Ethernet, USB, 40-pin header, CSI and power connections\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/RDK-ROS2-Robot-Car-with-Mecanum-Wheel_09b450af-9f53-4ec3-8ba4-125cf02c1c60.jpg?v=1782268080\"\u003e\u003cp\u003eI\/O-rich RDK X3 control board supports HDMI, Ethernet, USB, CSI camera connection, and a 40‑pin interface for robotics integration.\u003c\/p\u003e\n\u003cimg alt=\"RDK X5 board layout with labeled interfaces including USB 3.0, HDMI, Ethernet, CSI, 40-pin header and power options\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/RDK-ROS2-Robot-Car-with-Mecanum-Wheel_7d375d16-b238-4394-9339-11c456bf3e67.jpg?v=1782268087\"\u003e\u003cp\u003eRDK X5 adds expanded connectivity and performance options for ROS2 projects, including high-speed interfaces for peripherals.\u003c\/p\u003e\n\u003cimg alt=\"Development board comparison chart listing RDK X3\/X5 versus Raspberry Pi and Jetson with CPU, RAM and interfaces\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/RDK-ROS2-Robot-Car-with-Mecanum-Wheel_9c6dbecb-ac07-43e4-9ced-4f83a9a73b33.jpg?v=1782268094\"\u003e\u003cp\u003eA quick comparison helps match the controller to your workload, from basic ROS learning to higher-demand AI perception tasks.\u003c\/p\u003e\n\u003cimg alt=\"ROS2 system image information showing ROS1 to ROS2 transition and ROS2 Foxy vs Humble options for RDK X3\/X5 cars\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/RDK-ROS2-Robot-Car-with-Mecanum-Wheel_334c1859-b0ca-4b0a-a35f-14325434174f.jpg?v=1782268101\"\u003e\u003cp\u003ePrebuilt ROS2 system images simplify setup, with options aligned to common ROS2 releases for RDK X3 and RDK X5.\u003c\/p\u003e\n\u003cimg alt=\"Lidar function poster with avoid, follow, patrol, guard modes and SLAM mapping navigation examples\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/RDK-ROS2-Robot-Car-with-Mecanum-Wheel_94dc1111-5c8f-4b4f-91bf-a6c495fa042b.jpg?v=1782268108\"\u003e\u003cp\u003eMS200 TOF lidar enables obstacle avoidance behaviors and supports mapping workflows like Gmapping and Cartographer.\u003c\/p\u003e\n\u003cimg alt=\"MIPI camera function collage showing object detection, body following, gesture control, face detection, QR recognition and tracking\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/RDK-ROS2-Robot-Car-with-Mecanum-Wheel_a652d600-f938-466a-92be-5b9a94b6191d.jpg?v=1782268115\"\u003e\u003cp\u003eVision features cover detection, tracking, gestures, and QR recognition to support interactive ROS2 perception demos.\u003c\/p\u003e\n\u003cimg alt=\"Depth camera and remote control functions including 3D mapping, AR vision, KCF tracking, app and controller operation\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/RDK-ROS2-Robot-Car-with-Mecanum-Wheel_524679b6-6d15-4ce0-b00b-5c01642b068f.jpg?v=1782268121\"\u003e\u003cp\u003eOptional depth sensing extends 3D mapping and tracking, while multiple control methods cover app, rocker controller, and keyboard.\u003c\/p\u003e\n\u003cimg alt=\"Yahboom RDK ROS2 Robot product function list covering lidar, depth camera, MIPI camera, ROS master, OpenCV and courses\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/RDK-ROS2-Robot-Car-with-Mecanum-Wheel_c37cdee4-e9b8-4c9c-96d8-6a810114d23c.jpg?v=1782268128\"\u003e\u003cp\u003eA consolidated function list outlines lidar navigation, camera vision modules, ROS master setup, and the included learning curriculum.\u003c\/p\u003e\n\u003cimg alt=\"Cross-platform control options showing iOS\/Android app control, mapping navigation app, keyboard, JupyterLab and ROS control\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/RDK-ROS2-Robot-Car-with-Mecanum-Wheel_913d4d38-c063-4797-a9e6-9d90a6452515.jpg?v=1782268135\"\u003e\u003cp\u003eControl the robot from mobile apps, a computer keyboard, JupyterLab, or directly through the ROS system for flexible workflows.\u003c\/p\u003e\n\u003cimg alt=\"MS200 TOF lidar hardware configuration sheet with parameters for ranging, scan angle and outdoor mapping support\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/RDK-ROS2-Robot-Car-with-Mecanum-Wheel_70372306-3a55-4d99-83b2-34cce04d859c.jpg?v=1782268142\"\u003e\u003cimg alt=\"Astra Pro Plus optional depth camera close-up with manual angle adjustment and specification table\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/RDK-ROS2-Robot-Car-with-Mecanum-Wheel_7a372d24-b1b7-4ede-a4ee-3020b6faaf78.jpg?v=1782268149\"\u003e\u003cimg alt=\"RDK MIPI camera (standard) close-up module with Sony IMX219 sensor and 8MP resolution specifications\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/RDK-ROS2-Robot-Car-with-Mecanum-Wheel_ca94b881-6763-474f-8335-17c7ca4d798e.jpg?v=1782268156\"\u003e\u003cimg alt=\"ROS robot expansion board and USB hub expansion board diagrams showing power, CAN, motor driver and multiple USB ports\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/RDK-ROS2-Robot-Car-with-Mecanum-Wheel_4d083fa5-6ba3-4507-ab60-47d1d8ccfdc3.jpg?v=1782268163\"\u003e\u003cimg alt=\"Z10 geared motor with encoder specification sheet for robot drive, showing model and electrical parameters\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/RDK-ROS2-Robot-Car-with-Mecanum-Wheel_5adc4231-52d5-470d-9a57-99329f17c080.jpg?v=1782268170\"\u003e\u003cimg alt=\"Exploded view of Yahboom RDK ROS2 robot kit with lidar, camera, controller boards, battery pack, and mecanum wheels.\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/RDK-ROS2-Robot-Car-with-Mecanum-Wheel_5989238b-cf6d-4539-b547-cc7beed051f8.jpg?v=1782268176\"\u003e\u003cp\u003eThe Yahboom RDK ROS2 robot stack combines an RDK control board, ROS expansion boards, MIPI camera, lidar, and a 7.4V battery pack in a layered chassis with mecanum wheels.\u003c\/p\u003e\n\u003cimg alt=\"Yahboom RDK ROS2 Robot online course page with tutorial links and downloadable folders for RDK-X3 and RDK-X5\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/RDK-ROS2-Robot-Car-with-Mecanum-Wheel_7fce9a0d-9218-47d4-9de5-2d7bb401b053.jpg?v=1782268183\"\u003e\u003cp\u003eYahboom RDK ROS2 Robot tutorials are organized with course folders and direct study links for RDK-X3 and RDK-X5 setup and development.\u003c\/p\u003e\n\u003cimg alt=\"Course content overview for Yahboom RDK ROS2 robot, with ROS2 Basic Course lessons, video tutorials, and driver board modules\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/RDK-ROS2-Robot-Car-with-Mecanum-Wheel_cc2b5adc-99de-4e3d-b69e-dd2aad1728c4.jpg?v=1782268190\"\u003e\u003cp\u003eThe Yahboom RDK ROS2 learning materials include a ROS2 basic course and English‑subtitled video tutorials alongside a driver board course with step‑by‑step modules.\u003c\/p\u003e\n\u003cimg alt=\"Course overview for Yahboom RDK ROS2 Robot with LiDAR, MIPI camera, depth camera lessons and documentation list\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/RDK-ROS2-Robot-Car-with-Mecanum-Wheel_38fa2073-893b-475b-a7a1-0eea4506da94.jpg?v=1782268197\"\u003e\u003cp\u003eThe Yahboom RDK ROS2 Robot course bundle covers LiDAR mapping and navigation plus MIPI and depth camera tracking, recognition, and ROS\/OpenCV basics, with supporting documentation included.\u003c\/p\u003e\n\u003cimg alt=\"Course catalog screenshot for Yahboom RDK ROS2 robot kit, listing ROS2 basics, SLAM, navigation and vision lessons\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/RDK-ROS2-Robot-Car-with-Mecanum-Wheel_89aea821-9c5c-4806-b488-138448de27c7.jpg?v=1782268204\"\u003e\u003cp\u003eThe Yahboom RDK ROS2 Robot course catalog covers setup, ROS2 fundamentals, mapping and navigation, plus camera and vision modules.\u003c\/p\u003e\n\u003cimg alt=\"Yahboom RDK ROS2 robot car with mecanum wheels, shown in standard and advanced style configurations\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/RDK-ROS2-Robot-Car-with-Mecanum-Wheel_b21b7d65-574b-485e-9068-198e6596c892.jpg?v=1782268210\"\u003e\u003cp\u003eThe Yahboom RDK ROS2 robot platform comes in multiple standard and advanced style configurations with mecanum wheels for omnidirectional movement.\u003c\/p\u003e\n\u003cimg alt=\"Yahboom RDK ROS2 robot size diagram and spec table for RDK X3\/X5, showing dimensions and key parameters\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/RDK-ROS2-Robot-Car-with-Mecanum-Wheel_d6385647-a150-4598-bd0c-38289e632400.jpg?v=1782268216\"\u003e\u003cp\u003eYahboom RDK ROS2 robot parameters list Ubuntu + ROS2 options (Foxy\/Humble), 4GB RAM, DC 7.4V power, and a 236.11 × 181.10 × 184.9 mm footprint.\u003c\/p\u003e\n\u003cimg alt=\"Yahboom RDK X3 ROS2 robot kit with mecanum wheels, camera module, antenna, and included parts list\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/RDK-ROS2-Robot-Car-with-Mecanum-Wheel_7f274132-ec56-4e5e-b85a-78a8719d36d0.jpg?v=1782268223\"\u003e\u003cp\u003eThe Yahboom RDK X3 ROS2 robot kit includes a mecanum-wheel chassis with a camera module, expansion board, antenna, and wiring accessories for assembly.\u003c\/p\u003e\n\u003c\/div\u003e","brand":"Yahboom","offers":[{"title":"Standard Kit \/ RDK X3-4GB","offer_id":53136442097888,"sku":"6000200511-1","price":435.8,"currency_code":"USD","in_stock":true},{"title":"Standard Kit \/ RDK X5-8GB","offer_id":53136442130656,"sku":"6000200511-2","price":507.8,"currency_code":"USD","in_stock":true},{"title":"Advanced Kit \/ RDK X3-4GB","offer_id":53136442163424,"sku":"6000200511-3","price":555.8,"currency_code":"USD","in_stock":true},{"title":"Advanced Kit \/ RDK X5-8GB","offer_id":53136442196192,"sku":"6000200511-4","price":627.8,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0643\/3210\/3904\/files\/RDK-X3_Robot_Car_Yahboom_01_d914b235-9d6e-4842-b910-7c6a548e3eb5.jpg?v=1782129343"},{"product_id":"yahboom-rdk-x3-robot-kit","title":"D-Robotics RDK X3 Robot Development Kit Board, 5 TOPS BPU, ROS1\/ROS2, Raspberry Pi-Compatible I\/O","description":"\u003ch2\u003eOverview\u003c\/h2\u003e\u003cp\u003eThe D-Robotics RDK X3 Robot Development Kit is an all-in-one robotic development kit designed and developed by D-Robotics. It provides 5 TOPS edge reasoning capability and standardized size\/interfaces compatible with Raspberry Pi interfaces, helping developers quickly deploy smart products and robotic solutions.\u003c\/p\u003e\u003ch2\u003eKey Features\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003e5 TOPS computing power (BPU \/ Brain Processing Unit)\u003c\/li\u003e\n\u003cli\u003eSupports ROS1\/ROS2\u003c\/li\u003e\n\u003cli\u003eSupports Ubuntu 20.04\/22.04\u003c\/li\u003e\n\u003cli\u003eDual-band WiFi 2.4\/5G\u003c\/li\u003e\n\u003cli\u003eOpen source AI reference algorithm\u003c\/li\u003e\n\u003cli\u003eCompatible with Raspberry Pi interface (size, hole position, and interface compatible with Raspberry Pi board)\u003c\/li\u003e\n\u003cli\u003eVideo processing: supports H.264\/H.265 encoding and decoding, achieving performance 4K@60fps\u003c\/li\u003e\n\u003cli\u003eCamera input handling: can simultaneously process inputs from 4 to 8 camera sensors with different resolutions; supports image post-processing such as distortion correction and stitching\u003c\/li\u003e\n\u003cli\u003eLower power consumption (listed max power consumption: 15W)\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch2\u003eSpecifications\u003c\/h2\u003e\u003ctable\u003e\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003eComputing power\u003c\/td\u003e\n\u003ctd\u003e5 TOPS\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eCPU\u003c\/td\u003e\n\u003ctd\u003e4-core Cortex-A53 @ 1.5GHz\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eMain frequency\u003c\/td\u003e\n\u003ctd\u003eSupports 1.8GHz (system upgrade note: performance improved by 50%)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eComputing unit\u003c\/td\u003e\n\u003ctd\u003eBPU (Brain Processing Unit)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eBPU\u003c\/td\u003e\n\u003ctd\u003e2x bernoulli2@5TOPS\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eRAM\u003c\/td\u003e\n\u003ctd\u003e2GB\/4GB Optional\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eCSI camera\u003c\/td\u003e\n\u003ctd\u003e2 x 2-lane MIPI CSI\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eVideo encoding\u003c\/td\u003e\n\u003ctd\u003e1 x 4K60 (H.265\/H.264)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eVideo decoding\u003c\/td\u003e\n\u003ctd\u003e1 x 4K60 (H.265\/H.264)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eDisplay\u003c\/td\u003e\n\u003ctd\u003e1 x HDMI; maximum support 1080p60\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eUSB\u003c\/td\u003e\n\u003ctd\u003e1 x USB Type-A 3.0; 2 x USB Type-A 2.0; 1 x Debugging serial port (Micro USB)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eNetwork\u003c\/td\u003e\n\u003ctd\u003e1 x RJ45 Gigabit Ethernet port; 1 x dual-band WiFi + BT 4.2\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eI\/O\u003c\/td\u003e\n\u003ctd\u003e28 GPIOs (UART \u0026amp; PWM \u0026amp; I2C \u0026amp; SPI \u0026amp; I2S)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003ePower supply\u003c\/td\u003e\n\u003ctd\u003e5V\/3A\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003ePower consumption\u003c\/td\u003e\n\u003ctd\u003eMax 15W\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eDimensions\u003c\/td\u003e\n\u003ctd\u003e85*56*19mm\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eMounting hole\u003c\/td\u003e\n\u003ctd\u003ePhi 2.8 (using M2.5 screws)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eAdditional labeled dimensions\u003c\/td\u003e\n\u003ctd\u003e85mm; 56mm; 58mm; 49mm\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eYOLOv5 algorithm frame rate\u003c\/td\u003e\n\u003ctd\u003e28-30FPS\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eCPU performance\u003c\/td\u003e\n\u003ctd\u003e591\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eUnixBench CPU performance benchmark score\u003c\/td\u003e\n\u003ctd\u003eBefore system upgrade: 410.7; After system upgrade: 591.0\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eOS support\u003c\/td\u003e\n\u003ctd\u003eUbuntu 20.04\/22.04\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eROS support\u003c\/td\u003e\n\u003ctd\u003eROS1\/ROS2\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\u003c\/table\u003e\u003ch2\u003eWhat's Included\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003eEnhanced WiFi antenna (enhanced signal; can be installed on the case)\u003c\/li\u003e\n\u003cli\u003eCH9102 serial port module + connect cable (for serial port debugging and firmware update; anti reverse interface)\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch2\u003eApplications\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003eROS robot development\u003c\/li\u003e\n\u003cli\u003eAI vision robot development\u003c\/li\u003e\n\u003cli\u003eSmart product prototyping with Raspberry Pi-compatible size and interfaces\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003eFor product selection help, setup questions, or after-sales support, contact \u003ca href=\"https:\/\/rcdrone.top\/\" rel=\"noopener\" target=\"_blank\"\u003ehttps:\/\/rcdrone.top\/\u003c\/a\u003e or email \u003ca href=\"mailto:support@rcdrone.top\"\u003esupport@rcdrone.top\u003c\/a\u003e.\u003c\/p\u003e\u003ch2\u003eManuals\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003e\u003ca href=\"http:\/\/www.yahboom.net\/study\/RDK_X3\" rel=\"noopener\" target=\"_blank\"\u003eYahboom RDK X3 Robotic Development Kit (Tutorials)\u003c\/a\u003e\u003c\/li\u003e\n\u003cli\u003e\u003ca href=\"https:\/\/en.developer.d-robotics.cc\/documentation\" rel=\"noopener\" target=\"_blank\"\u003eRDK X3 Official Tutorials \/ Documentation\u003c\/a\u003e\u003c\/li\u003e\n\u003cli\u003e\u003ca href=\"https:\/\/en.developer.d-robotics.cc\/forum\" rel=\"noopener\" target=\"_blank\"\u003eRobotics Developer Community Forum\u003c\/a\u003e\u003c\/li\u003e\n\u003cli\u003e\u003ca href=\"https:\/\/en.developer.d-robotics.cc\/nodehub\" rel=\"noopener\" target=\"_blank\"\u003eNodeHub (Open Source Robotics Application Center)\u003c\/a\u003e\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch2 id=\"details\"\u003eDetails\u003c\/h2\u003e\u003cdiv class=\"details-gallery\"\u003e\n\u003cimg alt=\"RDK X3 robot car with mecanum wheels for ROS2 vision recognition and SLAM mapping navigation\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/RDK-X3-Robot-Development-Kit.jpg?v=1782265806\"\u003e\u003cp\u003eAn upgrade path for mobile robotics projects, pairing RDK X3 compute with a mecanum-wheel robot chassis.\u003c\/p\u003e\n\u003cimg alt=\"D-Robot RDK X3 robotic development kit board with Raspberry Pi–compatible header and onboard ports\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/RDK-X3-Robot-Development-Kit_ba48c320-b95a-459f-b7e7-0012b457d2ad.jpg?v=1782265813\"\u003e\u003cp\u003eD-Robot (RDK X3) provides 5 TOPS edge AI compute in a Raspberry Pi–compatible form factor for fast prototyping.\u003c\/p\u003e\n\u003cimg alt=\"RDK X3 feature overview highlighting ROS1\/ROS2, 5 TOPS compute, Ubuntu support, and included accessories\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/RDK-X3-Robot-Development-Kit_2729de7f-3ad0-4c38-a79a-1d415a573e5d.jpg?v=1782265819\"\u003e\u003cp\u003eIncluded extras like the enhanced WiFi antenna and CH9102 serial module help streamline setup, debugging, and updates.\u003c\/p\u003e\n\u003cimg alt=\"RDK X3 newly upgraded system graphic showing 1.8GHz support and CPU benchmark improvement\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/RDK-X3-Robot-Development-Kit_fa8e923d-2f47-4068-a54a-01cf5e5853d9.jpg?v=1782265825\"\u003e\u003cp\u003eSystem upgrades can raise the main frequency up to 1.8GHz, improving CPU benchmark performance versus earlier firmware.\u003c\/p\u003e\n\u003cimg alt=\"D-Robotics certificate of authorization for Shenzhen Yahboom Technology Co., Ltd. as distributor\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/RDK-X3-Robot-Development-Kit_b780608c-1ace-45c5-9049-d0b2b73131f1.jpg?v=1782265831\"\u003e\u003cimg alt=\"About RDK X3 graphic describing Raspberry Pi interface compatibility, multi-camera input, and H.264\/H.265 support\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/RDK-X3-Robot-Development-Kit_fdb3c6d7-861d-4b32-a276-4c7ce51d43d2.jpg?v=1782265837\"\u003e\u003cp\u003eBuilt for vision workloads, it supports multi-camera inputs and hardware video encoding\/decoding for edge processing.\u003c\/p\u003e\n\u003cimg alt=\"Comparison chart of RDK X3 versus Raspberry Pi 5 showing compute power, power consumption, and YOLOv5 frame rate\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/RDK-X3-Robot-Development-Kit_1dd9851a-04e3-445e-aaf9-1002c3a7dc4c.jpg?v=1782265843\"\u003e\u003cimg alt=\"RDK X3 MIPI HD camera module connection example with CSI ribbon and IMX219 noted in graphic\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/RDK-X3-Robot-Development-Kit_ca3166fd-2acb-4e01-b4fb-1058c37d18c6.jpg?v=1782265849\"\u003e\u003cp\u003eAdd an optional MIPI CSI camera module for AI vision tasks and real-time inference projects.\u003c\/p\u003e\n\u003cimg alt=\"RDK series development board comparison table listing RDK X3 vs RDK X5 specifications and interfaces\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/RDK-X3-Robot-Development-Kit_48140fab-758e-447e-ac07-98130cb65b22.jpg?v=1782265860\"\u003e\u003cimg alt=\"Top banner UI strip reading “This product” and “Click to buy”\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/RDK-X3-Robot-Development-Kit.webp?v=1782265865\"\u003e\u003cimg alt=\"RDK X3 tutorials, official documentation, and robotics developer community forum links screenshot\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/RDK-X3-Robot-Development-Kit_2f1a539e-b99d-47de-9cce-d6d318d7bc0b.jpg?v=1782265871\"\u003e\u003cp\u003eOfficial tutorials, documentation, and community forum resources are available to support development from day one.\u003c\/p\u003e\n\u003cimg alt=\"NodeHub open source robotics application center page with downloadable examples and project listings\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/RDK-X3-Robot-Development-Kit_5cd62771-12e3-405e-87f2-fce452a0f2f6.jpg?v=1782265877\"\u003e\u003cp\u003eNodeHub offers ready-to-run robotics application examples to speed up deployment and testing.\u003c\/p\u003e\n\u003cimg alt=\"RDK Studio software interface showing quick application startup, board management, and system monitoring panels\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/RDK-X3-Robot-Development-Kit_612258ea-7a44-4815-82de-a6172881f0c1.jpg?v=1782265884\"\u003e\u003cp\u003eRDK Studio simplifies app launching and device management while providing at-a-glance system status monitoring.\u003c\/p\u003e\n\u003cimg alt=\"BPU algorithm architecture graphic and video processing capability highlights for multi-camera input and 4K video\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/RDK-X3-Robot-Development-Kit_a3c47847-3066-4b00-a4f1-fa29ad8fc66f.jpg?v=1782265890\"\u003e\u003cp\u003eThe onboard BPU accelerates AI inference, while dedicated video pipelines support efficient 4K processing workflows.\u003c\/p\u003e\n\u003cimg alt=\"D-Robot RDK X3 Ubuntu desktop support and Raspberry Pi–compatible size with mounting hole measurements\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/RDK-X3-Robot-Development-Kit_8ddc15b4-9c00-48ec-afee-6acf59bc3aa6.jpg?v=1782265897\"\u003e\u003cp\u003eUbuntu support plus Raspberry Pi–compatible mounting and interfaces make integration into existing builds straightforward.\u003c\/p\u003e\n\u003cimg alt=\"RDK X3 interface distribution diagram labeling HDMI, Ethernet, USB, CSI, GPIO header, and power connections\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/RDK-X3-Robot-Development-Kit_3a3b560d-9164-4c43-81f6-de3bc165b4e1.jpg?v=1782265903\"\u003e\u003cp\u003eClear interface layout helps plan wiring for cameras, GPIO peripherals, networking, and display output.\u003c\/p\u003e\n\u003cimg alt=\"Accessory collage for RDK X3 including sensors, keyboard, mouse, camera, and other add-ons with call-to-action\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/RDK-X3-Robot-Development-Kit_11cad901-8d02-44de-b430-c24e6a2d01ec.jpg?v=1782265909\"\u003e\u003cimg alt=\"RDK X3 mechanical dimensions drawing showing 85×56×19mm size and mounting hole spacing for M2.5 screws\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/RDK-X3-Robot-Development-Kit_c031db17-70e9-4a7a-817c-b5e954ad859e.jpg?v=1782265915\"\u003e\u003cp\u003eUse the detailed mechanical drawing to verify enclosure fit, mounting points, and board clearances.\u003c\/p\u003e\n\u003cimg alt=\"RDK X3 parameter sheet listing Cortex-A55 CPU, 5 TOPS BPU, USB ports, Wi‑Fi\/RJ45, and IMX219 8MP camera specs\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/RDK-X3-Robot-Development-Kit_03e39b62-023f-424d-b5c1-c3628a0c7890.jpg?v=1782265920\"\u003e\u003cp\u003eRDK X3 specifications include a quad-core Cortex-A55 CPU, dual-core 5 TOPS BPU, USB host ports, Wi‑Fi\/RJ45 connectivity, and an IMX219 8MP MIPI camera module.\u003c\/p\u003e\n\u003cimg alt=\"Shipping list showing RDK X3 (2GB\/4GB) board, plus free enhanced WiFi antenna and CH9102 serial port module\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/RDK-X3-Robot-Development-Kit_0a3f71ec-d0d6-4ae1-8214-ac0e64822278.jpg?v=1782265926\"\u003e\u003cp\u003eThe D-Robot RDK X3 separate board package includes the RDK X3 (2GB\/4GB) plus a free enhanced WiFi antenna and CH9102 serial port module with connection cable.\u003c\/p\u003e\n\u003cimg alt=\"D-Robot Basic Kit with RDK X3 board, Type‑C 5V\/3A power supply, WiFi antenna, CH9102 serial module, TF card and reader\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/RDK-X3-Robot-Development-Kit_91c75ff5-7abf-45ce-ab34-409b5409e801.jpg?v=1782265932\"\u003e\u003cp\u003eThe D-Robot Basic Kit includes the RDK X3 board plus a Type‑C 5V\/3A power supply, WiFi antenna, CH9102 serial module with cable, TF card, and card reader.\u003c\/p\u003e\n\u003c\/div\u003e","brand":"Yahboom","offers":[{"title":"2G \/ Separate board","offer_id":53136519430368,"sku":"3000101160-1","price":111.8,"currency_code":"USD","in_stock":true},{"title":"2G \/ Basic kit","offer_id":53136519463136,"sku":"3000101160-2","price":123.8,"currency_code":"USD","in_stock":true},{"title":"2G \/ Aluminum alloy case kit","offer_id":53136519495904,"sku":"3000101160-3","price":152.6,"currency_code":"USD","in_stock":true},{"title":"2G \/ Camera kit","offer_id":53136519528672,"sku":"3000101160-4","price":181.4,"currency_code":"USD","in_stock":true},{"title":"4G \/ Separate board","offer_id":53136519561440,"sku":"3000101160-5","price":147.8,"currency_code":"USD","in_stock":true},{"title":"4G \/ Basic kit","offer_id":53136519594208,"sku":"3000101160-6","price":159.8,"currency_code":"USD","in_stock":true},{"title":"4G \/ Aluminum alloy case kit","offer_id":53136519626976,"sku":"3000101160-7","price":188.6,"currency_code":"USD","in_stock":true},{"title":"4G \/ Camera kit","offer_id":53136519659744,"sku":"3000101160-8","price":217.4,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0643\/3210\/3904\/files\/RDK_X3_Board_Yahboom_01_27595c45-2e2c-42a0-a17e-a06d3957ff25.jpg?v=1782129891"},{"product_id":"d-robotics-rdk-x5-magicbox-robot","title":"D-Robotics RDK X5 MagicBox Multimodal Intelligent Platform, 8GB RAM, 10 TOPS, GS130WI Stereo Depth","description":"\u003ch2\u003eOverview\u003c\/h2\u003e\u003cp\u003eThe D-Robotics RDK X5 MagicBox is a multimodal intelligent platform integrating vision, hearing, and motion in a compact, ready-to-use system. Built around the RDK X5 main controller (RDK X5 8GB Developer Kit), it combines a GS130WI stereo depth camera with adjustable tilt, a high-sensitivity microphone, a speaker, programmable RGB status lights, and dual servo-driven rocker arms to support “see, hear, speak, and move” style human-machine interaction for teaching, research, and creative development.\u003c\/p\u003e\u003cp\u003e\u003ciframe height=\"751\" src=\"https:\/\/www.youtube.com\/embed\/J5gSRAFVLjw\" title=\"The All-in-One AI Lab: RDK X5 MagicBox with OpenClaw Agent\" width=\"1335\"\u003e\u003c\/iframe\u003e\u003c\/p\u003e\u003ch2\u003eKey Features\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003eHigh-performance computing core:\u003c\/strong\u003e Built-in RDK X5 8GB main controller delivering up to \u003cstrong\u003e10 TOPS\u003c\/strong\u003e AI computing power.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eStereo depth perception:\u003c\/strong\u003e Integrated \u003cstrong\u003eGS130WI\u003c\/strong\u003e stereo depth camera with synchronized binocular imaging and \u003cstrong\u003eadjustable tilt\u003c\/strong\u003e.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003ePhysical interaction:\u003c\/strong\u003e Dual independent servos drive \u003cstrong\u003eservo rocker arms\u003c\/strong\u003e for programmable, smooth motion and gesture interaction.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eProgrammable status lighting:\u003c\/strong\u003e\u003cstrong\u003e4x WS2812B\u003c\/strong\u003e RGB status lights with \u003cstrong\u003e24-bit\u003c\/strong\u003e full-color control for customized lighting effects.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eVoice interaction hardware:\u003c\/strong\u003e Integrated \u003cstrong\u003emicrophone\u003c\/strong\u003e and \u003cstrong\u003espeaker\u003c\/strong\u003e for voice-based interaction development.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eSensors \u0026amp; structure:\u003c\/strong\u003e Includes a \u003cstrong\u003e6-axis IMU sensor\u003c\/strong\u003e and \u003cstrong\u003e2x multi-functional adjustable stands\u003c\/strong\u003e.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eBuilt-in vision algorithm examples:\u003c\/strong\u003e Gesture Interaction, Body Gesture Recognition, YOLO Object Detection, Stereo Depth Vision Algorithm.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eDeveloper workflow:\u003c\/strong\u003e Supports RDK Studio and one-click OpenClaw installation; OpenClaw application tutorials are provided (materials noted as updated March 2026).\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch2\u003eSpecifications\u003c\/h2\u003e\u003ctable\u003e\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003eModel\u003c\/td\u003e\n\u003ctd\u003eRDK X5 MagicBox\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eMain controller\u003c\/td\u003e\n\u003ctd\u003eRDK X5 8GB Developer Kit (built-in)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eAI computing power\u003c\/td\u003e\n\u003ctd\u003eUp to 10 TOPS\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eRAM\u003c\/td\u003e\n\u003ctd\u003e8GB\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eFlash\u003c\/td\u003e\n\u003ctd\u003e1Gbit NAND Flash\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eDepth camera\u003c\/td\u003e\n\u003ctd\u003eGS130WI Stereo Depth Camera (adjustable tilt)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eMicrophone\u003c\/td\u003e\n\u003ctd\u003eMicrophone (supports large model interaction)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eSpeaker\u003c\/td\u003e\n\u003ctd\u003eSpeaker (supports large model interaction)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eRGB status lights\u003c\/td\u003e\n\u003ctd\u003eProgrammable RGB Status Lights x4 (WS2812B, 24-bit full-color)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eAdjustable stands\u003c\/td\u003e\n\u003ctd\u003eMulti-functional Adjustable Stands x2\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eIMU\u003c\/td\u003e\n\u003ctd\u003e6-axis IMU Sensor\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\u003c\/table\u003e\u003ch2\u003eWhat's Included\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003eD-Robotics RDK X5 MagicBox\u003c\/li\u003e\n\u003cli\u003e32GB TF card pre-installed with the official system image\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch2\u003eApplications\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003eUniversity training \u0026amp; education\u003c\/li\u003e\n\u003cli\u003eRobot development\u003c\/li\u003e\n\u003cli\u003eHuman-robot interaction\u003c\/li\u003e\n\u003cli\u003eAlgorithm development \u0026amp; validation\u003c\/li\u003e\n\u003cli\u003eMultimodal AI exploration projects\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch2\u003eSupport\u003c\/h2\u003e\u003cp\u003eFor product selection, integration questions, or after-sales support, contact \u003ca href=\"https:\/\/rcdrone.top\/\" rel=\"noopener\" target=\"_blank\"\u003ehttps:\/\/rcdrone.top\/\u003c\/a\u003e or email \u003ca href=\"mailto:support@rcdrone.top\"\u003esupport@rcdrone.top\u003c\/a\u003e.\u003c\/p\u003e\u003ch2 id=\"details\"\u003eDetails\u003c\/h2\u003e\u003cdiv class=\"details-gallery\"\u003e\n\u003cimg alt=\"D-Robot D-Robotics RDK X5 MagicBox multimodal AI robot platform with stereo camera, mic, speaker and RGB lights\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/RDK-X5-MagicBox-Multimodal-Intelligent-Platform-with-8GB-RAM.jpg?v=1782264789\"\u003e\u003cp\u003eMeet D‑Robot: a compact RDK X5 MagicBox platform built to see, hear, speak, and move for multimodal AI projects.\u003c\/p\u003e\n\u003cimg alt=\"RDK X5 MagicBox feature overview highlighting stereo depth camera, microphone, speaker, RGB lights, IMU and adjustable stands\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/RDK-X5-MagicBox-Multimodal-Intelligent-Platform-with-8GB-RAM_c8f6da1f-6846-4ce3-9991-e1c3bc59119c.jpg?v=1782264795\"\u003e\u003cp\u003eA highly integrated build combines sensing, audio, lighting, motion hardware, and onboard compute in one ready-to-use unit.\u003c\/p\u003e\n\u003cimg alt=\"OpenClaw application tutorials and updated development materials list (updated March 2026) for RDK X5 MagicBox\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/OpenClaw-application-tutorials-and-updated-development.webp?v=1782265280\"\u003e\u003cp\u003eStep-by-step OpenClaw tutorials and continuously updated resources help speed up setup and experimentation.\u003c\/p\u003e\n\u003cimg alt=\"32GB TF card note and D-Robotics certificate of authorization document for RDK series distributor (valid 2024–2026)\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/RDK-X5-MagicBox-Multimodal-Intelligent-Platform-with-8GB-RAM_294beb97-f4d3-425e-995f-995e769297ff.jpg?v=1782264810\"\u003e\u003cp\u003eA 32GB TF card with the official system image is included, along with distributor authorization documentation.\u003c\/p\u003e\n\u003cimg alt=\"Product introduction slide with RDK X5 MagicBox desktop unit showing stereo front cameras and illuminated status bar\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/RDK-X5-MagicBox-Multimodal-Intelligent-Platform-with-8GB-RAM_628be48b-dbec-4a63-9ee5-3852a3e0497d.jpg?v=1782264816\"\u003e\u003cp\u003eDesigned for teaching, research, and rapid prototyping, the MagicBox format keeps multimodal interaction hardware within reach.\u003c\/p\u003e\n\u003cimg alt=\"High-performance RDK X5 8GB main controller graphic noting up to 10 TOPS computing power for AI models\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/RDK-X5-MagicBox-Multimodal-Intelligent-Platform-with-8GB-RAM_96ef13f6-c979-40fd-b9bc-30f51398d0f1.jpg?v=1782264830\"\u003e\u003cp\u003eThe built-in RDK X5 8GB developer kit delivers up to 10 TOPS to support modern AI workloads.\u003c\/p\u003e\n\u003cimg alt=\"Highly integrated design callouts for vision, hearing, computing power, status lights and servo rocker arms on the unit\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/RDK-X5-MagicBox-Multimodal-Intelligent-Platform-with-8GB-RAM_2c858de9-7b04-4144-a732-ef4958279a23.jpg?v=1782264836\"\u003e\u003cp\u003eVision, audio I\/O, IMU sensing, lighting, and actuators are organized as a single interactive robot module.\u003c\/p\u003e\n\u003cimg alt=\"Stereo depth perception highlight with GS130WI binocular camera and sample depth map results on RDK X5 MagicBox\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/RDK-X5-MagicBox-Multimodal-Intelligent-Platform-with-8GB-RAM_76c31f49-e106-48cb-bd3b-ccf610a1e8f0.jpg?v=1782264852\"\u003e\u003cp\u003eSynchronized binocular imaging enables depth-based perception for robotics and interactive vision applications.\u003c\/p\u003e\n\u003cimg alt=\"Dynamic servo rocker arm internal view showing dual independent servos for programmable motion and gestures\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Dynamic-servo-rocker-arm-internal-view-showing-dual.webp?v=1782265297\"\u003e\u003cp\u003eDual servos drive the rocker arms for smooth, programmable movement and gesture-style interactions.\u003c\/p\u003e\n\u003cimg alt=\"Programmable WS2812B RGB status lights on RDK X5 MagicBox with multiple color examples and side ports visible\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/RDK-X5-MagicBox-Multimodal-Intelligent-Platform-with-8GB-RAM_22787e04-b707-4a60-a075-2cf36a756e12.jpg?v=1782264876\"\u003e\u003cp\u003eFour programmable RGB status LEDs support 24‑bit full-color effects for feedback and interaction cues.\u003c\/p\u003e\n\u003cimg alt=\"Intelligent voice interaction slide showing microphone and speaker support with example chat bubbles above the device\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/RDK-X5-MagicBox-Multimodal-Intelligent-Platform-with-8GB-RAM_37721166-157d-4b65-ae98-f3ec2b01828b.jpg?v=1782264900\"\u003e\u003cp\u003eBuilt-in microphone and speaker hardware supports voice-control prototyping and conversational interaction flows.\u003c\/p\u003e\n\u003cimg alt=\"Out-of-box ready and easy to expand graphic showing RDK Studio interface, OpenClaw icons, USB cable and keyboard\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/RDK-X5-MagicBox-Multimodal-Intelligent-Platform-with-8GB-RAM_28c8dd49-58e1-47b4-b84b-df5ac4194a0d.jpg?v=1782264906\"\u003e\u003cp\u003eQuick-start workflows with RDK Studio and one-click OpenClaw installation make it easy to expand with peripherals.\u003c\/p\u003e\n\u003cimg alt=\"RDK Studio support screenshot displaying example cards for vision models, camera demos and YOLO-related tools\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/RDK-X5-MagicBox-Multimodal-Intelligent-Platform-with-8GB-RAM_e0d11862-940f-47ff-8bd1-d6149a5514fe.jpg?v=1782264912\"\u003e\u003cp\u003eRDK Studio provides an organized hub for demos and examples, helping developers ramp up faster.\u003c\/p\u003e\n\u003cimg alt=\"Application scenarios classroom scene with blurred faces and callouts for training, robot development and interaction use\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/RDK-X5-MagicBox-Multimodal-Intelligent-Platform-with-8GB-RAM_63339f2b-835b-4ec5-a33f-2e2e69463c7b.jpg?v=1782264918\"\u003e\u003cp\u003eSuitable for university training, human-robot interaction demos, and algorithm development in lab or classroom settings.\u003c\/p\u003e\n\u003cimg alt=\"Gift information graphic showing tutorial link and RDK X5 MagicBox repository website displayed on a laptop screen\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/RDK-X5-MagicBox-Multimodal-Intelligent-Platform-with-8GB-RAM_823f994f-5c5e-4d50-b64c-fb998fa64618.jpg?v=1782264923\"\u003e\u003cp\u003eA dedicated online repository link is provided for tutorials and downloads.\u003c\/p\u003e\n\u003cimg alt=\"RDK X5 MagicBox course outline slide listing topics and modules for setup, development, and application tutorials\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/RDK-X5-MagicBox-Multimodal-Intelligent-Platform-with-8GB-RAM_cdc21e90-af72-48fa-bb6e-c1eaadeb9dd5.jpg?v=1782264930\"\u003e\u003cp\u003eA structured course outline helps guide learning from installation through advanced application development.\u003c\/p\u003e\n\u003cimg alt=\"Details tutorials and open-source code folders for RDK MagicBox user guide and ROS2 basic tutorial resources\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/RDK-X5-MagicBox-Multimodal-Intelligent-Platform-with-8GB-RAM_91874383-aafd-4225-bcf2-f7febd458539.jpg?v=1782264936\"\u003e\u003cp\u003eDocumentation and open-source resources include user guides and ROS2 starter materials.\u003c\/p\u003e\n\u003cimg alt=\"Free online AI large model development materials showing text-to-image, visual understanding and application folders\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/RDK-X5-MagicBox-Multimodal-Intelligent-Platform-with-8GB-RAM_ab589e17-bd5b-4a67-b701-56ae150c22b6.jpg?v=1782264943\"\u003e\u003cp\u003eOnline materials cover multimodal projects such as text-to-image, visual understanding, and interaction applications.\u003c\/p\u003e\n\u003cimg alt=\"Poster for Free OpenClaw advanced development materials with camera control, file organization, and servo\/status light control examples\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/RDK-X5-MagicBox-Multimodal-Intelligent-Platform-with-8GB-RAM_f806c1ca-c13b-4d26-9278-10b018a71781.jpg?v=1782264949\"\u003e\u003cp\u003eFree OpenClaw advanced development materials cover camera control, file organization, and example programs for servos and status lights.\u003c\/p\u003e\n\u003cimg alt=\"Screenshot of D-Robotics RDK X5 Magibox official user manual page with tutorial link and product overview.\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/RDK-X5-MagicBox-Multimodal-Intelligent-Platform-with-8GB-RAM_6e80900b-9ea9-4c9d-aa67-de5eb4ec771e.jpg?v=1782264954\"\u003e\u003cp\u003eOfficial RDK documentation includes a user manual and tutorial link for getting started with the Magibox platform.\u003c\/p\u003e\n\u003cimg alt=\"Screenshot of the D-Robot Robot Developer Community Forum homepage with tutorial link and category tiles\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/RDK-X5-MagicBox-Multimodal-Intelligent-Platform-with-8GB-RAM_3712307a-8e8c-4143-b205-a4e2b78e66f8.jpg?v=1782264960\"\u003e\u003cp\u003eThe D-Robot Robot Developer Community Forum organizes tutorials and resources by categories like Community News, Projects \u0026amp; Cases, and Learning \u0026amp; Curriculum.\u003c\/p\u003e\n\u003cimg alt=\"Screenshot of D-Robotics NodeHub open source robot application center webpage with Quick Start and project sections\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/RDK-X5-MagicBox-Multimodal-Intelligent-Platform-with-8GB-RAM_1216937c-3fb4-4517-884c-392c2f2c39a2.jpg?v=1782264967\"\u003e\u003cp\u003eD-Robotics NodeHub provides a Quick Start entry point along with sections for Robot, Indoor Service Robots, and Robotic Arm solutions.\u003c\/p\u003e\n\u003cimg alt=\"D-Robot interface panel diagram with power, HDMI, USB, Ethernet, 3.5mm jack, speaker out and status lights\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/RDK-X5-MagicBox-Multimodal-Intelligent-Platform-with-8GB-RAM_e1b344b4-8005-4e54-9e19-8e852abe0d31.jpg?v=1782264972\"\u003e\u003cp\u003eThe D-Robot interface includes power, HDMI, USB and Ethernet connections, plus a 3.5 mm audio jack, speaker output, status lights, and built-in depth camera and microphone.\u003c\/p\u003e\n\u003cimg alt=\"D-Robot product dimension drawing in mm with port layout and overall size measurements (147 mm length, 112 mm height).\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/RDK-X5-MagicBox-Multimodal-Intelligent-Platform-with-8GB-RAM_8d6046a4-b640-43b1-9d99-6ba8adc3a6af.jpg?v=1782264978\"\u003e\u003cp\u003eD-Robot dimensions and connector placement are provided in millimeters to help plan fitment and cable routing in your build.\u003c\/p\u003e\n\u003cimg alt=\"D-Robot RDK X5 8GB specifications listing CPU, 8GB LPDDR4, USB 3.0, HDMI up to 1080p@60, and Gigabit Ethernet\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/RDK-X5-MagicBox-Multimodal-Intelligent-Platform-with-8GB-RAM_8dd0b540-5aa6-4d7c-b578-a1eac038a59f.jpg?v=1782264984\"\u003e\u003cp\u003eD-Robot RDK X5 8GB specs include an 8-core 1.5GHz Arm Cortex‑A55 CPU, 8GB LPDDR4 memory, USB 3.0\/USB‑C, HDMI up to 1080p@60, and Gigabit Ethernet.\u003c\/p\u003e\n\u003cimg alt=\"D-Robot device packed in a black zippered storage case with mesh pocket and included USB cable\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/RDK-X5-MagicBox-Multimodal-Intelligent-Platform-with-8GB-RAM_c3e82bf0-d70d-40b0-a0d6-6c24a4d7e9db.jpg?v=1782264991\"\u003e\u003cp\u003eAn official zippered storage bag is included to keep the device and cable organized for transport.\u003c\/p\u003e\n\u003cimg alt=\"D-Robot compact black control box with metal mounting brackets and two blue USB ports on the front panel\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/RDK-X5-MagicBox-Multimodal-Intelligent-Platform-with-8GB-RAM_05c8c059-4f08-4b13-b72a-b184a1482001.jpg?v=1782264996\"\u003e\u003cp\u003eThe D-Robot unit comes in a compact, vented metal enclosure with mounting brackets and a front panel with dual USB ports for easy peripheral hookups.\u003c\/p\u003e\n\u003cimg alt=\"D-Robot RDKone device with carrying case alongside safety instructions for setup, SD card, and device handling.\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/RDK-X5-MagicBox-Multimodal-Intelligent-Platform-with-8GB-RAM_25ba8de5-6aba-4fdb-a52b-87a5b54976d7.jpg?v=1782265003\"\u003e\u003cp\u003eD-Robot RDKone comes with a compact device and zippered carrying case, with safety instructions covering SD card installation and proper handling.\u003c\/p\u003e\n\u003c\/div\u003e","brand":"Yahboom","offers":[{"title":"Default Title","offer_id":53136550396128,"sku":"6000101375-1","price":555.8,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0643\/3210\/3904\/files\/RDKX5Magicbox_1.jpg?v=1782130121"},{"product_id":"yahboom-roboduino-v2-robot","title":"Yahboom Roboduino V2 AI Vision Robot Car Kit w\/ ESP32 WiFi Camera PTZ, 60mm Mecanum Wheels for UNO R3","description":"\u003ch2\u003eOverview\u003c\/h2\u003e\u003cp\u003eRoboduino V2 is a multifunctional \u003cstrong\u003erobot car kit\u003c\/strong\u003e based on Yahboom UNO R3, featuring an all-metal body, 60mm Mecanum wheels, and a 4-channel independent motor drive system for 360° omnidirectional movement. It includes an ESP32 WiFi camera module for mobile APP real-time video transmission and control, plus modules for line tracking, obstacle avoidance, infrared remote control, RGB lighting effects, and more. Programming is supported via the official IDE using C language.\u003c\/p\u003e\u003cp\u003e\u003ciframe height=\"420\" src=\"https:\/\/www.youtube.com\/embed\/CH_ijB-Zlvs\" title=\"Roboduino V2 AI Vision Car with ESP32 WiFi camera for Arduino UNO\" width=\"600\"\u003e\u003c\/iframe\u003e\u003c\/p\u003e\u003ch2\u003eKey Features\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003eMecanum wheel omnidirectional motion\u003c\/strong\u003e: 60mm Mecanum wheels support 360° full-range movement (straight, lateral, diagonal, and rotation in place).\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eWiFi camera PTZ + mobile APP control\u003c\/strong\u003e: WiFi camera module provides its own hotspot; the APP supports car motion control, real-time video capture, and camera PTZ control.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eWiFi image transmission distance\u003c\/strong\u003e: support distance ≤20m.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eAI visual functions (ESP32 camera)\u003c\/strong\u003e: built-in color threshold segmentation algorithm and lightweight convolutional neural network; supports color recognition, color following, face detection\/following, person recognition, cat(dog) detection, QR code recognition, and QR code command.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eRecognition result output\u003c\/strong\u003e: results can be sent to the main controller through the serial port; the controller can provide sound\/light prompts and drive decisions; results can also be observed in the APP.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eUltrasonic and tracking functions\u003c\/strong\u003e: ultrasonic avoiding\/following, 3-channel tracking, line tracking, obstacle avoidance.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eInfrared remote control\u003c\/strong\u003e: infrared receiver for infrared remote control operation.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eExpansion support\u003c\/strong\u003e: onboard IIC interface (5V\/SCL\/SDA\/GND pinout) for extended modules (e.g., extended color recognition, digital tube display); also supports expand sensor (World of Module Kit).\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eOfficial IDE programming\u003c\/strong\u003e: compatible with UNO board; supports C language programming.\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch2\u003eSpecifications\u003c\/h2\u003e\u003ctable\u003e\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003eProcessor\u003c\/td\u003e\n\u003ctd\u003eYahboom UNO R3\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eProgramming software\u003c\/td\u003e\n\u003ctd\u003eC language\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eWheels\u003c\/td\u003e\n\u003ctd\u003eMecanum wheel (60mm)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eDrive\u003c\/td\u003e\n\u003ctd\u003e4-channel motor (independent drive)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eMotor solution\u003c\/td\u003e\n\u003ctd\u003eTT reduction motor\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eMotor speed\u003c\/td\u003e\n\u003ctd\u003e245±10%rpm\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eMotor torque\u003c\/td\u003e\n\u003ctd\u003e0.8N.m\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eCamera pan\/tilt rotation\u003c\/td\u003e\n\u003ctd\u003eHorizontal rotation range 110°\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eWiFi camera PTZ (horizontal)\u003c\/td\u003e\n\u003ctd\u003e35°~145° horizontal rotation\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eWiFi image transmission\u003c\/td\u003e\n\u003ctd\u003eSerial communication\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eRemote control distance\u003c\/td\u003e\n\u003ctd\u003e≤20m\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eInput\u003c\/td\u003e\n\u003ctd\u003e3-channel tracking module\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eOutput\u003c\/td\u003e\n\u003ctd\u003e4-channel motor, buzzer, servo, onboard RGB light, WiFi camera\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eServo solution\u003c\/td\u003e\n\u003ctd\u003eYB-SG90 high-quality servo\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eBody material\u003c\/td\u003e\n\u003ctd\u003eMetal\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eProtection solution\u003c\/td\u003e\n\u003ctd\u003eReverse connection protection, overcurrent protection, low voltage protection\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003ePower supply\u003c\/td\u003e\n\u003ctd\u003e7.4V lithium battery pack (2000mAh)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eBattery life\u003c\/td\u003e\n\u003ctd\u003eAbout 2 hours\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eDimensions\u003c\/td\u003e\n\u003ctd\u003e192.5*165.83*117.77mm\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eWeight\u003c\/td\u003e\n\u003ctd\u003eAbout 744g (after assembly)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eUnit\u003c\/td\u003e\n\u003ctd\u003emm\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\u003c\/table\u003e\u003ch2\u003eWhat's Included\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003eRoboduino V2 Car Body\u003c\/li\u003e\n\u003cli\u003eWiFi Camera Module\u003c\/li\u003e\n\u003cli\u003eMain control board\u003c\/li\u003e\n\u003cli\u003e7.4V Battery\u003c\/li\u003e\n\u003cli\u003eMain control platform (metal)\u003c\/li\u003e\n\u003cli\u003eExpanding board\u003c\/li\u003e\n\u003cli\u003e3-channel tracking module\u003c\/li\u003e\n\u003cli\u003eVelcro\u003c\/li\u003e\n\u003cli\u003eXH2.54 5Pin cable\u003c\/li\u003e\n\u003cli\u003eSquare USB data cable\u003c\/li\u003e\n\u003cli\u003eBattery cover (acrylic)\u003c\/li\u003e\n\u003cli\u003eCopper column\/screw package\u003c\/li\u003e\n\u003cli\u003ePower charger\u003c\/li\u003e\n\u003cli\u003eScrewdriver\u003c\/li\u003e\n\u003cli\u003eManual\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003e\u003cstrong\u003eNote:\u003c\/strong\u003e Since the WiFi camera module will occupy the serial port of the development board when in use, unplug the WiFi camera module when downloading the codes.\u003c\/p\u003e\u003cp\u003eFor pre-sales or after-sales assistance, contact support via \u003ca href=\"https:\/\/rcdrone.top\/\" rel=\"noopener\" target=\"_blank\"\u003ehttps:\/\/rcdrone.top\/\u003c\/a\u003e or email \u003ca href=\"mailto:support@rcdrone.top\"\u003esupport@rcdrone.top\u003c\/a\u003e.\u003c\/p\u003e\u003ch2\u003eApplications\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003eSTEAM programming education\u003c\/li\u003e\n\u003cli\u003eLearning projects: omnidirectional motion control, line tracking, ultrasonic obstacle avoidance\/following\u003c\/li\u003e\n\u003cli\u003eAI vision demos: color recognition\/following, face detection\/following, person recognition, cat(dog) detection, QR code recognition, QR code command\u003c\/li\u003e\n\u003cli\u003eMobile APP WiFi camera control and real-time video viewing\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch2\u003eManuals\u003c\/h2\u003e\u003cp\u003eTutorial link: \u003ca href=\"http:\/\/www.yahboom.net\/study\/Roboduino-V2\" rel=\"noopener\" target=\"_blank\"\u003ehttp:\/\/www.yahboom.net\/study\/Roboduino-V2\u003c\/a\u003e\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eCourse materials categories\u003c\/strong\u003e: Instruction manual; Get started quickly; Environment construction; Basic course; Advanced course; Car motion control; Car comprehensive courses; AI vision course; Expand peripherals; Software Resources; Hardware Resources; 3D Model; Car tracking; Car Obstacle Avoid; Car Follow Hand; Car tracking Avoid; Car Infrared Remote; WiFi Control Car; IR WiFi Control Car.\u003c\/p\u003e\u003ch2 id=\"details\"\u003eDetails\u003c\/h2\u003e\u003cdiv class=\"details-gallery\"\u003e\n\u003cimg alt=\"Yahboom Roboduino V2 AI Vision Robot car with ESP32 WiFi camera and mecanum wheels\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Roboduino-V2-AI-Vision-Car-with-ESP32-WiFi-camera-for.jpg?v=1782263145\"\u003e\u003cp\u003eThe Yahboom Roboduino V2 combines a metal robot car chassis, mecanum wheels, and an ESP32 WiFi camera for vision-based robotics projects.\u003c\/p\u003e\n\u003cimg alt=\"Roboduino V2 smart robot car kit with product box, ESP32 camera module, and omnidirectional wheels\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Roboduino-V2-AI-Vision-Car-with-ESP32-WiFi-camera-for_5d62dc87-b35f-4a45-89b3-c89d46bc4b74.jpg?v=1782263151\"\u003e\u003cimg alt=\"ESP32 WiFi camera pan-tilt control with mobile app live video and remote driving (up to 20 m)\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Roboduino-V2-AI-Vision-Car-with-ESP32-WiFi-camera-for_694bcc78-2232-44c1-928a-8eadc92bff5e.jpg?v=1782263158\"\u003e\u003cp\u003eUse the mobile app for real-time FPV video, car movement control, and camera pan\/tilt rotation over WiFi.\u003c\/p\u003e\n\u003cimg alt=\"AI visual functions demo: color recognition\/following, QR code commands, and person\/face detection on ESP32 cam\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Roboduino-V2-AI-Vision-Car-with-ESP32-WiFi-camera-for_4643ea63-f2c3-43a3-9000-7935195f6af5.jpg?v=1782263164\"\u003e\u003cimg alt=\"Top view of mecanum wheel chassis illustrating 360° omnidirectional movement directions\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Roboduino-V2-AI-Vision-Car-with-ESP32-WiFi-camera-for_6042b185-71ce-4584-88ad-9117c173e9bd.jpg?v=1782263170\"\u003e\u003cp\u003e60mm mecanum wheels enable full-range motion—straight, sideways, diagonal, and rotation in place.\u003c\/p\u003e\n\u003cimg alt=\"Mecanum wheel movement diagram showing straight, lateral, diagonal, and rotation drive patterns\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Roboduino-V2-AI-Vision-Car-with-ESP32-WiFi-camera-for_1897121c-b9c6-4056-a35f-0ccab60fc827.jpg?v=1782263175\"\u003e\u003cimg alt=\"Programming the UNO-compatible controller in the official IDE with C language on a laptop\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Roboduino-V2-AI-Vision-Car-with-ESP32-WiFi-camera-for_0388fd6b-4749-4a6e-8221-b6db02e677f9.jpg?v=1782263182\"\u003e\u003cp\u003eProgram the UNO R3-compatible controller in C using the official IDE, suitable for learning and classroom use.\u003c\/p\u003e\n\u003cimg alt=\"Feature collage showing line tracking, ultrasonic follow\/avoid, infrared remote control, RGB lights, and buzzer\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Roboduino-V2-AI-Vision-Car-with-ESP32-WiFi-camera-for_2bda2c68-e55d-4eec-8560-3010f65fe7ee.jpg?v=1782263188\"\u003e\u003cp\u003eBuilt-in modules support line tracking, ultrasonic obstacle avoidance\/following, infrared control, RGB lighting, and buzzer effects.\u003c\/p\u003e\n\u003cimg alt=\"Onboard IIC interface pinout (5V, SCL, SDA, GND) for adding color recognition or digital tube display modules\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Roboduino-V2-AI-Vision-Car-with-ESP32-WiFi-camera-for_67419ee6-3270-48df-8615-7d7b7ac4ea41.jpg?v=1782263194\"\u003e\u003cimg alt=\"Exploded view of robot car structure with metal body, main\/expansion boards, camera, motors, wheels, and sensors\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Roboduino-V2-AI-Vision-Car-with-ESP32-WiFi-camera-for_4b0c714c-e8b1-4bac-a95d-069043bd6a83.jpg?v=1782263200\"\u003e\u003cp\u003eA layered metal-body design integrates the main control board, expansion board, camera, tracking module, and ultrasonic sensor.\u003c\/p\u003e\n\u003cimg alt=\"Expansion board close-up with labeled ports for power, motor drive, servo, buzzer, RGB, IIC, and sensor interfaces\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Roboduino-V2-AI-Vision-Car-with-ESP32-WiFi-camera-for_c7b5b466-238b-4c23-8159-a08385aecf24.jpg?v=1782263206\"\u003e\u003cimg alt=\"Course materials overview with tutorial folders for setup, motion control, vision, and WiFi control lessons\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Roboduino-V2-AI-Vision-Car-with-ESP32-WiFi-camera-for_28910aed-e3f6-41c9-a27a-d23057160d5a.jpg?v=1782263212\"\u003e\u003cimg alt=\"Roboduino V2 size parameters diagram with dimensions and key specifications table\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Roboduino-V2-AI-Vision-Car-with-ESP32-WiFi-camera-for_f31d592c-9931-4e2c-9490-d332faf34c5c.jpg?v=1782263218\"\u003e\u003cimg alt=\"Shipping list showing included robot car body, ESP32 WiFi camera, boards, battery, tools, cables, and modules\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Roboduino-V2-AI-Vision-Car-with-ESP32-WiFi-camera-for_aa50086c-7201-4e18-be89-88c0db43189c.jpg?v=1782263224\"\u003e\u003cp\u003eEverything needed to assemble and start experimenting is included—camera module, control boards, battery, cables, tools, and sensors.\u003c\/p\u003e\n\u003c\/div\u003e","brand":"Yahboom","offers":[{"title":"Default Title","offer_id":53136619340000,"sku":"6000200635-1","price":137.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0643\/3210\/3904\/files\/2_1a85e389-2cef-4611-ac76-f5802d81545d.jpg?v=1782130589"},{"product_id":"yahboom-stm32-self-balancing-robot","title":"Yahboom STM32 Self-balancing Robot Car Kit, 4KG Load, STM32F103RCT6, 6-Axis IMU, OLED, BT 5.0","description":"\u003ch2\u003eOverview\u003c\/h2\u003e\u003cp\u003eThe STM32 self-balancing robot car is a robot car learning and experimentation platform based on the STM32 microcontroller for robotics and control systems exploration. It integrates an STM32F103RCT6 main control, a 6-axis IMU attitude sensor (accelerometer + gyroscope), high-power reduction motors, and a metal chassis, enabling real-time tilt sensing and balance stabilization using PID control. The platform supports a maximum load of 4KG and provides an OLED display plus a mobile APP for debugging and control (only supports Android, not iOS). Multiple expansion styles are supported to combine with various sensors.\u003c\/p\u003e\u003ch2\u003eKey Features\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003eEquipped with STM32F103RCT6 chip\u003c\/li\u003e\n\u003cli\u003eAB phase speed encoder\u003c\/li\u003e\n\u003cli\u003eHigh power DC motor\u003c\/li\u003e\n\u003cli\u003eWith battery protection box\u003c\/li\u003e\n\u003cli\u003eAdjust parameters on APP\u003c\/li\u003e\n\u003cli\u003ePID and LQR control\u003c\/li\u003e\n\u003cli\u003e6-axis IMU attitude sensing\u003c\/li\u003e\n\u003cli\u003eLow voltage warning\u003c\/li\u003e\n\u003cli\u003eBalance car mathematical model\u003c\/li\u003e\n\u003cli\u003eUltrasonic avoiding\/following functions (via ultrasonic module)\u003c\/li\u003e\n\u003cli\u003eOLED data display (supports displaying current mode and voltage)\u003c\/li\u003e\n\u003cli\u003ePosture recognition (6-axis IMU can start balance when placed on ground; can shut down balance when lifted vertically in an upright state)\u003c\/li\u003e\n\u003cli\u003eClimbing capability: slopes of about 30°\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch3\u003eOptional expansion functions (depending on kit\/modules)\u003c\/h3\u003e\u003cul\u003e\n\u003cli\u003eLidar walking along the wall (Optional)\u003c\/li\u003e\n\u003cli\u003eLidar avoiding\/following (Optional)\u003c\/li\u003e\n\u003cli\u003eLidar guard (Optional)\u003c\/li\u003e\n\u003cli\u003eK210 QR code control (Optional)\u003c\/li\u003e\n\u003cli\u003eK210 color line patrol (Optional)\u003c\/li\u003e\n\u003cli\u003eK210 color following (Optional)\u003c\/li\u003e\n\u003cli\u003eK210 self-learning (Optional)\u003c\/li\u003e\n\u003cli\u003eK210 number recognition (Optional)\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch2\u003eSpecifications\u003c\/h2\u003e\u003ch3\u003eMain controller (MCU)\u003c\/h3\u003e\u003ctable border=\"1\" cellpadding=\"6\" cellspacing=\"0\"\u003e\n\u003ctr\u003e\n\u003ctd\u003eModel\u003c\/td\u003e\n\u003ctd\u003eSTM32F103RCT6\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eCore\u003c\/td\u003e\n\u003ctd\u003eCortex M3 R1P1\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eInternal Flash\u003c\/td\u003e\n\u003ctd\u003e256KB\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eSRAM\u003c\/td\u003e\n\u003ctd\u003e48KB\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eGPIO number\u003c\/td\u003e\n\u003ctd\u003e51\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eTimer\u003c\/td\u003e\n\u003ctd\u003e8\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003ePin package\u003c\/td\u003e\n\u003ctd\u003eLQFP64\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eInterface resources\u003c\/td\u003e\n\u003ctd\u003e2 x SPI, 3 x USART, 2 x I2C, 2 x I2S, 1 x CAN, 51 x I\/O, 2 x DAC\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eVoltage range\u003c\/td\u003e\n\u003ctd\u003eExternal voltage: 2.0~3.6V; Core voltage: 1.8V\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eCompilation tool\u003c\/td\u003e\n\u003ctd\u003eKEIL MDK, STM32CubeMX\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/table\u003e\u003cp\u003eSTM32F103RCT6 is described as a high-performance 32-bit MCU with up to 256KB Flash and 48KB SRAM, providing 51 programmable input\/output pins for complex applications such as robot control systems and self-balancing robot car control systems.\u003c\/p\u003e\u003ch3\u003eChassis\u003c\/h3\u003e\u003ctable border=\"1\" cellpadding=\"6\" cellspacing=\"0\"\u003e\n\u003ctr\u003e\n\u003ctd\u003eMetal plate thickness\u003c\/td\u003e\n\u003ctd\u003e2mm\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eSurface\u003c\/td\u003e\n\u003ctd\u003ePainted and frosted surface\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eDrive\u003c\/td\u003e\n\u003ctd\u003eHigh-power reduction motor with AB phase encoder\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/table\u003e\u003ch3\u003eMotor parameters\u003c\/h3\u003e\u003ctable border=\"1\" cellpadding=\"6\" cellspacing=\"0\"\u003e\n\u003ctr\u003e\n\u003ctd\u003eMotor model\u003c\/td\u003e\n\u003ctd\u003eMD520Z30_12V\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eMotor rated voltage\u003c\/td\u003e\n\u003ctd\u003e12V\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eMotor type\u003c\/td\u003e\n\u003ctd\u003ePermanent magnet brush\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eOutput shaft\u003c\/td\u003e\n\u003ctd\u003eD-type eccentric shaft with 6mm diameter\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eRated power\u003c\/td\u003e\n\u003ctd\u003e\u0026lt;=4W\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eRated current\u003c\/td\u003e\n\u003ctd\u003e0.3A\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eGear set reduction ratio\u003c\/td\u003e\n\u003ctd\u003e1:30\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eSpeed before deceleration\u003c\/td\u003e\n\u003ctd\u003e11000rpm\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eSpeed after deceleration\u003c\/td\u003e\n\u003ctd\u003e333±10rpm\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eStall torque\u003c\/td\u003e\n\u003ctd\u003e4.8kg·cm\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eRated torque\u003c\/td\u003e\n\u003ctd\u003e3.3kg·cm\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eStall current\u003c\/td\u003e\n\u003ctd\u003e3A\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eInterface type\u003c\/td\u003e\n\u003ctd\u003ePH2.0 6Pin\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eSingle motor weight\u003c\/td\u003e\n\u003ctd\u003e150g±1g\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eFunction\u003c\/td\u003e\n\u003ctd\u003eBuilt-in pull-up shaping, the microcontroller can directly read the signal pulse\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/table\u003e\u003ch3\u003eEncoder parameters\u003c\/h3\u003e\u003ctable border=\"1\" cellpadding=\"6\" cellspacing=\"0\"\u003e\n\u003ctr\u003e\n\u003ctd\u003eEncoder type\u003c\/td\u003e\n\u003ctd\u003eAB phase incremental Hall encoder\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eEncoder line number\u003c\/td\u003e\n\u003ctd\u003e11ppr\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eType\u003c\/td\u003e\n\u003ctd\u003eMagnetic induction\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003ePower supply range\u003c\/td\u003e\n\u003ctd\u003e3.3V~5V\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eEncoder protection\u003c\/td\u003e\n\u003ctd\u003eExposed (magnetic encoder is more stable and does not require a back cover)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eSuitable MCU\u003c\/td\u003e\n\u003ctd\u003eAlmost all microcontrollers\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/table\u003e\u003ch3\u003eLoad capacity\u003c\/h3\u003e\u003ctable border=\"1\" cellpadding=\"6\" cellspacing=\"0\"\u003e\u003ctr\u003e\n\u003ctd\u003eMaximum load\u003c\/td\u003e\n\u003ctd\u003e4KG\u003c\/td\u003e\n\u003c\/tr\u003e\u003c\/table\u003e\u003ch3\u003eControl \u0026amp; posture algorithms (as provided)\u003c\/h3\u003e\u003cul\u003e\n\u003cli\u003eControl algorithm: PID\/LQR\u003c\/li\u003e\n\u003cli\u003ePosture algorithm: Kalman filter \/ complementary filter \/ DMP\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch3\u003eEncoder motor wiring (PH2.0 6Pin)\u003c\/h3\u003e\u003ctable border=\"1\" cellpadding=\"6\" cellspacing=\"0\"\u003e\n\u003ctr\u003e\n\u003ctd\u003e1\u003c\/td\u003e\n\u003ctd\u003eMotor power supply line +\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e2\u003c\/td\u003e\n\u003ctd\u003eMotor power supply line -\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e3\u003c\/td\u003e\n\u003ctd\u003eSensor signal-negative\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e4\u003c\/td\u003e\n\u003ctd\u003eSensor signal-positive 3.3V\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e5\u003c\/td\u003e\n\u003ctd\u003eSensor signal line-B phase\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e6\u003c\/td\u003e\n\u003ctd\u003eSensor signal line-A phase\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/table\u003e\u003ch2\u003eAPP Control (Android only)\u003c\/h2\u003e\u003cp\u003eThe APP control program has been written before shipped. It contains up to 20 functions and gameplays. No need to download the program; it can be used right away. Turn the wheels gently to switch the robot car to different function modes.\u003c\/p\u003e\u003ch3\u003eMain control interface (labels)\u003c\/h3\u003e\u003col\u003e\n\u003cli\u003eBluetooth switch\u003c\/li\u003e\n\u003cli\u003eGravity display\u003c\/li\u003e\n\u003cli\u003eMotor speed display\u003c\/li\u003e\n\u003cli\u003eUltrasonic distance display\u003c\/li\u003e\n\u003cli\u003eMain control interface button\u003c\/li\u003e\n\u003cli\u003eBattery voltage display\u003c\/li\u003e\n\u003cli\u003eRotate right\u003c\/li\u003e\n\u003cli\u003eRotate left\u003c\/li\u003e\n\u003cli\u003eLeft-right motor speed display\u003c\/li\u003e\n\u003cli\u003eThree control method: button, gravity, rocker\u003c\/li\u003e\n\u003c\/ol\u003e\u003cul\u003e\n\u003cli\u003eButton control: Press up, down, left, and right to activate, release to stop.\u003c\/li\u003e\n\u003cli\u003eGravity sensor: Control robot car to move forward, backward, left, and right according to the phone's posture.\u003c\/li\u003e\n\u003cli\u003eRocker control: Push the circle in the middle to different directions to control robot car movement.\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch3\u003ePID debugging interface (labels)\u003c\/h3\u003e\u003col\u003e\n\u003cli\u003eBalance loop parameter D\u003c\/li\u003e\n\u003cli\u003eBalance loop parameter P\u003c\/li\u003e\n\u003cli\u003eSpeed loop parameter I\u003c\/li\u003e\n\u003cli\u003eSpeed loop parameter P\u003c\/li\u003e\n\u003cli\u003eSteering loop parameter D\u003c\/li\u003e\n\u003cli\u003eSteering loop parameter P\u003c\/li\u003e\n\u003cli\u003ePID debugging interface button\u003c\/li\u003e\n\u003cli\u003eRestore default\u003c\/li\u003e\n\u003cli\u003eUpdate steering loop PID\u003c\/li\u003e\n\u003cli\u003eUpdate speed loop PID\u003c\/li\u003e\n\u003cli\u003eUpdate balance loop PID\u003c\/li\u003e\n\u003cli\u003eQuery PID\u003c\/li\u003e\n\u003c\/ol\u003e\u003cp\u003eThe PID debugging function can update the car PID data and display it on the APP interface, and can also adjust the PID parameters and restore the default parameters with one click.\u003c\/p\u003e\u003ch3\u003eWaveform display interface\u003c\/h3\u003e\u003cp\u003eSupports simultaneous display of multi-channel waveforms. Waveform details can be zoomed in and out, and the motion status of the robot car can be observed on a mobile phone.\u003c\/p\u003e\u003ch3\u003eFunction modes list (as provided)\u003c\/h3\u003e\u003ctable border=\"1\" cellpadding=\"6\" cellspacing=\"0\"\u003e\n\u003ctr\u003e\n\u003cth\u003eSerial number\u003c\/th\u003e\n\u003cth\u003eFunction mode\u003c\/th\u003e\n\u003cth\u003eDescription\u003c\/th\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e1\u003c\/td\u003e\n\u003ctd\u003eStandard Mode\u003c\/td\u003e\n\u003ctd\u003eStandard mode: APP control\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e2\u003c\/td\u003e\n\u003ctd\u003eUT Follow\u003c\/td\u003e\n\u003ctd\u003eUltrasonic following mode\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e3\u003c\/td\u003e\n\u003ctd\u003eUT Avoid\u003c\/td\u003e\n\u003ctd\u003eUltrasonic obstacle avoidance mode\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e4\u003c\/td\u003e\n\u003ctd\u003eLoad Movement\u003c\/td\u003e\n\u003ctd\u003eLoad mode: APP control\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e5\u003c\/td\u003e\n\u003ctd\u003eHandle Control\u003c\/td\u003e\n\u003ctd\u003ePS2 Wireless handle control mode\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e6\u003c\/td\u003e\n\u003ctd\u003eIR Track\u003c\/td\u003e\n\u003ctd\u003e4-channel infrared line tracking mode\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e7\u003c\/td\u003e\n\u003ctd\u003eAdv IR Track\u003c\/td\u003e\n\u003ctd\u003eAdvanced 4-channel infrared line tracking mode\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e8\u003c\/td\u003e\n\u003ctd\u003eK210 QR Rec\u003c\/td\u003e\n\u003ctd\u003eK210 QR code recognition mode\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e9\u003c\/td\u003e\n\u003ctd\u003eK210 Track\u003c\/td\u003e\n\u003ctd\u003eK210 line tracking mode\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e10\u003c\/td\u003e\n\u003ctd\u003eK210 Follow\u003c\/td\u003e\n\u003ctd\u003eK210 following mode\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e11\u003c\/td\u003e\n\u003ctd\u003eK210 Self Learn\u003c\/td\u003e\n\u003ctd\u003eK210 self-learning mode\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e12\u003c\/td\u003e\n\u003ctd\u003eK210 Num Rec\u003c\/td\u003e\n\u003ctd\u003eK210 number recognition mode\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e13\u003c\/td\u003e\n\u003ctd\u003eLiDAR Avoid\u003c\/td\u003e\n\u003ctd\u003eLiDAR obstacle avoidance mode\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e14\u003c\/td\u003e\n\u003ctd\u003eLiDAR Follow\u003c\/td\u003e\n\u003ctd\u003eLiDAR following mode\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e15\u003c\/td\u003e\n\u003ctd\u003eLiDAR Guard\u003c\/td\u003e\n\u003ctd\u003eLiDAR guard mode\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e16\u003c\/td\u003e\n\u003ctd\u003eLiDAR Patrol\u003c\/td\u003e\n\u003ctd\u003eLiDAR patrol mode\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e17\u003c\/td\u003e\n\u003ctd\u003eLiDAR StrLine1\u003c\/td\u003e\n\u003ctd\u003eLiDAR straight line-1 mode\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e18\u003c\/td\u003e\n\u003ctd\u003eLiDAR StrLine2\u003c\/td\u003e\n\u003ctd\u003eLiDAR straight line-2 mode\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/table\u003e\u003ch2\u003eWhat's Included\u003c\/h2\u003e\u003cp\u003eVarious kits are available. The following kit contents are provided as stated.\u003c\/p\u003e\u003ch3\u003eStandard Kit\u003c\/h3\u003e\u003cul\u003e\n\u003cli\u003eSTM32 self-balancing robot car\u003c\/li\u003e\n\u003cli\u003eUltrasonic module\u003c\/li\u003e\n\u003cli\u003eOLED display\u003c\/li\u003e\n\u003cli\u003eBT 5.0 module\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003eStandard Kit functions description: PID parameter adjustment, posture recognition, load balancing, climbing, mobile phone APP remote control, ultrasonic obstacle avoidance and following functions.\u003c\/p\u003e\u003ch3\u003eLine Tracking Kit\u003c\/h3\u003e\u003cul\u003e\n\u003cli\u003eStandard Kit\u003c\/li\u003e\n\u003cli\u003e4-channel tracking module\u003c\/li\u003e\n\u003cli\u003eWire + screw package\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003eLine Tracking Kit notes: Suitable for black line tracking with a width of 1.6~2CM, and supports high-difficulty line tracking such as right-angle turns and intersections.\u003c\/p\u003e\u003ch3\u003eHandle Control Kit\u003c\/h3\u003e\u003cul\u003e\n\u003cli\u003eStandard Kit\u003c\/li\u003e\n\u003cli\u003ePS2 handle\u003c\/li\u003e\n\u003cli\u003eAAA battery\u003c\/li\u003e\n\u003cli\u003ePS2 adapter board\u003c\/li\u003e\n\u003cli\u003ePS2 handle receiver\u003c\/li\u003e\n\u003cli\u003eWire + screw package\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003eHandle Control Kit notes: Can realize 2.4G wireless handle remote control.\u003c\/p\u003e\u003ch3\u003eK210 Vision Kit\u003c\/h3\u003e\u003cul\u003e\n\u003cli\u003eStandard Kit\u003c\/li\u003e\n\u003cli\u003eK210 vision module\u003c\/li\u003e\n\u003cli\u003eHinge mounting plate\u003c\/li\u003e\n\u003cli\u003eDamping hinge plate\u003c\/li\u003e\n\u003cli\u003eK210 adapter\u003c\/li\u003e\n\u003cli\u003eScrew package\u003c\/li\u003e\n\u003cli\u003eTF card\u003c\/li\u003e\n\u003cli\u003eCard reader\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003eK210 Vision Kit notes: Can realize visual recognition and interactive functions such as visual following, visual line tracking, QR code control and other functions.\u003c\/p\u003e\u003ch3\u003eLidar Kit\u003c\/h3\u003e\u003cul\u003e\n\u003cli\u003eStandard Kit\u003c\/li\u003e\n\u003cli\u003eT-MINI PLUS lidar\u003c\/li\u003e\n\u003cli\u003eWire + screw package\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003eLidar Kit notes: Based on lidar ranging functions, lidar guarding, obstacle avoidance, following, patrolling and other gameplay can be realized.\u003c\/p\u003e\u003cp\u003eFor help choosing the right kit and accessories, contact support@rcdrone.top or visit https:\/\/rcdrone.top\/.\u003c\/p\u003e\u003ch2\u003eApplications\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003eRobotics education and classroom demonstrations\u003c\/li\u003e\n\u003cli\u003eControl algorithm learning (PID \/ LQR) and parameter debugging\u003c\/li\u003e\n\u003cli\u003eSensor expansion experiments (ultrasonic, infrared line tracking, 2.4G wireless handle, K210 vision module, lidar)\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch2\u003eManuals\u003c\/h2\u003e\u003ch3\u003eTutorial link\u003c\/h3\u003e\u003cp\u003e\u003ca href=\"http:\/\/www.yahboom.net\/study\/SBR-STM32\" rel=\"noopener\" target=\"_blank\"\u003eSTM32 Self-balancing Robot Car\u003c\/a\u003e\u003c\/p\u003e\u003ch3\u003eCode analysis video tutorial with English subtitles (as listed)\u003c\/h3\u003e\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003eEnvironment construction and development\u003c\/strong\u003e\u003cul\u003e\n\u003cli\u003e1.1 MDK-ARM installation.mp4\u003c\/li\u003e\n\u003cli\u003e1.2 STM32CubeIDE installation.mp4\u003c\/li\u003e\n\u003cli\u003e1.3 Common driver installation.mp4\u003c\/li\u003e\n\u003cli\u003e1.4 Download the program.mp4\u003c\/li\u003e\n\u003cli\u003e1.5 MDK-ARM project usage.mp4\u003c\/li\u003e\n\u003cli\u003e1.6 Program simulation.mp4\u003c\/li\u003e\n\u003cli\u003e1.7 VSCode install.mp4\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eSTM32 expansion course\u003c\/strong\u003e\u003cul\u003e\n\u003cli\u003e3.1 Battery voltage detection (ADC).mp4\u003c\/li\u003e\n\u003cli\u003e3.2 Ultrasonic module-measuring distance (TIM).mp4\u003c\/li\u003e\n\u003cli\u003e3.3 Motor drive+encoder (TIM).mp4\u003c\/li\u003e\n\u003cli\u003e3.4 OLED Data-Display(I2C).mp4\u003c\/li\u003e\n\u003cli\u003e3.5 MPU6050-Data Read (I2C).mp4\u003c\/li\u003e\n\u003cli\u003e3.6 Bluetooth module-Data reading (USART).mp4\u003c\/li\u003e\n\u003cli\u003e3.7 2.4G handle-control module reading (SPI).mp4\u003c\/li\u003e\n\u003cli\u003e3.8 Tracking module-Read status (GPIO).mp4\u003c\/li\u003e\n\u003cli\u003e3.9 CCD module-Reading data (ADC).mp4\u003c\/li\u003e\n\u003cli\u003e3.10 Electromagnetic module-Reading data (ADC).mp4\u003c\/li\u003e\n\u003cli\u003e3.11 K210 module-Serial communication (USART).mp4\u003c\/li\u003e\n\u003cli\u003e3.12 Tmini-Plus lidar-Reading data (USART).mp4\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eRobot car PID control course\u003c\/strong\u003e\u003cul\u003e\n\u003cli\u003e4.1 PID basic concept.mp4\u003c\/li\u003e\n\u003cli\u003e4.2 PID example analysis.mp4\u003c\/li\u003e\n\u003cli\u003e4.3 P, PI, PD controller theory.mp4\u003c\/li\u003e\n\u003cli\u003e4.4 Position PID.mp4\u003c\/li\u003e\n\u003cli\u003e4.5 Incremental PID.mp4\u003c\/li\u003e\n\u003cli\u003e4.6 Cascade PID.mp4\u003c\/li\u003e\n\u003cli\u003e4.7 Balance principle of car.mp4\u003c\/li\u003e\n\u003cli\u003e4.8 Car upright control (PD).mp4\u003c\/li\u003e\n\u003cli\u003e4.9 Car speed control (PI).mp4\u003c\/li\u003e\n\u003cli\u003e4.10 Car steering control (PD).mp4\u003c\/li\u003e\n\u003cli\u003e4.11 Got angle and angular velocity (DMP algorithm).mp4\u003c\/li\u003e\n\u003cli\u003e4.12 Got angle and angular velocity (Kalman filter algorithm).mp4\u003c\/li\u003e\n\u003cli\u003e4.13 Got angle and angular velocity (Complementary filter ...)\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eRobot car basic course\u003c\/strong\u003e\u003cul\u003e\n\u003cli\u003e5.1 Car parameter adjustment.mp4\u003c\/li\u003e\n\u003cli\u003e5.2 Ultrasonic obstacle avoidance.mp4\u003c\/li\u003e\n\u003cli\u003e5.3 Ultrasonic follow.mp4\u003c\/li\u003e\n\u003cli\u003e5.4 Bluetooth remote control.mp4\u003c\/li\u003e\n\u003cli\u003e5.5 Load balance.mp4\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eRobot car advanced course\u003c\/strong\u003e\u003cul\u003e\n\u003cli\u003e6.1 4-channel tracking.mp4\u003c\/li\u003e\n\u003cli\u003e6.2 4-channel tracking avoid.mp4\u003c\/li\u003e\n\u003cli\u003e6.3 2.4G handle control.mp4\u003c\/li\u003e\n\u003cli\u003e6.4 CCD tracking.mp4\u003c\/li\u003e\n\u003cli\u003e6.5 CCD tracking avoid.mp4\u003c\/li\u003e\n\u003cli\u003e6.6 Electromagnetic tracking.mp4\u003c\/li\u003e\n\u003cli\u003e6.7 K210-QR code recognition.mp4\u003c\/li\u003e\n\u003cli\u003e6.8 K210-Color line tracking.mp4\u003c\/li\u003e\n\u003cli\u003e6.9 K210-Color follow.mp4\u003c\/li\u003e\n\u003cli\u003e6.10 K210-Self learning.mp4\u003c\/li\u003e\n\u003cli\u003e6.11 K210-Number recognition.mp4\u003c\/li\u003e\n\u003cli\u003e6.12 Lidar avoid.mp4\u003c\/li\u003e\n\u003cli\u003e6.13 Lidar guard.mp4\u003c\/li\u003e\n\u003cli\u003e6.14 Lidar follow.mp4\u003c\/li\u003e\n\u003cli\u003e6.15 Lidar patrol.mp4\u003c\/li\u003e\n\u003cli\u003e6.16 Lidar wall tracking-straight line.mp4\u003c\/li\u003e\n\u003cli\u003e6.17 Lidar wall tracking-multiple walls.mp4\u003c\/li\u003e\n\u003cli\u003e6.18 DIY Automatic driving car.mp4\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp style=\"text-align:center;\"\u003e\u003ciframe height=\"420\" src=\"https:\/\/www.youtube.com\/embed\/TbfVpqGTOdE\" title=\"STM32 Self-balancing Robot Car(Load:4KG)\" width=\"600\"\u003e\u003c\/iframe\u003e\u003c\/p\u003e\u003ch2 id=\"details\"\u003eDetails\u003c\/h2\u003e\u003cdiv class=\"details-gallery\"\u003e\n\u003cimg alt=\"Yahboom STM32 Self-balancing Robot car platform with metal chassis, dual wheels, and expansion mounting plate\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/STM32-Self-balancing-Robot-CarLoad4KG.jpg?v=1782244999\"\u003e\u003cp\u003eA compact STM32-based self-balancing robot platform designed for control-system learning, tuning, and sensor expansion.\u003c\/p\u003e\n\u003cimg alt=\"Yahboom STM32 self-balancing robot car with product introduction and feature comparison table\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/STM32-Self-balancing-Robot-CarLoad4KG_f789a5db-cc45-463f-a14a-e3679a54d28f.jpg?v=1782245005\"\u003e\u003cp\u003eAn overview of the platform’s control hardware, sensors, and core balancing features, plus a market comparison for quick selection.\u003c\/p\u003e\n\u003cimg alt=\"English-subtitled course and code resources for STM32 robotics, PID control, and self-balancing projects\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/STM32-Self-balancing-Robot-CarLoad4KG_ce44b339-5a3c-4fd1-90ed-eac3fcb256b3.jpg?v=1782245011\"\u003e\u003cp\u003eStep-by-step learning resources cover environment setup, expansion lessons, PID tuning, and progressive robot courses.\u003c\/p\u003e\n\u003cimg alt=\"Section header banner reading “Various Kits Available” for the STM32 self-balancing robot series\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/STM32-Self-balancing-Robot-CarLoad4KG.webp?v=1782245016\"\u003e\u003cimg alt=\"Standard kit contents with robot car, ultrasonic module, OLED display, and Bluetooth 5.0 module list\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/STM32-Self-balancing-Robot-CarLoad4KG_45b79e10-1b5f-425b-ad99-a967477f29df.jpg?v=1782245021\"\u003e\u003cp\u003eChoose the standard kit for core balancing plus ultrasonic functions and on-device status display.\u003c\/p\u003e\n\u003cimg alt=\"Line tracking kit overview with 4-channel tracking module and included wire and screw package\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/STM32-Self-balancing-Robot-CarLoad4KG_b9703800-53f4-4c2b-926d-4c32d56ad782.jpg?v=1782245027\"\u003e\u003cp\u003eAdd the line-tracking kit to follow black tape routes and handle right-angle turns and intersections.\u003c\/p\u003e\n\u003cimg alt=\"Handle control kit list with PS2 gamepad, adapter board, receiver, batteries, and mounting hardware\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/STM32-Self-balancing-Robot-CarLoad4KG_6c9ab03b-6661-4a03-bde2-76f8ac33feba.jpg?v=1782245033\"\u003e\u003cp\u003eThe handle control kit enables wireless PS2-style remote driving and speed control.\u003c\/p\u003e\n\u003cimg alt=\"K210 vision kit parts including K210 module, TF card, card reader, hinge mount, and adapter plate\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/STM32-Self-balancing-Robot-CarLoad4KG_4255643e-129b-429a-bafc-ebbf57ee87db.jpg?v=1782245038\"\u003e\u003cp\u003eThe K210 vision kit opens up AI-style interactions such as QR control, color tracking, and visual following.\u003c\/p\u003e\n\u003cimg alt=\"Lidar kit option listing T-MINI PLUS lidar sensor with standard robot kit and accessory package\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/STM32-Self-balancing-Robot-CarLoad4KG_a60153e4-7ff3-4923-bdb3-d2755022122c.jpg?v=1782245043\"\u003e\u003cp\u003eUpgrade to lidar for advanced navigation behaviors like following, obstacle avoidance, and guarding modes.\u003c\/p\u003e\n\u003cimg alt=\"Onboard STM32F103RCT6 microcontroller highlight with key specs and interface resources table\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/STM32-Self-balancing-Robot-CarLoad4KG_a1ef947f-8716-4c5a-9777-7c7cb2a15dd3.jpg?v=1782245050\"\u003e\u003cp\u003eBuilt around an STM32F103RCT6 MCU to support real-time balance control and rich peripheral expansion.\u003c\/p\u003e\n\u003cimg alt=\"Metal chassis frame with dual high-power encoder motors, plus motor parameter table for the robot car\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/STM32-Self-balancing-Robot-CarLoad4KG_629fb7c3-0817-4be5-a108-e3f60a23c80d.jpg?v=1782245056\"\u003e\u003cp\u003eA rigid metal chassis and encoder motors provide stable feedback for balance control and speed measurement.\u003c\/p\u003e\n\u003cimg alt=\"Motor feature callouts (carbon brush, metal gearbox, D-shaft, copper coil rotor) with wiring instructions\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/STM32-Self-balancing-Robot-CarLoad4KG_3a8c0c25-f3d9-40d6-88a6-cc48e0c70151.jpg?v=1782245062\"\u003e\u003cp\u003eMotor construction details and wiring guidance help with assembly, troubleshooting, and control experiments.\u003c\/p\u003e\n\u003cimg alt=\"Mobile app control program overview with mode list and function table for the self-balancing robot car\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/STM32-Self-balancing-Robot-CarLoad4KG_ba3f2f25-8f3f-4220-9d14-b410e4abe7b7.jpg?v=1782245068\"\u003e\u003cp\u003eAn Android app supports parameter adjustment and switching among multiple motion and sensor modes.\u003c\/p\u003e\n\u003cimg alt=\"Professional app interface screens for main control, PID debugging, and waveform display views\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/STM32-Self-balancing-Robot-CarLoad4KG_6660a7a2-c39b-4c7f-b084-c1097af80330.jpg?v=1782245075\"\u003e\u003cp\u003eControl, PID tuning, and waveform visualization are organized into dedicated app screens for faster debugging.\u003c\/p\u003e\n\u003cimg alt=\"Yahboom STM32 Self-balancing Robot basic functions collage: posture recognition, 4 kg load, climbing, OLED\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/STM32-Self-balancing-Robot-CarLoad4KG_8425861d-45f9-45f4-b44f-219580691327.jpg?v=1782245081\"\u003e\u003cp\u003eCore functions include posture recognition, up to 4 kg load capacity, climbing ability, ultrasonic avoidance, and OLED readouts.\u003c\/p\u003e\n\u003cimg alt=\"Self-balancing robot car line tracking demo following a black tape path; note says line tracking kit required\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/STM32-Self-balancing-Robot-CarLoad4KG_0bed498a-e999-412f-abf7-ec2f672ddbbb.jpg?v=1782245087\"\u003e\u003cimg alt=\"Banner strip offering a high-difficulty track map purchase link for line-tracking practice\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/STM32-Self-balancing-Robot-CarLoad4KG_95b7cf20-9895-490a-931d-05b06c737e68.webp?v=1782245092\"\u003e\u003cimg alt=\"PS2 handle control demo with robot driving outdoors; note indicates handle control kit required\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/STM32-Self-balancing-Robot-CarLoad4KG_cbafa8bf-1bc5-4940-95d8-128ba7f36c88.jpg?v=1782245098\"\u003e\u003cimg alt=\"Yahboom self-balancing robot car with LiDAR demonstrating wall following, obstacle avoidance, patrol and follow modes\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/STM32-Self-balancing-Robot-CarLoad4KG_5ef1e937-1506-4316-9b39-234235d6d52f.jpg?v=1782245104\"\u003e\u003cp\u003eThe Yahboom STM32 self-balancing robot car supports LiDAR-based wall following, obstacle avoidance, patrol, guard, and follow behaviors.\u003c\/p\u003e\n\u003cimg alt=\"Yahboom STM32 self-balancing robot car infographic with line tracking, color following, QR control, and vision recognition\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/STM32-Self-balancing-Robot-CarLoad4KG_ac35f837-e202-4696-beac-d54469e6fbb9.jpg?v=1782245111\"\u003e\u003cp\u003eThe Yahboom STM32 self-balancing robot car supports line tracking, color following, QR code control, and visual recognition tasks for interactive projects.\u003c\/p\u003e\n\u003cimg alt=\"Yahboom STM32 self-balancing robot kit infographic showing modular controller board, sensors, and PID control learning\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/STM32-Self-balancing-Robot-CarLoad4KG_b290821d-772e-410e-b687-89e5552b653f.jpg?v=1782245117\"\u003e\u003cp\u003eThe Yahboom STM32 self-balancing robot uses a modular controller board with Bluetooth, ultrasonic sensing, OLED display, and an MPU6050 gyro module for tuning and PID learning.\u003c\/p\u003e\n\u003cimg alt=\"Yahboom STM32 self-balancing two-wheel robot car with expansion sensor modules, camera board, and gamepad remote\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/STM32-Self-balancing-Robot-CarLoad4KG_8daaf789-370a-4adc-890f-085b54bad187.jpg?v=1782245122\"\u003e\u003cp\u003eThe Yahboom STM32 self-balancing robot kit supports add-on sensor accessories and includes a two-wheel chassis, camera module, and gamepad-style controller.\u003c\/p\u003e\n\u003cimg alt=\"Documentation screenshot listing mathematical modeling plus PID and LQR control source code for a self-balancing robot\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/STM32-Self-balancing-Robot-CarLoad4KG_1c7cfef3-c225-45fc-84a7-1d6dc9f7e77b.jpg?v=1782245129\"\u003e\u003cp\u003eMathematical modeling notes and PID\/LQR control source code support tuning and control development for the STM32 self-balancing robot.\u003c\/p\u003e\n\u003cimg alt=\"Yahboom STM32 self-balancing two-wheel robot with ultrasonic sensor module beside a laptop showing source code folders\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/STM32-Self-balancing-Robot-CarLoad4KG_a21bc9e0-e07a-4a49-869b-35b534147229.jpg?v=1782245134\"\u003e\u003cp\u003eThe Yahboom STM32 self-balancing robot is paired with downloadable source code folders, including library function and HAL versions for development.\u003c\/p\u003e\n\u003cimg alt=\"Screenshot of Yahboom STM32 self-balancing robot development manual and BSP driving database document pages\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/STM32-Self-balancing-Robot-CarLoad4KG_9d3481d4-b282-4b9f-8003-fae159801e75.jpg?v=1782245140\"\u003e\u003cp\u003eThe Yahboom STM32 self-balancing robot includes a detailed function development manual and BSP driving database document to support coding and setup.\u003c\/p\u003e\n\u003cimg alt=\"Yahboom STM32 self-balancing robot infographic listing DMP, Kalman filter, and complementary filter angle algorithms\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/STM32-Self-balancing-Robot-CarLoad4KG_541e90b1-a620-414d-aa63-87711f7fff6e.jpg?v=1782245146\"\u003e\u003cp\u003eYahboom STM32 self-balancing robot code supports DMP, Kalman filter, and complementary filter options for angle acquisition and tuning.\u003c\/p\u003e\n\u003cimg alt=\"Course materials list for Yahboom STM32 self-balancing robot, covering assembly, STM32 programming, and PID control topics\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/STM32-Self-balancing-Robot-CarLoad4KG_1027104a-b628-4a84-8eec-567e95d71326.jpg?v=1782245152\"\u003e\u003cp\u003eThe Yahboom STM32 self-balancing robot course materials outline step-by-step lessons on assembly, STM32CubeIDE programming, and PID tuning.\u003c\/p\u003e\n\u003cimg alt=\"Screenshot of Yahboom STM32 self-balancing robot tutorial download page with course folders and video thumbnails\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/STM32-Self-balancing-Robot-CarLoad4KG_9110c183-798f-4998-b35e-eb396a350741.jpg?v=1782245159\"\u003e\u003cp\u003eYahboom STM32 self-balancing robot documentation includes organized tutorial folders and video lessons to guide setup and programming.\u003c\/p\u003e\n\u003cimg alt=\"Exploded view of Yahboom STM32 self-balancing robot chassis with metal frame, wheels, motor, battery box and expansion boards\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/STM32-Self-balancing-Robot-CarLoad4KG_0b9bc4f5-2368-46cc-8039-a65493c84751.jpg?v=1782245166\"\u003e\u003cp\u003eThe STM32 self-balancing robot uses a metal chassis with an enclosed battery box, anti-skid wheels, and modular expansion and sensor boards for easy assembly.\u003c\/p\u003e\n\u003cimg alt=\"Labeled expansion board interface diagram for Yahboom STM32 self-balancing robot, showing ports, buttons, and module connectors.\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/STM32-Self-balancing-Robot-CarLoad4KG_f97ad411-9dd0-4784-b7bb-47915d42b5dc.jpg?v=1782245170\"\u003e\u003cp\u003eThe STM32 robot expansion board uses clearly labeled connectors for power, motors, sensors (MPU6050, ultrasonic, lidar), and programming to simplify wiring and setup.\u003c\/p\u003e\n\u003cimg alt=\"Yahboom STM32 self-balancing robot dimension diagram with 194×200×84 mm measurements and spec table\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/STM32-Self-balancing-Robot-CarLoad4KG_92b83635-25e9-4893-96cb-82fef8308c29.jpg?v=1782245176\"\u003e\u003cp\u003eThe Yahboom STM32 self-balancing robot uses an STM32F103C8T6 controller and lists a 7.4V 2200mAh battery along with key dimensions for fit planning.\u003c\/p\u003e\n\u003cimg alt=\"Shipping list for Yahboom STM32 self-balancing robot kit with line tracking module, PS2 controller, K210 and LiDAR parts\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/STM32-Self-balancing-Robot-CarLoad4KG_d9ea8314-7116-4dbb-8584-9af8ab156dbf.jpg?v=1782245182\"\u003e\u003cp\u003eThe Yahboom STM32 self-balancing robot kit includes line tracking accessories, a PS2 wireless handle set, K210 vision module parts, and T-MINI PLUS LiDAR accessories for expansion.\u003c\/p\u003e\n\u003c\/div\u003e","brand":"Yahboom","offers":[{"title":"Standard kit \/ Without","offer_id":53136796778720,"sku":"6000200653-1","price":123.8,"currency_code":"USD","in_stock":true},{"title":"Standard kit \/ Line tracking package","offer_id":53136796811488,"sku":"6000200653-2","price":130.99,"currency_code":"USD","in_stock":true},{"title":"Standard kit \/ Handle control package","offer_id":53136796844256,"sku":"6000200653-3","price":139.39,"currency_code":"USD","in_stock":true},{"title":"Standard kit \/ K210 module 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It integrates multiple onboard peripherals (buzzer, infrared sensors, photosensitive sensor, RGB\/searchlight lighting, independent buttons, etc.) and provides a wide range of expansion interfaces and mounting holes for external sensors and control modules. Through C language programming, functions such as obstacle avoidance, infrared following, and remote control can be implemented; combined with tires, motors, and an ultrasonic module, it can be assembled into a 4WD smart car.\u003c\/p\u003e\u003ch2\u003eKey Features\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003eDevelopment board \u0026amp; smart car 2-in-1\u003c\/li\u003e\n\u003cli\u003eOpen source tutorials and codes; supports multiple external sensors\u003c\/li\u003e\n\u003cli\u003eOnboard MCU: STM32F103ZET6 (ARM Cortex-M3), up to 72 MHz, 512KB Flash, 64KB RAM\u003c\/li\u003e\n\u003cli\u003ePeripheral resources include UART, I2C, SPI, timers, ADC, and 144 GPIO pins\u003c\/li\u003e\n\u003cli\u003eType-C data cable programming\/download (one-click writing and downloading)\u003c\/li\u003e\n\u003cli\u003e40-pin GPIO header for expansion (DuPont cable connection supported)\u003c\/li\u003e\n\u003cli\u003e2-layer expansion platform for installing additional sensor peripherals\u003c\/li\u003e\n\u003cli\u003eClosed battery box design (protects battery from bumps, liquids, and dust)\u003c\/li\u003e\n\u003cli\u003eEquipped with OLED display for real-time running status information\u003c\/li\u003e\n\u003cli\u003eSafety protection: short circuit protection, over-current protection\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch2\u003eFunctions Demonstrated\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003eOLED display\u003c\/li\u003e\n\u003cli\u003eBuzzer sound\u003c\/li\u003e\n\u003cli\u003eUltrasonic data detection\u003c\/li\u003e\n\u003cli\u003eIR control data detection\u003c\/li\u003e\n\u003cli\u003eButton control light\u003c\/li\u003e\n\u003cli\u003eVoltage detection\u003c\/li\u003e\n\u003cli\u003eColorful light display\u003c\/li\u003e\n\u003cli\u003ePhotosensitive data detection\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch2\u003eSmart Car Function Display (as listed)\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003eUltrasonic \u0026amp; PTZ multi-angle avoiding (Optional: Need servo PTZ), d = 8cm\u003c\/li\u003e\n\u003cli\u003eInfrared obstacle avoidance\u003c\/li\u003e\n\u003cli\u003eInfrared tracking (Optional: Need 4-channel tracking module)\u003c\/li\u003e\n\u003cli\u003e2.4G wireless handle control (Optional: Need 2.4G handle)\u003c\/li\u003e\n\u003cli\u003eInfrared remote control\u003c\/li\u003e\n\u003cli\u003eUltrasonic ranging, d = 30cm\u003c\/li\u003e\n\u003cli\u003eUltrasonic following\u003c\/li\u003e\n\u003cli\u003eMachine code tracking (Optional: Need K230 vision module)\u003c\/li\u003e\n\u003cli\u003eVoice interactive control (Optional: Need K230 vision module + AI voice module)\u003c\/li\u003e\n\u003cli\u003eGesture control (Voice broadcast) (Optional: Need K230 vision module + AI voice module)\u003c\/li\u003e\n\u003cli\u003eRoad sign recognition (Voice broadcast) (Optional: Need K230 vision module + AI voice module)\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch2\u003eSupports Sensor Accessories (as 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UART5)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eUSB\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e1PCS (USB 2.0 full speed)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eCAN\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e1PCS (2.0B initiative)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eSDIO\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e1PCS\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003e12-bit ADC module (number of channels)\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e3 (21)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eDigital to analog conversion\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e3xADC (12 bits\/21 channels)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003e12-bit DAC converter (number of channels)\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e2 (2)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eFSMC (static memory controller)\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e√\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eUSB communication\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eSupport\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eOnboard peripherals\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eActive buzzer, button, photosensitive sensor, LED light, infrared receiver, searchlight, infrared avoid module\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eSize\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e112.52*195(mm)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eWeight\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eAbout 135g\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eSafety protection\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eShort circuit protection, over-current protection\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\u003c\/table\u003e\u003ch2\u003eOnboard Interface \/ Function Distribution (as labeled)\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003eSearchlight (left\/right)\u003c\/li\u003e\n\u003cli\u003eInfrared obstacle avoidance module (left\/right)\u003c\/li\u003e\n\u003cli\u003eXH2.54-2*4 socket\u003c\/li\u003e\n\u003cli\u003eXH2.54-6PIN pin\u003c\/li\u003e\n\u003cli\u003ePH2.0-5PIN pin-serial port\u003c\/li\u003e\n\u003cli\u003eXH2.54-5PIN pin\u003c\/li\u003e\n\u003cli\u003ePH2.0-4PIN pin\u003c\/li\u003e\n\u003cli\u003eXH2.54-2*20 pin\u003c\/li\u003e\n\u003cli\u003eXH2.54-4PIN pin\u003c\/li\u003e\n\u003cli\u003eXH2.54-7PIN pin-SPI\u003c\/li\u003e\n\u003cli\u003eXH2.54-1*8 socket\u003c\/li\u003e\n\u003cli\u003eXH2.54-3PIN pin\u003c\/li\u003e\n\u003cli\u003ePH2.0-3PIN pin\u003c\/li\u003e\n\u003cli\u003eType-C interface\u003c\/li\u003e\n\u003cli\u003eT-type DC power input\u003c\/li\u003e\n\u003cli\u003eDC4.0*1.7(mm)interface\u003c\/li\u003e\n\u003cli\u003ePower button\u003c\/li\u003e\n\u003cli\u003eButton KEY1, KEY2, KEY3, RESET\u003c\/li\u003e\n\u003cli\u003ePhotosensitive sensor\u003c\/li\u003e\n\u003cli\u003eBuzzer\u003c\/li\u003e\n\u003cli\u003eServo voltage switching\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch2\u003eMounting Hole Location Distribution (as labeled)\u003c\/h2\u003e\u003cp\u003eProvides installation hole position markings for some accessories. Users can adjust the installation hole positions according to actual application scenarios.\u003c\/p\u003e\u003cul\u003e\n\u003cli\u003eElectromagnetic line tracking module\u003c\/li\u003e\n\u003cli\u003e4-channel tracking module\u003c\/li\u003e\n\u003cli\u003eUltrasonic module\u003c\/li\u003e\n\u003cli\u003eMotor bracket\u003c\/li\u003e\n\u003cli\u003eK210\/CCD module\u003c\/li\u003e\n\u003cli\u003eOperational amplifier module\u003c\/li\u003e\n\u003cli\u003eMPU6050 module\u003c\/li\u003e\n\u003cli\u003eUpper expansion board\u003c\/li\u003e\n\u003cli\u003eOLED screen\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch2\u003eExpansion Platform Hole Locations (as labeled)\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003e9G servo PTZ\u003c\/li\u003e\n\u003cli\u003eYDLIDAR X3 lidar\u003c\/li\u003e\n\u003cli\u003eVoice interaction module\u003c\/li\u003e\n\u003cli\u003e2.4G wireless handle\u003c\/li\u003e\n\u003cli\u003e2D electric PTZ\u003c\/li\u003e\n\u003cli\u003e2-layer expansion board\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch2\u003eSize Parameters\u003c\/h2\u003e\u003ch3\u003eSTM32 multi-function development board\u003c\/h3\u003e\u003cul\u003e\n\u003cli\u003eUnit: mm\u003c\/li\u003e\n\u003cli\u003eSize: 112.52*195(mm)\u003c\/li\u003e\n\u003cli\u003eAdditional drawing marks (unit: mm): 195, 108, 82, 81, 48, 19, 25, 16, 15\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch3\u003eSTM32 smart car\u003c\/h3\u003e\u003cul\u003e\n\u003cli\u003eUnit: mm\u003c\/li\u003e\n\u003cli\u003eOverall (top view): 146.00 x 195.00\u003c\/li\u003e\n\u003cli\u003eHeight (side view): 60.70\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch2\u003eCourse Outline (as listed)\u003c\/h2\u003e\u003ch3\u003e0. Get started quickly with the STM32 development board car\u003c\/h3\u003e\u003col\u003e\n\u003cli\u003eSTM32 development board accessories for each version\u003c\/li\u003e\n\u003cli\u003eSTM32 development board manual\u003c\/li\u003e\n\u003cli\u003eSTM32 development board car assembly (car version)\u003c\/li\u003e\n\u003cli\u003eGet started quickly (must read)\u003c\/li\u003e\n\u003cli\u003ePrecautions for use\u003c\/li\u003e\n\u003c\/ol\u003e\u003ch3\u003e1. Introduction to STM32 development board\u003c\/h3\u003e\u003col\u003e\n\u003cli\u003eLearn about STM32\u003c\/li\u003e\n\u003cli\u003eIntroduction to STM32 development board\u003c\/li\u003e\n\u003cli\u003eDevelopment board pin assignment\u003c\/li\u003e\n\u003cli\u003eIntroduction to HAL library and LL library\u003c\/li\u003e\n\u003c\/ol\u003e\u003ch3\u003e2. Setting up and using the development environment\u003c\/h3\u003e\u003col\u003e\n\u003cli\u003eCommon development tools\u003c\/li\u003e\n\u003cli\u003eSTM32CubeMX Install - Use\u003c\/li\u003e\n\u003cli\u003eSTM32CubeIDE Install - Use\u003c\/li\u003e\n\u003cli\u003eCommon Driver Installation\u003c\/li\u003e\n\u003cli\u003eProgram download and simulation\u003c\/li\u003e\n\u003cli\u003eEngineering experience and migration\u003c\/li\u003e\n\u003c\/ol\u003e\u003ch3\u003e3. Development board basic tutorial\u003c\/h3\u003e\u003col\u003e\n\u003cli\u003eRGB searchlight (GPIO)\u003c\/li\u003e\n\u003cli\u003eBuzzer control (GPIO)\u003c\/li\u003e\n\u003cli\u003eButton control (EXTI)\u003c\/li\u003e\n\u003cli\u003eSerial communication(USART)\u003c\/li\u003e\n\u003cli\u003eVoltage detection (ADC)\u003c\/li\u003e\n\u003cli\u003eInternal temperature sensor (ADC)\u003c\/li\u003e\n\u003cli\u003eIndependent watchdog (IwDG)\u003c\/li\u003e\n\u003cli\u003eWindow watchdog (wwDG)\u003c\/li\u003e\n\u003cli\u003eBasic timer (TIM6)\u003c\/li\u003e\n\u003cli\u003eUniversal Timer (TIM3)\u003c\/li\u003e\n\u003cli\u003eAdvanced timers (TIM1)\u003c\/li\u003e\n\u003cli\u003eI2C Communication (IIC)\u003c\/li\u003e\n\u003cli\u003eOff-chip Flash (SPI)\u003c\/li\u003e\n\u003cli\u003eOn-chip Flash(Flash)\u003c\/li\u003e\n\u003cli\u003eDMA: USART\u003c\/li\u003e\n\u003cli\u003eDMA: SPI\u003c\/li\u003e\n\u003cli\u003eDMA: I2C\u003c\/li\u003e\n\u003cli\u003eUSB communication\u003c\/li\u003e\n\u003cli\u003eUSB analog U disk\u003c\/li\u003e\n\u003cli\u003eFreeRTOS\u003c\/li\u003e\n\u003c\/ol\u003e\u003ch3\u003e4. Car expansion tutorial\u003c\/h3\u003e\u003col\u003e\n\u003cli\u003eServo control\u003c\/li\u003e\n\u003cli\u003eBasicuse of ultrasonic servo PTZ\u003c\/li\u003e\n\u003cli\u003eMotor control\u003c\/li\u003e\n\u003cli\u003eOLED display light sensitivity value\u003c\/li\u003e\n\u003cli\u003eInfrared sensor\u003c\/li\u003e\n\u003cli\u003eFour-way tracking module\u003c\/li\u003e\n\u003cli\u003eInfrared remote control\u003c\/li\u003e\n\u003cli\u003eUltrasonic ranging\u003c\/li\u003e\n\u003cli\u003ePS2 controller test\u003c\/li\u003e\n\u003cli\u003eK230 Vision Module\u003c\/li\u003e\n\u003cli\u003eAI voice interaction integration module\u003c\/li\u003e\n\u003c\/ol\u003e\u003ch3\u003e5. Robot car tutorials\u003c\/h3\u003e\u003col\u003e\n\u003cli\u003eCar line patrol\u003c\/li\u003e\n\u003cli\u003eUltrasonic follow\u003c\/li\u003e\n\u003cli\u003eUltrasonic obstacle avoidance\u003c\/li\u003e\n\u003cli\u003eUltrasonic obstacle avoidance (servo gimbal version)\u003c\/li\u003e\n\u003cli\u003eInfrared sensor obstacle avoidance\u003c\/li\u003e\n\u003cli\u003eInfrared remote control\u003c\/li\u003e\n\u003cli\u003ePS2 handle remote control\u003c\/li\u003e\n\u003cli\u003eK230 face tracking on PTZ\u003c\/li\u003e\n\u003cli\u003eK230 color tracking\u003c\/li\u003e\n\u003cli\u003eK230 Color Line Patrol\u003c\/li\u003e\n\u003cli\u003eK230 QR code command\u003c\/li\u003e\n\u003cli\u003eK230 machine code tracking\u003c\/li\u003e\n\u003cli\u003eK230 road sign indication action (voice)\u003c\/li\u003e\n\u003cli\u003eK230 color response (voice)\u003c\/li\u003e\n\u003cli\u003eK230 gesture control (voice)\u003c\/li\u003e\n\u003cli\u003eK230 Rock Paper Scissors Game (Voice)\u003c\/li\u003e\n\u003c\/ol\u003e\u003ch2\u003eApplications\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003eSTM32 embedded development learning and experiments\u003c\/li\u003e\n\u003cli\u003eRobot car programming practice (C language)\u003c\/li\u003e\n\u003cli\u003eSensor expansion and prototyping via XH2.54\/PH2.0\/UART\/SPI\/I2C interfaces\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch2\u003eTutorial \/ Manual\u003c\/h2\u003e\u003cul\u003e\u003cli\u003e\u003ca href=\"http:\/\/www.yahboom.net\/study\/STM32-BoardCar\" rel=\"noopener\" target=\"_blank\"\u003eYahboom STM32 Robot Car tutorial\u003c\/a\u003e\u003c\/li\u003e\u003c\/ul\u003e\u003cp\u003eFor pre-sales compatibility questions or after-sales help, contact \u003ca href=\"https:\/\/rcdrone.top\/\" rel=\"noopener\" target=\"_blank\"\u003ehttps:\/\/rcdrone.top\/\u003c\/a\u003e or email \u003ca href=\"mailto:support@rcdrone.top\"\u003esupport@rcdrone.top\u003c\/a\u003e.\u003c\/p\u003e\u003ciframe height=\"695\" src=\"https:\/\/www.youtube.com\/embed\/-yzckeePID0\" title=\"STM32 Smart Car with Multifunctional Development Board\" width=\"1236\"\u003e\u003c\/iframe\u003e\u003ch2 id=\"details\"\u003eDetails\u003c\/h2\u003e\u003cdiv class=\"details-gallery\"\u003e\n\u003cimg alt=\"Yahboom STM32 smart car 2-in-1 development board kit with 4WD chassis and sensor modules\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/STM32-Smart-Car-with-Multifunctional-Development-Board.jpg?v=1782244003\"\u003e\u003cp\u003eBuild and program a 2-in-1 platform that works as a standalone STM32 development board or a 4WD smart car base.\u003c\/p\u003e\n\u003cimg alt=\"2-in-1 concept: STM32 multifunction development board plus smart car chassis combining into one robotics platform\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/STM32-Smart-Car-with-Multifunctional-Development-Board_300c799e-50e7-4ede-82af-83271b314743.jpg?v=1782244013\"\u003e\u003cp\u003eUse the board independently for MCU experiments, then mount it to the chassis to start smart car projects.\u003c\/p\u003e\n\u003cimg alt=\"STM32F103ZET6 onboard MCU overview with Cortex‑M3, up to 72MHz, 512KB Flash and 64KB RAM\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/STM32-Smart-Car-with-Multifunctional-Development-Board_bd09b163-2c0d-4276-97de-e36056cf5896.jpg?v=1782244019\"\u003e\u003cp\u003eThe STM32F103ZET6 (Cortex‑M3) provides up to 72MHz performance with 512KB Flash and 64KB RAM for expansion-heavy builds.\u003c\/p\u003e\n\u003cimg alt=\"Course outline page for STM32 board basics, expansion modules, and robot car tutorials\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/STM32-Smart-Car-with-Multifunctional-Development-Board_0676ba3d-6b6e-4091-b622-a612d1531711.jpg?v=1782244025\"\u003e\u003cp\u003eStep-by-step tutorials cover STM32 fundamentals, peripheral drivers, and smart car feature development.\u003c\/p\u003e\n\u003cimg alt=\"Experimental routine examples: OLED display, buzzer, IR control, voltage sensing, RGB lighting and photosensor tests\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/STM32-Smart-Car-with-Multifunctional-Development-Board_ce926360-4a4b-4b5d-ab6f-0a1cfcd31b62.jpg?v=1782244031\"\u003e\u003cp\u003eOnboard peripherals support hands-on routines like OLED status display, buzzer alerts, IR decoding, and sensor data collection.\u003c\/p\u003e\n\u003cimg alt=\"Smart car function display list including ultrasonic avoidance, infrared tracking, wireless handle control and voice options\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/STM32-Smart-Car-with-Multifunctional-Development-Board_8f98c394-2cfa-465b-a38e-1b9bf2ab6341.jpg?v=1782244037\"\u003e\u003cp\u003eDemonstration projects include ultrasonic ranging\/avoidance, infrared obstacle following, and optional wireless or AI interaction modules.\u003c\/p\u003e\n\u003cimg alt=\"Sensor accessory support graphic: RGB light, 2DOF electric PTZ tracking, drive servo motor and gyroscope module\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/STM32-Smart-Car-with-Multifunctional-Development-Board_c11089e2-f1ba-4440-934e-41ba33c7a41b.jpg?v=1782244043\"\u003e\u003cp\u003eMounting points and interfaces make it easy to add accessories like RGB lighting, servos, PTZ brackets, and gyroscope modules.\u003c\/p\u003e\n\u003cimg alt=\"Banner linking to optional 2DOF electric PTZ accessory for the STM32 smart car platform\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/STM32-Smart-Car-with-Multifunctional-Development-Board.webp?v=1782244063\"\u003e\u003cimg alt=\"Feature details: Type‑C one‑click download, expansion interfaces, 40‑pin GPIO, closed battery box and OLED display\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/STM32-Smart-Car-with-Multifunctional-Development-Board_a59090b0-379c-4203-bf9d-2ea3d2f19ff5.jpg?v=1782244069\"\u003e\u003cp\u003eType‑C programming, a 40‑pin GPIO header, and a closed battery box help keep prototyping fast and tidy.\u003c\/p\u003e\n\u003cimg alt=\"Development board function distribution diagram labeling ports, buttons, sensors, power, Type‑C and expansion sockets\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/STM32-Smart-Car-with-Multifunctional-Development-Board_aebd180d-b459-4975-b2e2-c304df6b82b2.jpg?v=1782244075\"\u003e\u003cp\u003eClear connector labeling helps wire up UART\/I2C\/SPI devices, sensors, and power with fewer mistakes during bring-up.\u003c\/p\u003e\n\u003cimg alt=\"Hole location distribution for mounting modules like ultrasonic sensor, tracking module, OLED screen and motor brackets\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/STM32-Smart-Car-with-Multifunctional-Development-Board_65caae10-429d-43ac-99d6-0c93597b285f.jpg?v=1782244081\"\u003e\u003cimg alt=\"Expansion platform hole locations diagram for add-ons such as servo PTZ, wireless handle and voice interaction modules\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/STM32-Smart-Car-with-Multifunctional-Development-Board_592611df-7492-4694-a7f3-b5089449325b.jpg?v=1782244087\"\u003e\u003cimg alt=\"Size parameters drawing for STM32 multifunction development board with dimensions in millimeters\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/STM32-Smart-Car-with-Multifunctional-Development-Board_194a142a-d69b-466c-8a3a-9bd9f574d2d2.jpg?v=1782244093\"\u003e\u003cp\u003eBoard dimensions and mounting spacing are provided to plan chassis fitment and stacked expansion layouts.\u003c\/p\u003e\n\u003cimg alt=\"STM32 development board parameter table: MCU package, memory, interfaces, peripherals and safety protections\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/STM32-Smart-Car-with-Multifunctional-Development-Board_f38d6931-9523-4e95-a5c2-1cb1f59c65be.jpg?v=1782244098\"\u003e\u003cimg alt=\"STM32 smart car chassis size drawing with top and side views and key dimensions in millimeters\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/STM32-Smart-Car-with-Multifunctional-Development-Board_ddeaa3db-2b03-4cec-90c2-a7d0ab342778.jpg?v=1782244104\"\u003e\u003cimg alt=\"STM32 smart car specification table listing control methods, motor encoder, battery, charging and overall size\/weight\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/STM32-Smart-Car-with-Multifunctional-Development-Board_59dbc4b1-43ca-4a20-a0f2-669d1d729996.jpg?v=1782244110\"\u003e\u003cp\u003eCar-side specs summarize control options, motor\/encoder details, and battery and charging information for the complete build.\u003c\/p\u003e\n\u003cimg alt=\"Online course resources and tutorial folders for STM32 board basics with downloadable lesson structure\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/STM32-Smart-Car-with-Multifunctional-Development-Board_d5c814e7-91c4-4a76-b45b-f5be0a32760e.jpg?v=1782244116\"\u003e\u003cp\u003eAccess structured learning resources online, organized by topics from quick start to peripheral and communication drivers.\u003c\/p\u003e\n\u003cimg alt=\"Car expansion and robot car tutorial folders covering servo control, ultrasonic, infrared, vision modules and more\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/STM32-Smart-Car-with-Multifunctional-Development-Board_ee5aba13-b7f3-4182-923f-a8dadfea815b.jpg?v=1782244122\"\u003e\u003cp\u003eAdvanced lessons extend into car expansion modules and higher-level robot behaviors like tracking and obstacle avoidance.\u003c\/p\u003e\n\u003cimg alt=\"Yahboom STM32 smart car kit preview with open-source code snippet and 3D model file support for a robot car build\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/STM32-Smart-Car-with-Multifunctional-Development-Board_f9cbc097-01e2-40b7-9979-65d349f478cc.jpg?v=1782244127\"\u003e\u003cp\u003eThe Yahboom STM32 smart car kit includes open-source code resources and 3D model files to help streamline development and customization.\u003c\/p\u003e\n\u003cimg alt=\"Yahboom STM32 smart car development board kit with STM32 board, ultrasonic sensor, IR remote, OLED and USB cable\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/STM32-Smart-Car-with-Multifunctional-Development-Board_65ceb83b-7986-4156-8304-5be3e5c0881e.webp?v=1782244132\"\u003e\u003cp\u003eThe kit includes an STM32 board with an ultrasonic sensor module, infrared remote, small OLED display, and a USB data cable for setup.\u003c\/p\u003e\n\u003cimg alt=\"Yahboom STM32 smart car standard kit contents with STM32 board, ultrasonic module, OLED, remote, motors, wheels and battery\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/STM32-Smart-Car-with-Multifunctional-Development-Board_40f5ddfd-94a4-4449-ac67-1f5b9a613675.jpg?v=1782244138\"\u003e\u003cp\u003eThe standard kit bundles an STM32 board with an ultrasonic module, OLED display, IR remote, chassis plates, wheels, encoder motors, battery, and basic cables and hardware.\u003c\/p\u003e\n\u003cimg alt=\"Yahboom STM32 smart car tracking kit parts including STM32 board, ultrasonic module, OLED, remote, motors, wheels and battery\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/STM32-Smart-Car-with-Multifunctional-Development-Board_0bc7046a-ba7d-42b6-9e3d-f49d611f910e.jpg?v=1782244143\"\u003e\u003cp\u003eThe Yahboom STM32 smart car kit includes an STM32 control board, ultrasonic module, OLED display, IR remote, four encoder motors with wheels, a 7.4V lithium battery, and mounting accessories.\u003c\/p\u003e\n\u003cimg alt=\"Yahboom STM32 smart car handle control kit with STM32 board, ultrasonic sensor, OLED, remote, motors, wheels and battery\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/STM32-Smart-Car-with-Multifunctional-Development-Board_28b5ffa3-b582-460a-8e61-160ef45f4d8e.jpg?v=1782244149\"\u003e\u003cp\u003eThe Yahboom STM32 smart car kit includes an STM32 control board, ultrasonic sensor, OLED display, IR remote, 2.4G gamepad, motors, wheels, battery and charger for building and testing drive control.\u003c\/p\u003e\n\u003cimg alt=\"Yahboom STM32 smart car kit components with STM32 board, ultrasonic sensor, OLED, IR remote, motors and wheels\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/STM32-Smart-Car-with-Multifunctional-Development-Board_b09dec6f-0858-4eac-8637-3b9d1005d4b3.jpg?v=1782244155\"\u003e\u003cp\u003eThe kit includes an STM32 control board, ultrasonic module, OLED display, IR remote, motors with encoders, wheels, battery, and mounting hardware for building a smart car.\u003c\/p\u003e\n\u003cimg alt=\"Yahboom STM32 smart car development kit contents, including STM32 board, sensors, OLED, motors with encoders, wheels and battery\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/STM32-Smart-Car-with-Multifunctional-Development-Board_69063a38-84bb-444e-b1a6-fdbe624c3378.jpg?v=1782244161\"\u003e\u003cp\u003eThe Yahboom STM32 smart car kit bundles the STM32 control board with an ultrasonic sensor, infrared tracking module, OLED display, encoder motors, wheels, and charging accessories for a complete build.\u003c\/p\u003e\n\u003c\/div\u003e","brand":"Yahboom","offers":[{"title":"STM32 Board","offer_id":53136810246368,"sku":"6000400387-1","price":76.99,"currency_code":"USD","in_stock":true},{"title":"Car Standard Kit","offer_id":53136810279136,"sku":"6000400387-2","price":160.99,"currency_code":"USD","in_stock":true},{"title":"Car Tracking Kit","offer_id":53136810311904,"sku":"6000400387-3","price":165.79,"currency_code":"USD","in_stock":true},{"title":"Car Handle Control Kit","offer_id":53136810344672,"sku":"6000400387-4","price":175.39,"currency_code":"USD","in_stock":true},{"title":"Car Servo PTZ Kit","offer_id":53136810377440,"sku":"6000400387-5","price":165.79,"currency_code":"USD","in_stock":true},{"title":"Car Ultimate Kit","offer_id":53136810410208,"sku":"6000400387-6","price":184.99,"currency_code":"USD","in_stock":true},{"title":"Car K230 Visual Kit","offer_id":53136810442976,"sku":"6000400387-7","price":253.4,"currency_code":"USD","in_stock":true},{"title":"Car K230 Visual Voice Kit","offer_id":53136810475744,"sku":"6000400387-8","price":276.2,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0643\/3210\/3904\/files\/STM32_Car_Yahboom_0333_c20ee2ba-b9c6-4404-b55d-3016c2071c0d.jpg?v=1782132140"},{"product_id":"yahboom-tinybit-pro-robot","title":"Yahboom Tiny:bit Pro AI Visual Robot Car for BBC micro:bit with K210 Vision Module, MakeCode + MicroPython","description":"\u003ch2\u003eOverview\u003c\/h2\u003e\u003cp\u003eTiny:bit Pro AI visual robot car is a BBC micro:bit-based robot car that combines the Yahboom Tiny:bit car platform with a K210 vision module for AI visual recognition, creative expansion, and autopilot-style scene interaction. It integrates multiple onboard sensors (infrared sensor, ultrasonic module, sound sensor) plus a buzzer and RGB lighting effects, enabling functions such as obstacle avoidance, following, and “singing” via MakeCode graphical programming. With the K210 module, it can capture HD images to support machine learning, image recognition, color detection, and target tracking.\u003c\/p\u003e\u003ch2\u003eKey Features\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003eFor BBC micro:bit; compatible with both old and new versions micro:bit board: \u003cstrong\u003eMicro:bit V2 board (default)\u003c\/strong\u003e and \u003cstrong\u003eMicro:bit V1 board (compatible with)\u003c\/strong\u003e.\u003c\/li\u003e\n\u003cli\u003eAdjustable bracket allows the camera angle on the K210 module to be freely adjusted.\u003c\/li\u003e\n\u003cli\u003eDual programming workflow: robot car uses \u003cstrong\u003eMakeCode graphical programming\u003c\/strong\u003e; K210 vision module uses \u003cstrong\u003eMicroPython\u003c\/strong\u003e.\u003c\/li\u003e\n\u003cli\u003eBasic functions: infrared tracking, ultrasonic obstacle avoidance (distance measurement), buzzer singing, sound detection, RGB lighting effect.\u003c\/li\u003e\n\u003cli\u003eSupports remote control: Android\/iOS app remote control; infrared remote control (standard); micro:bit handle remote control (purchased separately).\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch2\u003eAI Vision \u0026amp; Recognition Functions\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003eColor recognition\u003c\/li\u003e\n\u003cli\u003eBarcode identify \/ barcode recognition (micro:bit displays barcode content; searchlight turns green when recognized, red when not recognized)\u003c\/li\u003e\n\u003cli\u003eQR code recognition (recognizes QR code information and performs actions based on the QR code content)\u003c\/li\u003e\n\u003cli\u003eMachine code detection\u003c\/li\u003e\n\u003cli\u003eMachine code following\u003c\/li\u003e\n\u003cli\u003eObject recognition (micro:bit dot matrix can display the corresponding object ID)\u003c\/li\u003e\n\u003cli\u003eFace recognition (micro:bit LED dot matrix displays different face serial numbers and plays different music)\u003c\/li\u003e\n\u003cli\u003eMask warning (detects whether a face is wearing a mask; buzzer can send out a warning when not wearing a mask)\u003c\/li\u003e\n\u003cli\u003eRoad sign recognition\u003c\/li\u003e\n\u003cli\u003eNumber recognition \/ digital identification (recognizes handwritten numbers and triggers preset actions)\u003c\/li\u003e\n\u003cli\u003eVisual inspection line \/ visual tracking color line\u003c\/li\u003e\n\u003cli\u003eAutonomous learning classification (supports a simple autonomous training classification process by recording \u003cstrong\u003e5 pictures\u003c\/strong\u003e)\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch2\u003eConfiguration Options\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003eTiny:bit Pro Standard Kit\u003c\/strong\u003e: smaller size, higher energy; supports various AI visual recognition and basic functions.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eTiny:bit Pro Expansion Kit\u003c\/strong\u003e: adds an autopilot map to complete autopilot-style scene operation in combination with the map\/props.\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003e\u003cstrong\u003eNote:\u003c\/strong\u003e If a Micro:bit V2 board is not available, select the configuration that includes a micro:bit board.\u003c\/p\u003e\u003ch2\u003eAutopilot Map (Expansion Kit) Specifications\u003c\/h2\u003e\u003ctable border=\"1\" cellpadding=\"6\" cellspacing=\"0\"\u003e\n\u003ctr\u003e\n\u003ctd\u003eAutopilot map size\u003c\/td\u003e\n\u003ctd\u003e2 x 1.5 m\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eAutopilot map mini version material\u003c\/td\u003e\n\u003ctd\u003ePVC fabric (UV high-definition printing, waterproof)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eTraffic sign stickers\u003c\/td\u003e\n\u003ctd\u003eAlready pasted on the iron plate\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eTraffic light model\u003c\/td\u003e\n\u003ctd\u003eManually control light\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eRoad sign iron plate\u003c\/td\u003e\n\u003ctd\u003e*6\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eRoad sign display area\u003c\/td\u003e\n\u003ctd\u003e7 x 7 cm\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eRoad sign height\u003c\/td\u003e\n\u003ctd\u003e18 cm\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/table\u003e\u003ch2\u003eTutorials\u003c\/h2\u003e\u003cp\u003e\u003ca href=\"http:\/\/www.yahboom.net\/study\/Tinybit-Pro\" rel=\"noopener\" target=\"_blank\"\u003eYahboom Tiny:bit Pro AI visual robot car tutorials\u003c\/a\u003e\u003c\/p\u003e\u003cp\u003eIf product selection or setup assistance is needed, contact customer service at \u003ca href=\"mailto:support@rcdrone.top\"\u003esupport@rcdrone.top\u003c\/a\u003e or visit https:\/\/rcdrone.top\/.\u003c\/p\u003e\u003cp style=\"text-align: center;\"\u003e\u003ciframe height=\"420\" src=\"https:\/\/www.youtube.com\/embed\/zX-QhQmTm6s\" title=\"Tiny:bit Pro AI visual robot car\" width=\"600\"\u003e\u003c\/iframe\u003e\u003c\/p\u003e\u003ch2 id=\"details\"\u003eDetails\u003c\/h2\u003e\u003cdiv class=\"details-gallery\"\u003e\n\u003cimg alt=\"Yahboom Tiny:bit Pro AI Visual Robot with K210 camera module on micro:bit robot car chassis\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Tinybit-Pro-AI-visual-robot-car.jpg?v=1782241500\"\u003e\u003cp\u003eMeet the Tiny:bit Pro—an AI visual robot car for BBC micro:bit that pairs the Tiny:bit platform with a K210 vision module for interactive projects.\u003c\/p\u003e\n\u003cimg alt=\"AI vision feature icons for the robot: color, barcode, QR, object, face, road sign, number recognition and more\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Tinybit-Pro-AI-visual-robot-car_15a4c5a3-b0ce-4063-9ea6-7ea7c5f69b07.jpg?v=1782241505\"\u003e\u003cp\u003eA wide range of vision demos are supported, from color and QR recognition to object IDs, tracking, and simple training classification.\u003c\/p\u003e\n\u003cimg alt=\"Yahboom Tiny:bit Pro AI Visual Robot kit box and assembled micro:bit car with K210 vision screen\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Tinybit-Pro-AI-visual-robot-car_9aa12420-6d8c-4938-aa9a-c2ffeda02a9e.jpg?v=1782241511\"\u003e\u003cp\u003eWorks with micro:bit V2 by default and remains compatible with micro:bit V1, making it easy to use in classrooms and clubs.\u003c\/p\u003e\n\u003cimg alt=\"Standard kit vs expansion kit comparison, including optional autopilot map add-on for scene interactions\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Tinybit-Pro-AI-visual-robot-car_bb78f085-d68c-4565-9dad-07bed03279b8.jpg?v=1782241517\"\u003e\u003cp\u003eChoose the Standard Kit for compact AI demos or the Expansion Kit to add an autopilot-style map experience with props.\u003c\/p\u003e\n\u003cimg alt=\"Autonomous learning classification demo using the K210 camera to recognize trained objects\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Tinybit-Pro-AI-visual-robot-car_dea9c9ad-cee3-45c6-9742-2674c2b0b0a2.jpg?v=1782241523\"\u003e\u003cp\u003eCreate quick custom recognition tests by recording sample images and letting the vision module classify what it sees.\u003c\/p\u003e\n\u003cimg alt=\"Color block and machine-code following demo with robot tracking a square marker on the table\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Tinybit-Pro-AI-visual-robot-car_9ac63df4-8ccc-47cc-8fb6-48b3d6af34dc.jpg?v=1782241529\"\u003e\u003cp\u003eTrack a color block or marker and program follow behavior for hands-on AI navigation activities.\u003c\/p\u003e\n\u003cimg alt=\"Visual tracking color line demo with robot car following a yellow tape line from a top view\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Tinybit-Pro-AI-visual-robot-car_9622cd74-80a2-436c-bcb0-6088b835866d.jpg?v=1782241534\"\u003e\u003cp\u003eCombine vision and sensors to follow a color line for reliable route and path experiments.\u003c\/p\u003e\n\u003cimg alt=\"Object recognition demo detecting a cup while the robot displays recognition feedback on its screen\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Tinybit-Pro-AI-visual-robot-car_757c6eba-8b3e-4aef-8fe7-b8a2c5bda238.jpg?v=1782241540\"\u003e\u003cp\u003eObject recognition can trigger micro:bit actions—ideal for interactive games, sorting ideas, and STEM challenges.\u003c\/p\u003e\n\u003cimg alt=\"Road sign recognition demo on an autopilot mat with a speed limit sign target in view\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Tinybit-Pro-AI-visual-robot-car_8d36c5de-0e43-4de9-b0af-f311ba50c0ec.jpg?v=1782241545\"\u003e\u003cp\u003eRoad sign recognition supports scenario-based learning, where different signs can trigger different robot behaviors.\u003c\/p\u003e\n\u003cimg alt=\"Mask warning demo interface on the K210 screen with a blurred face for privacy\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Tinybit-Pro-AI-visual-robot-car_e7725290-2b63-4c89-8eef-8dfaae000463.jpg?v=1782241551\"\u003e\u003cp\u003eOptional safety-focused demos include mask detection alerts via the onboard buzzer and display feedback.\u003c\/p\u003e\n\u003cimg alt=\"Collage of barcode, QR code, face recognition and handwritten number identification demos\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Tinybit-Pro-AI-visual-robot-car_f3f66c44-b478-40df-b880-0dbfbb58adcd.jpg?v=1782241556\"\u003e\u003cp\u003eBarcode\/QR scanning and number recognition expand the robot beyond driving—use codes and digits to launch programmed actions.\u003c\/p\u003e\n\u003cimg alt=\"Autopilot map kit contents and layout for navigation challenges, including traffic lights and road signs\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Tinybit-Pro-AI-visual-robot-car_56c5de5f-901a-4eaf-901f-4287a2935fb2.jpg?v=1782241563\"\u003e\u003cp\u003eThe autopilot map set adds a structured environment for practicing turns, intersections, parking, and traffic-light logic.\u003c\/p\u003e\n\u003cimg alt=\"Mobile app remote control and infrared remote control options for driving and lighting effects\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Tinybit-Pro-AI-visual-robot-car_2d5b953d-81ca-4222-8a54-8477049a5f86.jpg?v=1782241569\"\u003e\u003cp\u003eMultiple control options are available, including mobile app control and a standard infrared remote.\u003c\/p\u003e\n\u003cimg alt=\"micro:bit handle controller used for remote driving, sold separately\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Tinybit-Pro-AI-visual-robot-car_2680a997-14ee-4430-9d78-9017a1293e95.jpg?v=1782241574\"\u003e\u003cp\u003eFor hands-on play, a micro:bit handle controller can be added separately to run custom control projects.\u003c\/p\u003e\n\u003cimg alt=\"MakeCode graphical programming screen alongside the robot car for block-based coding on micro:bit\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Tinybit-Pro-AI-visual-robot-car_bb5a149c-ed18-4149-8c14-1e9f6def5e5c.jpg?v=1782241580\"\u003e\u003cp\u003eProgram driving, lights, sound, and sensor behaviors in MakeCode, then extend vision features with MicroPython on the K210 module.\u003c\/p\u003e\n\u003cimg alt=\"Yahboom Tiny:bit Pro AI Visual Robot highlighting K210 vision module, built-in screen and adjustable camera bracket\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Tinybit-Pro-AI-visual-robot-car_831b6835-c9bf-44c3-8dce-3e54e6b37151.jpg?v=1782241586\"\u003e\u003cp\u003eAn adjustable bracket helps aim the camera, while the built-in screen provides live feedback during recognition and tracking.\u003c\/p\u003e\n\u003cimg alt=\"Hardware features diagram labeling sensors, RGB lights, ultrasonic module, buzzer, motors and battery slot\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Tinybit-Pro-AI-visual-robot-car_cb819e97-21be-4072-a73d-23d3509921da.jpg?v=1782241592\"\u003e\u003cp\u003eOnboard components include ultrasonic distance sensing, infrared tracking, RGB lighting, sound detection, and motor drive for rich robot behaviors.\u003c\/p\u003e\n\u003cimg alt=\"Function collage: creative expansion, sound detection, infrared remote, RGB lighting, line tracking and obstacle avoidance\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Tinybit-Pro-AI-visual-robot-car_c4af82da-caef-4ebf-b2b7-7cf40ce512dd.jpg?v=1782241597\"\u003e\u003cp\u003eBeyond AI vision, core robot-car functions cover obstacle avoidance, line tracking, sound reaction, and colorful lighting effects.\u003c\/p\u003e\n\u003cimg alt=\"Product comparison chart for Yahboom Tiny:bit robot cars, comparing Tiny:bit, Tiny:bit Plus, and Tiny:bit Pro features.\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Tinybit-Pro-AI-visual-robot-car_bd2d8958-f623-4361-8213-e482da9cf763.jpg?v=1782241604\"\u003e\u003cp\u003eThe comparison table outlines differences between Tiny:bit, Tiny:bit Plus, and Tiny:bit Pro robot cars, including sensors, motors, size, and battery life.\u003c\/p\u003e\n\u003cimg alt=\"Gift information screen for Yahboom Tiny:bit Pro AI visual robot, showing tutorial link and course file folders\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Tinybit-Pro-AI-visual-robot-car_cf692f81-8392-480b-8cc3-202a52155a27.jpg?v=1782241614\"\u003e\u003cp\u003eYahboom Tiny:bit Pro includes a tutorial link and organized lesson folders covering setup, AI vision, coding, and manuals.\u003c\/p\u003e\n\u003cimg alt=\"Screenshot of Yahboom Tiny:bit Pro AI visual robot sample project folders for obstacle avoidance, tracking, and recognition\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Tinybit-Pro-AI-visual-robot-car_df50811f-9c28-4ab2-b884-f86a319d9171.jpg?v=1782241621\"\u003e\u003cp\u003eTiny:bit Pro includes a library of sample programs covering obstacle avoidance, tracking, and AI vision tasks like barcode\/QR recognition and object detection.\u003c\/p\u003e\n\u003cimg alt=\"Yahboom Tiny:bit Pro AI visual robot parameter sheet with dimension drawings and key specs like K210 module\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Tinybit-Pro-AI-visual-robot-car_622cf4e0-a522-496d-9723-70f51bd3597c.jpg?v=1782241626\"\u003e\u003cp\u003eTiny:bit Pro AI Visual Robot parameters list key specs such as a K210 vision module, 2-inch LCD (320×240), and 7.4V 2000mAh battery.\u003c\/p\u003e\n\u003cimg alt=\"Packing list for Yahboom Tiny:bit Pro AI visual robot kit with chassis, K210 module, battery, remote, and accessories\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Tinybit-Pro-AI-visual-robot-car_2a519a6c-faba-4680-89f6-f936c545e11b.jpg?v=1782241632\"\u003e\u003cp\u003eThe Tiny:bit Pro kit includes the car chassis with motor, K210 visual module, battery, remote controller, TF card, and key assembly accessories.\u003c\/p\u003e\n\u003c\/div\u003e","brand":"Yahboom","offers":[{"title":"Without \/ Standard Kit","offer_id":53136885219552,"sku":"6000200518-1","price":122.6,"currency_code":"USD","in_stock":true},{"title":"Without \/ Expansion Kit","offer_id":53136885252320,"sku":"6000200518-2","price":182.59,"currency_code":"USD","in_stock":true},{"title":"With \/ Standard Kit","offer_id":53136885285088,"sku":"6000200518-3","price":156.2,"currency_code":"USD","in_stock":true},{"title":"With \/ Expansion Kit","offer_id":53136885317856,"sku":"6000200518-4","price":216.19,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0643\/3210\/3904\/files\/TinybitPro_Yahboom_01_39a670c4-b683-4429-8396-f5c5192b8983.jpg?v=1782132655"},{"product_id":"yahboom-dofbot-ai-robot-arm-1","title":"Yahboom DOFBOT AI Large Model Vision Robotic Arm (6-DOF) ROS2 Python for Jetson NANO 4GB B01\/SUB","description":"\u003ch2\u003eOverview\u003c\/h2\u003e\u003cp\u003eYahboom DOFBOT is an AI large model vision \u003cstrong\u003erobotic arm\u003c\/strong\u003e designed for ROS2 development and Python3 programming on Jetson NANO 4GB (B01\/SUB). It integrates a USB HD camera with a 6-DOF desktop robotic arm and supports AI vision applications such as color tracking, gesture recognition, face tracking, visual interaction, and sorting demos. The structure uses green oxidized aluminum alloy, including a 2mm-thick aluminum alloy bracket, and a suction-cup chassis for stable placement.\u003c\/p\u003e\u003ch2\u003eKey Features\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003e6-DOF arm + camera integration:\u003c\/strong\u003e “Robotic Arm–Camera Integration” with “6 Degrees of Freedom”.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eROS2 development:\u003c\/strong\u003e ROS2 Humble is specified (Docker + ROS2 Humble). Supports RViz robot simulation and MoveIt motion planning.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eAI vision \u0026amp; interaction stack:\u003c\/strong\u003e OpenCV, MediaPipe, YOLOv11, inverse kinematics algorithm.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eMultimodal AI large model fusion (listed capabilities):\u003c\/strong\u003e Scalable RAG knowledge base, text semantic understanding, natural speech dialogue, and visual scene understanding.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eControl methods:\u003c\/strong\u003e Android\/iOS mobile app, PC host computer control, and USB wired remote control (standard).\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eBeginner-friendly setup:\u003c\/strong\u003e Pre-assembled before shipping; TF card with factory image for plug-and-play; app QR-code network setup; tutorials and code provided.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eServos \u0026amp; expansion:\u003c\/strong\u003e 6 HQ servos; multifunctional expansion board compatible with Jetson NANO, Raspberry Pi, Arduino, and Micro:bit. Servo configuration listed as 5×15KG bus servo + 1×6KG bus servo.\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch2\u003eSpecifications\u003c\/h2\u003e\u003ctable\u003e\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003eProduct\u003c\/td\u003e\n\u003ctd\u003eDOFBOT AI Large Model Visual Robotic Arm\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eDegree of freedom\u003c\/td\u003e\n\u003ctd\u003e6\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eArm span\u003c\/td\u003e\n\u003ctd\u003e350mm\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eGripper open-close\u003c\/td\u003e\n\u003ctd\u003e6cm\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eRepeatable positioning accuracy\u003c\/td\u003e\n\u003ctd\u003e±0.5mm\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eCamera\u003c\/td\u003e\n\u003ctd\u003eUSB HD camera\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eVisual dimension\u003c\/td\u003e\n\u003ctd\u003ePlane 2D image\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eVoice\u003c\/td\u003e\n\u003ctd\u003eAI large model voice module + speaker\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eDisplay\u003c\/td\u003e\n\u003ctd\u003e\/\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eStructure type\u003c\/td\u003e\n\u003ctd\u003eTraditional robotic arm structure\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eROS system\u003c\/td\u003e\n\u003ctd\u003eDocker + ROS2 Humble\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eFunctions (listed)\u003c\/td\u003e\n\u003ctd\u003eInterconnection control; MoveIt motion planning; RViz robot simulation; 2D visual interaction; voice interaction; AI large model\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eMain controller (listed)\u003c\/td\u003e\n\u003ctd\u003eRaspberry Pi \/ Jetson Nano B01\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eMaterial (structure)\u003c\/td\u003e\n\u003ctd\u003eGreen oxidized aluminum alloy; aluminum alloy bracket thickness 2mm\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eBase\u003c\/td\u003e\n\u003ctd\u003eSuction-cup chassis\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\u003c\/table\u003e\u003ch2\u003eJetson NANO 4GB SUB Notes (listed)\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003eJetson NANO 4GB SUB is described as: quad-core Cortex-A57 CPU, 128-core Maxwell GPU, 4GB LPDDR memory, and 472GFLOP computing power.\u003c\/li\u003e\n\u003cli\u003eSupported AI frameworks listed: TensorFlow, Pytorch, caffe\/caffe2, Keras, MXNET, etc.\u003c\/li\u003e\n\u003cli\u003eJetson NANO 4GB SUB is marked as \u003cstrong\u003eOptional\u003c\/strong\u003e.\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch2\u003eAI Vision \u0026amp; Large Model Demos (examples shown)\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003eAI vision interactive functions: color recognition tracking, grab color blocks, color interaction, catch game, garbage sorting, color block stacking.\u003c\/li\u003e\n\u003cli\u003eMediaPipe machine learning demos: gesture control robotic arm action group, gesture recognition stacking, palm recognition\/tracking, arm posture control.\u003c\/li\u003e\n\u003cli\u003eMultimodal large model applications: video analysis, long-command motion control, intelligent handing, 3D space sorting.\u003c\/li\u003e\n\u003cli\u003eEmbodied intelligence applications: color blocks back in place, visual tracking (KCF), garbage sorting (YOLOv11), intent inference (RAG knowledge base).\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003e\u003cstrong\u003eNotes from the provided materials:\u003c\/strong\u003e “Model training needs to be done by the user.” Some scene props (e.g., a trash can) are described as display props and are not included.\u003c\/p\u003e\u003ch2\u003eMoveIt \/ RViz Simulation \u0026amp; Planning (listed)\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003eMoveIt simulation control and trajectory planning.\u003c\/li\u003e\n\u003cli\u003eURDF support with RViz visual manipulation (drag-and-drop control, preset position control, obstacle avoidance).\u003c\/li\u003e\n\u003cli\u003eCollision detection and “spatial gripping” are shown as supported simulation functions.\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch2\u003eWhat's Included\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003ePre-assembled DOFBOT robotic arm (assembled before shipping)\u003c\/li\u003e\n\u003cli\u003eTF card with factory image file\u003c\/li\u003e\n\u003cli\u003eUSB wired remote control (standard)\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch2\u003eTutorials \/ Videos\u003c\/h2\u003e\u003cp\u003eOnline tutorials: \u003ca href=\"http:\/\/www.yahboom.net\/study\/Dofbot-Jetson_nano\" rel=\"noopener\" target=\"_blank\"\u003ehttp:\/\/www.yahboom.net\/study\/Dofbot-Jetson_nano\u003c\/a\u003e\u003c\/p\u003e\u003ciframe height=\"539\" src=\"https:\/\/www.youtube.com\/embed\/cVIAQJe-gYc\" title=\"What can Yahboom ai large model robotic arm do for you\" width=\"943\"\u003e\u003c\/iframe\u003e\u003ciframe height=\"695\" src=\"https:\/\/www.youtube.com\/embed\/ItNkqKXdRGk\" title=\"Yahboom DOFBOT AI Vision Robotic Arm with ROS Python programming for Jetson NANO 4GB(B01\/SUB)\" width=\"1236\"\u003e\u003c\/iframe\u003e\u003ch2\u003eSupport\u003c\/h2\u003e\u003cp\u003eFor compatibility questions (Jetson\/Raspberry Pi controller options), configuration confirmation, or after-sales support, contact \u003ca href=\"https:\/\/rcdrone.top\/\" rel=\"noopener\" target=\"_blank\"\u003ehttps:\/\/rcdrone.top\/\u003c\/a\u003e or email \u003ca href=\"mailto:support@rcdrone.top\"\u003esupport@rcdrone.top\u003c\/a\u003e.\u003c\/p\u003e\u003ch2 id=\"details\"\u003eDetails\u003c\/h2\u003e\u003cdiv class=\"details-gallery\"\u003e\n\u003cimg alt=\"DOFBOT AI vision robotic arm overview table for Jetson Nano B01—6-DOF, 350mm reach, USB HD camera\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Yahboom-DOFBOT-AI-Large-Model-Vision-Robotic-Arm-with-ROS2_f5e9942c-55bd-4d29-a619-cd83b5109a78.jpg?v=1782219438\"\u003e\u003cp\u003eDOFBOT combines a 6‑DOF desktop arm and USB HD camera for ROS2 Python AI vision development, with 350mm reach and ±0.5mm repeatability.\u003c\/p\u003e\n\u003cimg alt=\"DOFBOT SE spec comparison table—PC virtual machine control, 6-DOF arm, USB HD camera, ROS features\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Yahboom-DOFBOT-AI-Large-Model-Vision-Robotic-Arm-with-ROS2_c05ede1e-bc2c-4751-a58c-fd1b4436e0fc.jpg?v=1782219444\"\u003e\u003cp\u003eChoose the control platform that fits your lab setup, from PC environments to Jetson-based AI development.\u003c\/p\u003e\n\u003cimg alt=\"DOFBOT-PRO comparison chart with depth camera option and 3D visual interaction features\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Yahboom-DOFBOT-AI-Large-Model-Vision-Robotic-Arm-with-ROS2_13e4787e-f2cf-4a71-912a-6cc81ada1ce4.jpg?v=1782219450\"\u003e\u003cp\u003eUpgraded configurations add depth vision and 3D interaction options for more advanced perception demos.\u003c\/p\u003e\n\u003cimg alt=\"JETCOBOT comparison table highlighting 7-DOF arm, 270mm reach, and ROS interconnection features\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Yahboom-DOFBOT-AI-Large-Model-Vision-Robotic-Arm-with-ROS2_fbe95d00-1eba-44a5-8491-cb1e69a350ca.jpg?v=1782219455\"\u003e\u003cp\u003eAlternative arm configurations are available when a different reach or degree-of-freedom layout is needed.\u003c\/p\u003e\n\u003cimg alt=\"Yahboom DOFBOT AI large model visual robotic arm product poster with 6-DOF camera integration\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Yahboom-DOFBOT-AI-Large-Model-Vision-Robotic-Arm-with-ROS2_3abeab50-06ce-4d27-a08b-4a03350d7ca0.jpg?v=1782219462\"\u003e\u003cp\u003eA pre-assembled DOFBOT platform that’s ready for guided learning, testing, and rapid ROS2 experimentation.\u003c\/p\u003e\n\u003cimg alt=\"Feature highlights for DOFBOT—multimodal AI fusion, 6-DOF camera arm, apps, and algorithm frameworks\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Yahboom-DOFBOT-AI-Large-Model-Vision-Robotic-Arm-with-ROS2_10d0db9b-42f2-43a7-b931-03df3b52e1c8.jpg?v=1782219468\"\u003e\u003cp\u003eBuilt to support OpenCV-style vision workflows and higher-level interaction projects in one desktop system.\u003c\/p\u003e\n\u003cimg alt=\"Jetson Nano 4GB SUB computing-power poster with DOFBOT arm and optional Jetson board\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Yahboom-DOFBOT-AI-Large-Model-Vision-Robotic-Arm-with-ROS2_051b5e18-4c23-4126-824b-648b8cd51799.jpg?v=1782219473\"\u003e\u003cp\u003eOptional Jetson Nano 4GB SUB provides the onboard compute for edge AI vision tasks and Python development.\u003c\/p\u003e\n\u003cimg alt=\"Multimodal large model application examples—video analysis, long-command control, intelligent handling, sorting\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Yahboom-DOFBOT-AI-Large-Model-Vision-Robotic-Arm-with-ROS2_20c32e94-6135-49ab-a731-be6e1909e9a3.jpg?v=1782219480\"\u003e\u003cp\u003eDemo workflows cover natural interaction, task execution, and basic sorting scenarios for hands-on practice.\u003c\/p\u003e\n\u003cimg alt=\"Embodied intelligence demos—color block placement, visual tracking, garbage sorting, and intent inference\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Yahboom-DOFBOT-AI-Large-Model-Vision-Robotic-Arm-with-ROS2_b9a2e727-22dc-40b0-aa23-0dfb844845aa.jpg?v=1782219487\"\u003e\u003cp\u003eVision-guided behaviors include tracking targets and performing simple pick-and-place style actions.\u003c\/p\u003e\n\u003cimg alt=\"Fun AI large model gameplay grid—math, problem solving, nutrition, spelling, pointing, and cooking prompts\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Yahboom-DOFBOT-AI-Large-Model-Vision-Robotic-Arm-with-ROS2_fd703894-83dc-402e-aad9-ab803899b4e6.jpg?v=1782219493\"\u003e\u003cp\u003eInteractive learning games help explore vision-plus-language style tasks in a classroom-friendly format.\u003c\/p\u003e\n\u003cimg alt=\"AI vision interactive functions—color tracking, catch game, grab blocks, gesture color interaction, sorting\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Yahboom-DOFBOT-AI-Large-Model-Vision-Robotic-Arm-with-ROS2_e774df22-82c9-4d4d-8766-514bed145656.jpg?v=1782219499\"\u003e\u003cp\u003eCore vision demos include color recognition and tracking, interactive “catch” play, and rule-based sorting.\u003c\/p\u003e\n\u003cimg alt=\"MediaPipe machine learning and inverse kinematics page with gesture control, training, and IK diagram\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Yahboom-DOFBOT-AI-Large-Model-Vision-Robotic-Arm-with-ROS2_76434066-d493-4bcc-bfdf-0fa634ff9217.jpg?v=1782219505\"\u003e\u003cp\u003eIncludes gesture-based interaction concepts, model training examples, and inverse-kinematics motion control.\u003c\/p\u003e\n\u003cimg alt=\"MoveIt simulation control page showing RViz visualization, URDF, trajectory planning, and collision detection\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Yahboom-DOFBOT-AI-Large-Model-Vision-Robotic-Arm-with-ROS2_7eaaba9e-b76f-4fe2-b157-d26825928475.jpg?v=1782219512\"\u003e\u003cp\u003eUse MoveIt with RViz simulation and motion planning to test trajectories and grasping logic before running live.\u003c\/p\u003e\n\u003cimg alt=\"ROS robot operating system and ROS2 Humble page with cross-platform remote control options\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Yahboom-DOFBOT-AI-Large-Model-Vision-Robotic-Arm-with-ROS2_daada76a-6c22-43e7-9c66-64327eb03e4c.jpg?v=1782219518\"\u003e\u003cp\u003eROS2 Humble support pairs with mobile app, PC control, and USB wired remote options for flexible operation.\u003c\/p\u003e\n\u003cimg alt=\"Mobile app gameplay page with gesture grasping, face tracking (blurred), and custom action group learning\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Yahboom-DOFBOT-AI-Large-Model-Vision-Robotic-Arm-with-ROS2_4ae522b7-4532-48e4-a04f-43b55557a927.jpg?v=1782219525\"\u003e\u003cp\u003eApp-based controls add gesture-driven play, tracking demos, and custom action groups for repeatable movements.\u003c\/p\u003e\n\u003cimg alt=\"6-DOF robotic arm labeled joints J1–J6 with USB camera mounted above gripper on desktop base\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Yahboom-DOFBOT-AI-Large-Model-Vision-Robotic-Arm-with-ROS2_59754790-1b0c-47b6-a780-1167e18b466b.jpg?v=1782219531\"\u003e\u003cp\u003eSix articulated joints (J1–J6) provide a compact workspace for vision-guided manipulation and teaching motions.\u003c\/p\u003e\n\u003cimg alt=\"Hardware configuration collage—anodized aluminum arm, bus servos, antennas, control boards, optional modules\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Yahboom-DOFBOT-AI-Large-Model-Vision-Robotic-Arm-with-ROS2_e4e44e8c-eec2-492c-bb94-7bd925da0973.jpg?v=1782219536\"\u003e\u003cp\u003eModular hardware options include bus servos, expansion\/control boards, networking, and optional voice components.\u003c\/p\u003e\n\u003cimg alt=\"Intelligent serial bus servo specs and DOFBOT robot arm expansion board pinout diagram\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Yahboom-DOFBOT-AI-Large-Model-Vision-Robotic-Arm-with-ROS2_b404a7b4-c48f-4aaf-ad3f-b5fb89cf4ad6.jpg?v=1782219543\"\u003e\u003cp\u003eThe expansion board and serial bus servos simplify wiring and make it easier to extend the arm with add-ons.\u003c\/p\u003e\n\u003cimg alt=\"Yahboom DOFBOT robotic arm USB camera module with lens mount, plus AI voice module board and speaker set\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Yahboom-DOFBOT-AI-Large-Model-Vision-Robotic-Arm-with-ROS2_a16057f7-ff34-428d-8b33-f11aaa6e3aba.jpg?v=1782219549\"\u003e\u003cp\u003eThe DOFBOT kit includes a USB camera module (480p\/30fps, 110°) and an AI voice module with a small speaker for vision and voice input.\u003c\/p\u003e\n\u003cimg alt=\"Yahboom DOFBOT Jetson Nano tutorial page on a laptop, promoting 200+ courses for the 6-DOF robotic arm\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Yahboom-DOFBOT-AI-Large-Model-Vision-Robotic-Arm-with-ROS2_65919fd0-3817-465d-ac72-e52746e74624.jpg?v=1782219555\"\u003e\u003cp\u003eYahboom DOFBOT training resources include 200+ systematic courses for learning vision robotic arm setup and programming.\u003c\/p\u003e\n\u003cimg alt=\"DOFBOT course syllabus table for Yahboom DOFBOT AI vision robotic arm training, with modules and lesson outlines\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Yahboom-DOFBOT-AI-Large-Model-Vision-Robotic-Arm-with-ROS2_33144a5c-5e33-416e-88cb-bb5332ef9c68.jpg?v=1782219562\"\u003e\u003cp\u003eThe included DOFBOT course syllabus lays out the training modules and lesson outlines to guide setup and learning.\u003c\/p\u003e\n\u003cimg alt=\"Infographic listing open-source code, tutorials, 3D model files, and support resources for Yahboom DOFBOT arm\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Yahboom-DOFBOT-AI-Large-Model-Vision-Robotic-Arm-with-ROS2_26944d39-ca50-482b-bfe4-89632aea6259.jpg?v=1782219568\"\u003e\u003cp\u003eYahboom DOFBOT includes open-source code and detailed tutorials, plus 3D model files and after-sales technical support resources.\u003c\/p\u003e\n\u003cimg alt=\"Dimension drawing and spec table for Yahboom DOFBOT 6-DOF vision robotic arm, with side and top views\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Yahboom-DOFBOT-AI-Large-Model-Vision-Robotic-Arm-with-ROS2_aec92382-fa5c-4dfd-827a-bbfa5c9d77d8.jpg?v=1782219574\"\u003e\u003cp\u003eThe DOFBOT 6-DOF robotic arm includes dimension drawings and a specification table to help plan mounting and workspace clearances.\u003c\/p\u003e\n\u003cimg alt=\"Shipping list for Yahboom DOFBOT robotic arm kit with camera, OLED display, USB handle, cables, tools and manual\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Yahboom-DOFBOT-AI-Large-Model-Vision-Robotic-Arm-with-ROS2_9fbc29a0-34ae-4443-867d-911e9908e56c.jpg?v=1782219580\"\u003e\u003cp\u003eThe DOFBOT kit includes the robotic arm assembly, camera, OLED display, controller handle, cables, suction cups, screws, tools, and a manual.\u003c\/p\u003e\n\u003cimg alt=\"Jetson Nano accessories list showing Jetson Nano 4GB board, cooling fan, SD card, Wi‑Fi card, and ribbon cable\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Yahboom-DOFBOT-AI-Large-Model-Vision-Robotic-Arm-with-ROS2_488fe8af-bcb6-4b6a-b187-3dd1507fb2af.jpg?v=1782219586\"\u003e\u003cp\u003eJetson Nano accessories include the Nano 4GB board (optional), cooling fan, SD card, wireless network card, and ribbon cable.\u003c\/p\u003e\n\u003c\/div\u003e","brand":"Yahboom","offers":[{"title":"Standard-without \/ Jetson NANO 4GB","offer_id":53137531601120,"sku":"6000200969-1","price":411.8,"currency_code":"USD","in_stock":true},{"title":"Standard-with \/ Jetson NANO 4GB","offer_id":53137531633888,"sku":"6000200969-2","price":675.8,"currency_code":"USD","in_stock":true},{"title":"Superior-without \/ Jetson NANO 4GB","offer_id":53137531666656,"sku":"6000200969-3","price":447.8,"currency_code":"USD","in_stock":true},{"title":"Superior-with \/ Jetson NANO 4GB","offer_id":53137531699424,"sku":"6000200969-4","price":687.8,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0643\/3210\/3904\/files\/JetsonDOFBOT-Yahboom.png?v=1782175790"},{"product_id":"yahboom-mini-robot-chassis","title":"Yahboom Mini Wheeled Robot Car Chassis Kit 4WD Aluminum Alloy 19.5 x 14.2 x 4.5 cm, 310 Encoder Motors","description":"\u003ch2\u003eOverview\u003c\/h2\u003e\u003cp\u003eThe Yahboom Mini Wheeled Robot Car \u003cstrong\u003erobot car chassis kit\u003c\/strong\u003e uses a compact aluminum-alloy, single-layer chassis designed for robot car races with field size limits. With a chassis width of 14.2 cm (less than 15 cm) and an overall size under 25 cm in length, it is suitable for small-format DIY mobile robot platforms. Multiple mounting holes are reserved to support expansion boards, sensors, camera PTZ assemblies, and communication devices.\u003c\/p\u003e\u003ch2\u003eKey Features\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003eAll aluminum alloy frame; workmanship: silver, oxide sandblasted\u003c\/li\u003e\n\u003cli\u003eReserved installation holes to meet personalized expansion needs\u003c\/li\u003e\n\u003cli\u003eFour-wheel drive chassis structure; platform notes: two-wheel drive\/four-wheel drive optional\u003c\/li\u003e\n\u003cli\u003eUses 310 encoder reduction motors; encoder type: 13-wire AB phase Hall encoder (3.3–5V)\u003c\/li\u003e\n\u003cli\u003e48 mm rubber tires; 310 motor shaft uses a “flower shaft” design to increase friction and reduce tire detachment risk\u003c\/li\u003e\n\u003cli\u003e3D model files of the chassis are provided (as stated by the supplier)\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch2\u003eSpecifications\u003c\/h2\u003e\u003ctable\u003e\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003eMaterial\u003c\/td\u003e\n\u003ctd\u003eAluminum alloy\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eChassis size\u003c\/td\u003e\n\u003ctd\u003e19.5 x 14.2 x 4.5 cm\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eOverall size limit (platform note)\u003c\/td\u003e\n\u003ctd\u003eLength \u0026lt; 25 cm; Width \u0026lt; 15 cm; Height \u0026lt; 15 cm\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eChassis width\u003c\/td\u003e\n\u003ctd\u003e14.2 cm (width less than 15 cm)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eWeight\u003c\/td\u003e\n\u003ctd\u003e472.2 g (single layer)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eLoad\u003c\/td\u003e\n\u003ctd\u003e4.5 kg\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eLight load speed\u003c\/td\u003e\n\u003ctd\u003e1.3 m\/s\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eMotor model\u003c\/td\u003e\n\u003ctd\u003e310 encoder reduction motor\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eMotor rated voltage\u003c\/td\u003e\n\u003ctd\u003e7.4 V\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eMotor rated power\u003c\/td\u003e\n\u003ctd\u003e4.8 W\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eMotor speed\u003c\/td\u003e\n\u003ctd\u003e450 ± 10 rpm\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eEncoder\u003c\/td\u003e\n\u003ctd\u003e13-wire AB phase Hall encoder, 3.3–5V\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eSupply voltage (encoder)\u003c\/td\u003e\n\u003ctd\u003e3.3–5V\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eTire size\u003c\/td\u003e\n\u003ctd\u003e48 mm rubber tires\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\u003c\/table\u003e\u003ch2\u003eWhat’s Included\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003eAluminum alloy chassis (single-layer)\u003c\/li\u003e\n\u003cli\u003e310 motors x 4\u003c\/li\u003e\n\u003cli\u003eRubber tires x 4\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch2\u003eApplications\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003eCompact robot car races and training projects with chassis width limits\u003c\/li\u003e\n\u003cli\u003eDIY mobile robot platform for adding sensors, camera PTZ, and communication devices using reserved mounting holes\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch2\u003eOptional Control \u0026amp; Expansion (Not Included)\u003c\/h2\u003e\u003cp\u003eDifferent optional kit configurations are referenced for this chassis platform: Separate chassis; Chassis + Motor driver board (4-channel encoder motor drive board x 1); Chassis + MSPM0 board + Motor driver board + Expansion board (4-channel encoder motor drive board x 1, MSPM0 development board x 1, MSPM0 robot expansion board x 1). For selection help, contact \u003ca href=\"https:\/\/rcdrone.top\/\" rel=\"noopener\" target=\"_blank\"\u003ehttps:\/\/rcdrone.top\/\u003c\/a\u003e or email \u003ca href=\"mailto:support@rcdrone.top\"\u003esupport@rcdrone.top\u003c\/a\u003e.\u003c\/p\u003e\u003ch3\u003eMSPM0 master control (MSPM0G3507) – referenced specs\u003c\/h3\u003e\u003ctable\u003e\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003eCore\u003c\/td\u003e\n\u003ctd\u003eCortex M0\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eNumber of pin\u003c\/td\u003e\n\u003ctd\u003e48\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eInterface resources\u003c\/td\u003e\n\u003ctd\u003e2 x SPI, 4 x USART, 2 x I2C, 1 x CAN, 32 x I\/O, 1 x DAC\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eTimer\u003c\/td\u003e\n\u003ctd\u003e7\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eAnalog to digital\u003c\/td\u003e\n\u003ctd\u003e2 x ADC (12-bit\/17-channel)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eSRAM\u003c\/td\u003e\n\u003ctd\u003e32K\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eInternal FLASH\u003c\/td\u003e\n\u003ctd\u003e128k\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eExternal FLASH\u003c\/td\u003e\n\u003ctd\u003e4M\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003ePin package\u003c\/td\u003e\n\u003ctd\u003eLQFP48\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eCompiler tool\u003c\/td\u003e\n\u003ctd\u003eKEIL MDK, CCS, etc.\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eVoltage range (ADC)\u003c\/td\u003e\n\u003ctd\u003eExternal voltage: 1.62V - 3.6V; Core voltage: 2.5V\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eBOOT0 pin\u003c\/td\u003e\n\u003ctd\u003eNo BOOT0 pin\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eMain frequency clock\u003c\/td\u003e\n\u003ctd\u003e80MHZ\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003ePower consumption\u003c\/td\u003e\n\u003ctd\u003eSleep mode: 2.76mA; Standby mode: 1.5uA; Operation power consumption: 8mA\/80M\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eProgram download\u003c\/td\u003e\n\u003ctd\u003eSWD or serial port one-key download\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eLED\u003c\/td\u003e\n\u003ctd\u003eRed power indicator, custom LED lights x 2\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eButton\u003c\/td\u003e\n\u003ctd\u003eReset button, custom button\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eInterface\u003c\/td\u003e\n\u003ctd\u003eSWD debug interface, Type-C interface, LCD display interface\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eDimensions\u003c\/td\u003e\n\u003ctd\u003e18.89 x 51.12 mm\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eWeight\u003c\/td\u003e\n\u003ctd\u003e7 g\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\u003c\/table\u003e\u003ch3\u003eMSPM0 robot expansion board – referenced interfaces \u0026amp; features\u003c\/h3\u003e\u003cul\u003e\n\u003cli\u003eInterfaces: 4-channel encoder motor drive interface; serial port interface; K210 vision module interface; IIC interface; 8-channel tracking module interface; servo interface; customized button; switch; 5–12V power input interface; power output interface; buzzer; electromagnetic module interface; 4-channel tracking module interface; 3-channel tracking module interface; CCD module interface; 40Pin GPIO pin header\u003c\/li\u003e\n\u003cli\u003eFeatures: designed for MSPM0G3507 development board; supports 5–12V wide voltage power supply and power output; onboard 40-pin GPIO header; power anti-reverse connection protection circuit; onboard buzzer and four custom buttons; reserved IIC and serial expansion (supports connecting BT 5.0 and OLED display); reserved 3-channel\/4-channel\/8-channel tracking interfaces; reserved CCD visual patrol line and electromagnetic patrol line interfaces; reserved 4-channel encoder motor drive module communication interface; reserved K210 visual module expansion interface; reserved 2-channel tPWM servo interface; onboard PH2.0-4P and XH2.54-5P\/6P anti-reverse connection interfaces; supports PH2.0, XH2.54, and DuPont cable connections\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch3\u003e4-channel encoder motor driver module – referenced connectors \u0026amp; pin description\u003c\/h3\u003e\u003cul\u003e\n\u003cli\u003eConnectors: PH2.0-6PIN (encoder motor interfaces 1–4); XH2.54-2PIN (DC motor interfaces 1–4); serial communication PH2.0 interface; IIC communication PH2.0 interface; serial communication Type-C interface; 5V–12V power input interface; DuPont line sockets (encoder motor interfaces 1–4)\u003c\/li\u003e\n\u003cli\u003eEncoder motor interface pins: M1+ (motor power supply +), M1- (motor power supply -), GND (Hall power supply negative pole), 3V3 (Hall power supply positive pole), HA (motor Hall signal A), HB (motor Hall signal B)\u003c\/li\u003e\n\u003cli\u003eDC motor interface pins: M+ (motor power supply +), M- (motor power supply -)\u003c\/li\u003e\n\u003cli\u003eUSART pins: 5V (serial port positive pole), GND (serial port negative pole), TX2 (transmit line), RX2 (receive line)\u003c\/li\u003e\n\u003cli\u003eIIC pins: 5V (IIC power supply), GND (IIC negative pole), SCL (clock line), SDA (bidirectional data line)\u003c\/li\u003e\n\u003cli\u003e5V–12V power input: - (power supply negative pole), + (power supply positive pole)\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch3\u003eReserved mounting examples (platform notes)\u003c\/h3\u003e\u003cul\u003e\n\u003cli\u003eInfrared tracking modules: 4-channel and 8-channel tracking module support\u003c\/li\u003e\n\u003cli\u003eMPU6050 6-axis sensor module mounting support\u003c\/li\u003e\n\u003cli\u003e2DOF electric PTZ mounting support\u003c\/li\u003e\n\u003cli\u003eExample board placement references include Jetson board; compatibility notes reference Raspberry Pi, RDK X5, STM32 robot control board, ESP32 robot control board, and STM32F103RCT6 development board\u003c\/li\u003e\n\u003cli\u003eVisual module examples: K210 visual recognition module (with 2.0-inch touch screen (Back) shown) and K230 visual recognition module (with 2.4-inch touch screen (Back) shown)\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch2 id=\"details\"\u003eDetails\u003c\/h2\u003e\u003cdiv class=\"details-gallery\"\u003e\n\u003cimg alt=\"Yahboom Mini Wheeled Robot aluminum alloy wheeled car chassis kit, compact race-ready platform (V2)\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Yahboom-Mini-Wheeled-Robot-Car-Chassis-Kit.jpg?v=1782195621\"\u003e\u003cimg alt=\"Compact aluminum robot car chassis dimensions: 19.5 × 14.2 × 4.5 cm, width under 15 cm, load up to 4.5 kg\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Yahboom-Mini-Wheeled-Robot-Car-Chassis-Kit_6e4fcbc0-b6ce-4b25-913f-4d3d641d9486.jpg?v=1782195629\"\u003e\u003cp\u003eA compact 4WD chassis platform sized for small-format robot car races, with room to mount controllers, sensors, and add-ons.\u003c\/p\u003e\n\u003cimg alt=\"Yahboom Mini Wheeled Robot chassis introduction with key specs: aluminum alloy frame, 310 encoder motors, 4.5 kg load\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Yahboom-Mini-Wheeled-Robot-Car-Chassis-Kit_5f129e1a-b076-4358-a1f0-06168b18da84.jpg?v=1782195638\"\u003e\u003cimg alt=\"Optional kit configurations comparison: separate chassis, chassis + 4-channel motor driver, or chassis + MSPM0 control set\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Yahboom-Mini-Wheeled-Robot-Car-Chassis-Kit_835fc4a4-00d7-4974-b8d0-b579f4c53e9f.jpg?v=1782195646\"\u003e\u003cimg alt=\"MSPM0 master control board spec table (MSPM0G3507), Cortex-M0, SPI\/UART\/I2C\/CAN and memory details\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Yahboom-Mini-Wheeled-Robot-Car-Chassis-Kit_dd5a4e6a-5158-44c8-a32a-745c27bef58b.jpg?v=1782195655\"\u003e\u003cimg alt=\"MSPM0 robot expansion board layout with labeled ports for motor drive, power, communication, and sensor connections\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Yahboom-Mini-Wheeled-Robot-Car-Chassis-Kit_f967bdb2-4a76-40f0-92d9-104f8eed6f1e.jpg?v=1782195665\"\u003e\u003cimg alt=\"4-channel encoder motor driver module with labeled connectors and pin description table for encoder and motor outputs\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Yahboom-Mini-Wheeled-Robot-Car-Chassis-Kit_c3cf7626-5ec7-4961-9af9-b14e23a8dd4e.jpg?v=1782195674\"\u003e\u003cimg alt=\"Optional K210 and K230 visual recognition modules mounted on the chassis with adjustable bracket and touch display\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Yahboom-Mini-Wheeled-Robot-Car-Chassis-Kit_72156694-a54b-48e2-b68a-5c295742b755.jpg?v=1782195683\"\u003e\u003cp\u003eOptional vision modules can be mounted on an adjustable bracket for AI recognition tasks and interactive projects.\u003c\/p\u003e\n\u003cimg alt=\"Optional add-ons for the chassis: infrared tracking modules, MPU6050 6-axis sensor module, and 2DOF electric PTZ mount\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Yahboom-Mini-Wheeled-Robot-Car-Chassis-Kit_73640a28-af47-45fc-8a7b-f7eb876a9995.jpg?v=1782195692\"\u003e\u003cp\u003eReserved mounting points make it easy to add tracking sensors, an IMU, or a 2DOF PTZ for camera or sensor aiming.\u003c\/p\u003e\n\u003cimg alt=\"310 encoder reduction motor with 48 mm rubber tire and flower-shaft motor shaft design to reduce tire slip\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Yahboom-Mini-Wheeled-Robot-Car-Chassis-Kit_9963f2b3-01b1-4eaf-ad6c-e329cb66a1a0.jpg?v=1782195700\"\u003e\u003cp\u003eThe 48 mm tires pair with a flower-shaft motor design to help improve grip and reduce the chance of tire detachment.\u003c\/p\u003e\n\u003cimg alt=\"Chassis hole position layout diagram marking mounting slots for Jetson\/Raspberry Pi boards, modules, and motor brackets\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Yahboom-Mini-Wheeled-Robot-Car-Chassis-Kit_1523d99b-2c3b-4c39-903b-ce4221da66ff.jpg?v=1782195708\"\u003e\u003cp\u003eMultiple slots and threaded holes support flexible layouts for development boards, motor brackets, and common module mounts.\u003c\/p\u003e\n\u003cimg alt=\"Optional related accessories header for expansion parts and add-on modules\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Yahboom-Mini-Wheeled-Robot-Car-Chassis-Kit.webp?v=1782195715\"\u003e\u003cimg alt=\"Accessory options grid for servo control and PTZ: 24-channel\/16-channel servo boards, metal servo, 9g servo, 2DOF PTZ\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Yahboom-Mini-Wheeled-Robot-Car-Chassis-Kit_32deb96a-94bf-4f3a-82a3-fb4081211419.jpg?v=1782195725\"\u003e\u003cimg alt=\"Motor and drive options list: 310 encoder reduction motor and 4-channel motor drive module accessories\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Yahboom-Mini-Wheeled-Robot-Car-Chassis-Kit_d84bb677-b741-4056-9330-85ab9462d6fe.jpg?v=1782195733\"\u003e\u003cimg alt=\"Visual module accessories list: K230 visual module and K210 visual module options\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Yahboom-Mini-Wheeled-Robot-Car-Chassis-Kit_c04e8109-1841-4134-9340-5dd6e4da5c46.jpg?v=1782195740\"\u003e\u003cimg alt=\"Display accessory option: 0.91-inch OLED display screen module\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Yahboom-Mini-Wheeled-Robot-Car-Chassis-Kit_e4742cb2-8718-40c9-9422-cb8baba0c6c1.jpg?v=1782195748\"\u003e\u003cimg alt=\"Sensor and electronic module options grid: tracking sensors, line tracking, ultrasonic, MPU6050 IMU, AI voice, laser range\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Yahboom-Mini-Wheeled-Robot-Car-Chassis-Kit_47e79429-ffdd-4a5b-a176-044194ef8536.jpg?v=1782195756\"\u003e\u003cp\u003eChoose from tracking, distance, IMU, and interaction modules to build the robot car features your project needs.\u003c\/p\u003e\n\u003cimg alt=\"Remote control accessory options: infrared remote control and 2.4G wireless gamepad handle\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Yahboom-Mini-Wheeled-Robot-Car-Chassis-Kit_f7055aeb-baa3-4fcd-85a7-93f144c3ab75.jpg?v=1782195763\"\u003e\u003cp\u003eControl options include an IR remote or a 2.4G wireless controller for hands-on driving and testing.\u003c\/p\u003e\n\u003cimg alt=\"Size diagram of Yahboom mini wheeled robot chassis showing 195 mm length, 106 mm width, 2 mm thickness, and mounting holes\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Yahboom-Mini-Wheeled-Robot-Car-Chassis-Kit_487f3a1e-62f0-4bc8-8faf-1e840e39b9ac.jpg?v=1782195772\"\u003e\u003cp\u003eThe mini car chassis uses a 195 × 106 mm aluminum-alloy plate (2 mm thick) with slotted mounting points and M2\/M3 threaded holes for easy assembly.\u003c\/p\u003e\n\u003cimg alt=\"4-channel encoder motor driver module diagram with 58×65 mm footprint, 13.4 mm thickness, and interface layout\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Yahboom-Mini-Wheeled-Robot-Car-Chassis-Kit_ffd26883-106d-4131-9fbc-c4ef15ef82b8.jpg?v=1782195781\"\u003e\u003cp\u003eThe 4-channel encoder motor driver module supports 5–12V input, 6.5A motor drive, and I2C\/serial plus Type‑C connections for robot builds.\u003c\/p\u003e\n\u003cimg alt=\"MSPM0 development board dimensions and 310 encoder DC motor size drawings with motor parameter table\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Yahboom-Mini-Wheeled-Robot-Car-Chassis-Kit_11fafe66-8368-4d0b-b82c-2ff5408b4f86.jpg?v=1782195789\"\u003e\u003cp\u003eThe MSPM0 development board dimensions and 310 encoder DC motor sizing details help with planning fitment and wiring in the mini wheeled robot build.\u003c\/p\u003e\n\u003cimg alt=\"Motor bracket size parameters diagram with hole dimensions and black L-shaped bracket for robot motor mounting\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Yahboom-Mini-Wheeled-Robot-Car-Chassis-Kit_af8b624f-9384-46f1-98c6-307e33c4ddd8.jpg?v=1782195798\"\u003e\u003cp\u003eThe L-shaped metal motor bracket uses a 3 mm thick plate with multiple mounting holes for fixing a 310 encoder motor.\u003c\/p\u003e\n\u003cimg alt=\"Specification sheet for mini wheeled robot expansion board layout and tire dimensions (48mm diameter, 27.5mm width)\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Yahboom-Mini-Wheeled-Robot-Car-Chassis-Kit_e108a6c0-c871-40c4-b491-55474508898e.jpg?v=1782195807\"\u003e\u003cp\u003eThe mini wheeled robot specs outline the expansion board layout and key sizing details, including a 48mm tire diameter and 27.5mm tire width.\u003c\/p\u003e\n\u003cimg alt=\"Exploded view of Yahboom mini wheeled robot chassis with top plate, four wheels, motor and mounting brackets\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Yahboom-Mini-Wheeled-Robot-Car-Chassis-Kit_32896235-e625-4c0c-a80a-48585680a0e6.jpg?v=1782195816\"\u003e\u003cp\u003eThe Yahboom mini wheeled robot chassis is shown as an exploded assembly with four wheels, a motor, and mounting brackets for DIY builds.\u003c\/p\u003e\n\u003cimg alt=\"Yahboom BT remote control app interface on smartphone, with iOS\/Android support and mode selection screens\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Yahboom-Mini-Wheeled-Robot-Car-Chassis-Kit_e2a956f0-4cba-431b-9243-3f9d953a757a.jpg?v=1782195823\"\u003e\u003cp\u003eThe Yahboom BT remote control app for iOS and Android provides a main control screen plus sensor status and mode selection interfaces.\u003c\/p\u003e\n\u003cimg alt=\"Course outline table listing chapters and lesson topics for the Yahboom mini wheeled robot kit\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Yahboom-Mini-Wheeled-Robot-Car-Chassis-Kit_202d9d7c-6aec-4abb-a33d-f668428cf0af.jpg?v=1782195831\"\u003e\u003cp\u003eA detailed course outline helps guide setup, programming practice, and module experiments for the mini wheeled robot.\u003c\/p\u003e\n\u003cimg alt=\"Laptop screen showing Yahboom tutorial link and folders for mini chassis, motor drive, MSPM0 development, and RCDrone guides\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Yahboom-Mini-Wheeled-Robot-Car-Chassis-Kit_b8183e65-c241-48b5-8ea9-90267d23886c.jpg?v=1782195838\"\u003e\u003cp\u003eYahboom’s online tutorial resources group the mini chassis files and related motor drive and development guides for easier setup and learning.\u003c\/p\u003e\n\u003cimg alt=\"Screenshot of STM32 development tutorial folders and documentation pages with a small microcontroller board\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Yahboom-Mini-Wheeled-Robot-Car-Chassis-Kit_b810ad06-2765-4e17-a911-315d2fbd800b.jpg?v=1782195846\"\u003e\u003cp\u003eSTM32 development tutorials and documentation provide ready-to-use routines and reference material for getting started with the controller board.\u003c\/p\u003e\n\u003cimg alt=\"Shipping list for Yahboom mini wheeled robot kit with aluminum chassis, 310 encoder motors, 48mm tires, cables and screws\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Yahboom-Mini-Wheeled-Robot-Car-Chassis-Kit_f3b3a102-b902-4002-9eba-191cff6b4438.jpg?v=1782195854\"\u003e\u003cp\u003eThe kit parts list includes an aluminum alloy chassis, 310 encoder motors with 48mm rubber tires, wiring, screws, and optional driver and expansion boards.\u003c\/p\u003e\n\u003c\/div\u003e","brand":"Yahboom","offers":[{"title":"Separate chassis","offer_id":53137852301536,"sku":"6000301424-1","price":87.8,"currency_code":"USD","in_stock":true},{"title":"Chassis +Motor driver board","offer_id":53137852334304,"sku":"6000301424-2","price":99.8,"currency_code":"USD","in_stock":true},{"title":"Chassis+driver board+MSPM0+Expansion board","offer_id":53137852367072,"sku":"6000301424-3","price":111.8,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0643\/3210\/3904\/files\/Yahboom_Mini_Robot_Car_Chassis_6.jpg?v=1782139056"},{"product_id":"yahboom-mspm0-chassis-kit","title":"Yahboom MSPM0 Smart Robot Car Aluminum Alloy Chassis Kit (2WD\/4WD) with 520 Encoder Motors","description":"\u003ch2\u003eOverview\u003c\/h2\u003e\u003cp\u003eThe Yahboom MSPM0 Smart Robot Car Aluminum Alloy \u003cstrong\u003echassis kit\u003c\/strong\u003e is a wheeled mobile development platform designed for electronic design competitions, educational training, and maker projects. It uses an all-aluminum alloy, two-layer chassis structure and supports two-wheel drive (2WD) or four-wheel drive (4WD) configurations with high-precision Hall encoder reduction motors. The kit is compatible with the MSPM0 main control board and supports fast integration of motors, drivers, and common robot sensors.\u003c\/p\u003e\u003ch2\u003eKey Features\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003eAll-aluminum alloy frame; oxidized sandblasting process\u003c\/li\u003e\n\u003cli\u003e2WD \/ 4WD chassis options (length and width are the same; different versions mainly differ in height)\u003c\/li\u003e\n\u003cli\u003eMultiple reserved installation holes for flexible expansion and accessory mounting\u003c\/li\u003e\n\u003cli\u003e65 mm high-friction tires; D-type shaft coupling design to reduce the risk of tires coming loose\u003c\/li\u003e\n\u003cli\u003eSupports high-precision Hall encoder reduction motors (L-type 520 encoder motor)\u003c\/li\u003e\n\u003cli\u003eCompatible with MSPM0 main control board and MSPM0 robot expansion board\u003c\/li\u003e\n\u003cli\u003eExpansion support for vision modules (K210 \/ K230), line tracking modules (3\/4\/8-channel), MPU6050 or 10-axis IMU modules, and 2DOF electric PTZ mounting\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch2\u003eSpecifications\u003c\/h2\u003e\u003ch3\u003eChassis\u003c\/h3\u003e\u003ctable border=\"1\" cellpadding=\"6\" cellspacing=\"0\"\u003e\n\u003ctr\u003e\n\u003ctd\u003eChassis type\u003c\/td\u003e\n\u003ctd\u003e2WD chassis (L-type 520 encoder motor) \/ 4WD chassis (L-type 520 encoder motor)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eMaterial \/ process\u003c\/td\u003e\n\u003ctd\u003eAluminum alloy material, oxidized sandblasting process\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eWheel\u003c\/td\u003e\n\u003ctd\u003e65 mm high friction tire\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eDimensions\u003c\/td\u003e\n\u003ctd\u003e228 mm x 148 mm x 102.15 mm\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e2WD height\u003c\/td\u003e\n\u003ctd\u003e88.5 mm\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e4WD height\u003c\/td\u003e\n\u003ctd\u003e102.15 mm\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eAppearance size\u003c\/td\u003e\n\u003ctd\u003elength \u0026lt; 25 cm, width \u0026lt; 15 cm, height \u0026lt; 15 cm\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eNo-load speed\u003c\/td\u003e\n\u003ctd\u003e1.2 m\/s\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eMaximum load (2WD)\u003c\/td\u003e\n\u003ctd\u003e8 kg\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eMaximum load (4WD)\u003c\/td\u003e\n\u003ctd\u003e10 kg\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eMaximum load (rotation)\u003c\/td\u003e\n\u003ctd\u003e2WD: 8 kg; 4WD: 4 kg\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eMaximum load (straight)\u003c\/td\u003e\n\u003ctd\u003e\u0026gt; 10 kg\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eLoad 1 kg climbing angle\u003c\/td\u003e\n\u003ctd\u003e2WD: 25 degrees; 4WD: 30 degrees\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eWeight\u003c\/td\u003e\n\u003ctd\u003e676.6 g to 1662.9 g (varies depending on selected version)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eRecommended power supply battery\u003c\/td\u003e\n\u003ctd\u003e12 V lithium battery pack\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eEncoder\u003c\/td\u003e\n\u003ctd\u003e11-line Hall AB phase encoder\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/table\u003e\u003ch3\u003eL-type 520 Encoder Motor\u003c\/h3\u003e\u003ctable border=\"1\" cellpadding=\"6\" cellspacing=\"0\"\u003e\n\u003ctr\u003e\n\u003ctd\u003eMotor rated voltage\u003c\/td\u003e\n\u003ctd\u003e12 V\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eRated current\u003c\/td\u003e\n\u003ctd\u003e0.5 A\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eLock current\u003c\/td\u003e\n\u003ctd\u003e4 A\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eGear set reduction ratio\u003c\/td\u003e\n\u003ctd\u003e1:40\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eOutput shaft\u003c\/td\u003e\n\u003ctd\u003eDiameter 6 mm D-type eccentric shaft\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eLock torque\u003c\/td\u003e\n\u003ctd\u003e10 kg*cm\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eRated torque\u003c\/td\u003e\n\u003ctd\u003e4.4 kg*cm\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eSpeed before deceleration\u003c\/td\u003e\n\u003ctd\u003e12000 rpm\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eSpeed after deceleration\u003c\/td\u003e\n\u003ctd\u003e300 rpm ± 5%\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eEncoder type\u003c\/td\u003e\n\u003ctd\u003eAB phase incremental Hall encoder\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eEncoder supply voltage\u003c\/td\u003e\n\u003ctd\u003e3.3 V to 5 V\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eNumber of magnetic ring lines\u003c\/td\u003e\n\u003ctd\u003e11 line\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eInterface type\u003c\/td\u003e\n\u003ctd\u003ePH2.0-6P\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eRated power\u003c\/td\u003e\n\u003ctd\u003e6 W\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eSingle motor weight\u003c\/td\u003e\n\u003ctd\u003e159.2 g\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/table\u003e\u003ch3\u003eMSPM0 Master Control Board (MSPM0G3507)\u003c\/h3\u003e\u003ctable border=\"1\" cellpadding=\"6\" cellspacing=\"0\"\u003e\n\u003ctr\u003e\n\u003ctd\u003eCore\u003c\/td\u003e\n\u003ctd\u003eCortex M0\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eNumber of pin\u003c\/td\u003e\n\u003ctd\u003e48\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eInterface resources\u003c\/td\u003e\n\u003ctd\u003e2 x SPI, 4 x USART, 2 x I2C, 1 x CAN, 32 x I\/OD, 1 x DAC\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eTimer\u003c\/td\u003e\n\u003ctd\u003e7\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eAnalog to digital\u003c\/td\u003e\n\u003ctd\u003e2 x ADC (12-bit\/17-channel)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eSRAM\u003c\/td\u003e\n\u003ctd\u003e32K\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eInternal FLASH\u003c\/td\u003e\n\u003ctd\u003e128k\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eExternal FLASH\u003c\/td\u003e\n\u003ctd\u003e4M\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003ePin package\u003c\/td\u003e\n\u003ctd\u003eLQFP48\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eCompiler tool\u003c\/td\u003e\n\u003ctd\u003eKEIL MDK, CCS, etc.\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eVoltage range (ADC)\u003c\/td\u003e\n\u003ctd\u003eExternal voltage: 1.62 V to 3.6 V; Core voltage: 2.5 V\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eBOOT0 pin\u003c\/td\u003e\n\u003ctd\u003eNo BOOT0 pin\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eMain frequency clock\u003c\/td\u003e\n\u003ctd\u003e80 MHz\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003ePower consumption\u003c\/td\u003e\n\u003ctd\u003eSleep mode: 2.76 mA; Standby mode: 1.5 uA; Operation power consumption: 8 mA\/80 M\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eProgram download\u003c\/td\u003e\n\u003ctd\u003eSWD or serial port one-key download\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eLED\u003c\/td\u003e\n\u003ctd\u003eRed power indicator, custom LED lights*2\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eButton\u003c\/td\u003e\n\u003ctd\u003eReset button, custom button\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eInterface\u003c\/td\u003e\n\u003ctd\u003eSWD debug interface, Type-C interface, LCD display interface\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eDimensions\u003c\/td\u003e\n\u003ctd\u003e18.89 x 51.12 mm\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eWeight\u003c\/td\u003e\n\u003ctd\u003e7 g\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/table\u003e\u003ch3\u003eMSPM0 Robot Expansion Board (Interfaces)\u003c\/h3\u003e\u003ctable border=\"1\" cellpadding=\"6\" cellspacing=\"0\"\u003e\n\u003ctr\u003e\n\u003ctd\u003eMotor drive\u003c\/td\u003e\n\u003ctd\u003e4-channel encoder motor drive interface\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eSerial\u003c\/td\u003e\n\u003ctd\u003eSerial port interface (2 locations)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eIIC\u003c\/td\u003e\n\u003ctd\u003eIIC interface (2 locations)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eVision module\u003c\/td\u003e\n\u003ctd\u003eK210 vision module interface\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eTracking modules\u003c\/td\u003e\n\u003ctd\u003e8-channel tracking module interface; 4-channel tracking module interface; 3-channel tracking module interface\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eServo\u003c\/td\u003e\n\u003ctd\u003eServo interface; reserved 2-channel tPWM servo interface\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eCCD\u003c\/td\u003e\n\u003ctd\u003eCCD module interface\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eElectromagnetic\u003c\/td\u003e\n\u003ctd\u003eElectromagnetic module interface\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eGPIO header\u003c\/td\u003e\n\u003ctd\u003e40Pin GPIO pin header\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003ePower\u003c\/td\u003e\n\u003ctd\u003e5-12 V power input interface; power output interface\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eOther\u003c\/td\u003e\n\u003ctd\u003eSwitch; buzzer; customized button\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/table\u003e\u003ch3\u003e4-Channel Encoder Motor Driver Module\u003c\/h3\u003e\u003ctable border=\"1\" cellpadding=\"6\" cellspacing=\"0\"\u003e\n\u003ctr\u003e\n\u003ctd\u003eMotor interfaces\u003c\/td\u003e\n\u003ctd\u003ePH2.0-6PIN encoder motor interfaces; XH2.54-2PIN DC motor interfaces; Dupont line sockets for encoder motor interfaces\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eCommunication\u003c\/td\u003e\n\u003ctd\u003eSerial communication PH2.0 interface; IIC communication PH2.0 interface; Serial communication Type-C interface\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003ePower input\u003c\/td\u003e\n\u003ctd\u003e5 V to 12 V power input interface\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/table\u003e\u003ch3\u003eOptional Batteries (with corresponding charger)\u003c\/h3\u003e\u003ctable border=\"1\" cellpadding=\"6\" cellspacing=\"0\"\u003e\n\u003ctr\u003e\n\u003ctd\u003eBattery pack\u003c\/td\u003e\n\u003ctd\u003e12 V lithium battery pack\u003c\/td\u003e\n\u003ctd\u003e7.4 V lithium battery pack\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eRated capacity\u003c\/td\u003e\n\u003ctd\u003e4400 mAh\u003c\/td\u003e\n\u003ctd\u003e2000 mAh\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eRated current\u003c\/td\u003e\n\u003ctd\u003e1.3C (6A)\u003c\/td\u003e\n\u003ctd\u003e7.5C (15A)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eCell\u003c\/td\u003e\n\u003ctd\u003e18650\u003c\/td\u003e\n\u003ctd\u003e18650\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eBattery size\u003c\/td\u003e\n\u003ctd\u003e70 x 37 x 55 mm\u003c\/td\u003e\n\u003ctd\u003e67 x 37 x 22 mm\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eWeight\u003c\/td\u003e\n\u003ctd\u003eAbout 300 g\u003c\/td\u003e\n\u003ctd\u003eAbout 115 g\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eDischarge cable length\u003c\/td\u003e\n\u003ctd\u003e30 cm\u003c\/td\u003e\n\u003ctd\u003e15 cm\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eCharge cable length\u003c\/td\u003e\n\u003ctd\u003e15 cm\u003c\/td\u003e\n\u003ctd\u003e10 cm\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eNominal voltage\u003c\/td\u003e\n\u003ctd\u003e11.1 V\u003c\/td\u003e\n\u003ctd\u003e7.4 V\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eMaximum voltage\u003c\/td\u003e\n\u003ctd\u003e12.6 V\u003c\/td\u003e\n\u003ctd\u003e8.5 V\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eCombination method\u003c\/td\u003e\n\u003ctd\u003eThree series and two parallel\u003c\/td\u003e\n\u003ctd\u003eTwo series and one parallel\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eDischarge cut-off\u003c\/td\u003e\n\u003ctd\u003e8.1 V\u003c\/td\u003e\n\u003ctd\u003e5.8 V\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eRated charge current\u003c\/td\u003e\n\u003ctd\u003e0.2C\u003c\/td\u003e\n\u003ctd\u003e0.2C\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eMaximum charge current\u003c\/td\u003e\n\u003ctd\u003e1C\u003c\/td\u003e\n\u003ctd\u003e1C\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eProtection\u003c\/td\u003e\n\u003ctd\u003eOver-charge, over-current, over-discharge, short-circuit protection\u003c\/td\u003e\n\u003ctd\u003eOver-charge, over-current, over-discharge, short-circuit protection\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/table\u003e\u003ch2\u003eWhat's Included\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003eAluminum alloy wheeled car chassis (2-layer structure)\u003c\/li\u003e\n\u003cli\u003eL-type 520 encoder motor(s) and 65 mm tires (2WD \/ 4WD version dependent)\u003c\/li\u003e\n\u003cli\u003eMSPM0 main control board (MSPM0G3507)\u003c\/li\u003e\n\u003cli\u003eMSPM0 robot expansion board\u003c\/li\u003e\n\u003cli\u003e4-channel motor driver board\/module\u003c\/li\u003e\n\u003cli\u003eMounting hardware (M3*6 mm round head screw; M3*20+6 mm single-pass copper column; M3*40+6 mm single-pass copper column)\u003c\/li\u003e\n\u003cli\u003eBattery and charger (optional)\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003eFor selection and integration help (2WD\/4WD and optional battery\/charger), contact \u003ca href=\"https:\/\/rcdrone.top\/\" rel=\"noopener\" target=\"_blank\"\u003ehttps:\/\/rcdrone.top\/\u003c\/a\u003e or email \u003ca href=\"mailto:support@rcdrone.top\"\u003esupport@rcdrone.top\u003c\/a\u003e.\u003c\/p\u003e\u003ch2\u003eApplications\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003eElectronic design competitions\u003c\/li\u003e\n\u003cli\u003eEducational robotics training and rapid prototyping\u003c\/li\u003e\n\u003cli\u003eMaker projects: line tracking (3\/4\/8-channel), IMU-based attitude sensing (MPU6050 \/ 10-axis IMU), and add-on vision modules (K210 \/ K230)\u003c\/li\u003e\n\u003cli\u003eAccessory mounting support for items such as 2DOF electric PTZ, 9G servo\/PTZ, lidar modules (Tmini-Plus lidar, X3 Pro lidar), and 3.5-inch screen (mounting-hole support)\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch2\u003eManuals\u003c\/h2\u003e\u003cp\u003eOfficial tutorial: \u003ca href=\"http:\/\/www.yahboom.net\/study\/wheeled_chassis\" rel=\"noopener\" target=\"_blank\"\u003ehttp:\/\/www.yahboom.net\/study\/wheeled_chassis\u003c\/a\u003e\u003c\/p\u003e\u003cp\u003e\u003ciframe height=\"922\" src=\"https:\/\/www.youtube.com\/embed\/nQNJ_Xp4990\" title=\"Wheeled Car Chassis Kit Aluminum Alloy for Smart Robotic\" width=\"1639\"\u003e\u003c\/iframe\u003e\u003c\/p\u003e\u003ch2 id=\"details\"\u003eDetails\u003c\/h2\u003e\u003cdiv class=\"details-gallery\"\u003e\n\u003cimg alt=\"Yahboom MSPM0 Smart Robot wheeled car chassis kit overview with 2WD\/4WD dimensions and key features\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Yahboom-MSPM0-Smart-Robot-Car-Aluminum-Alloy-Chassis-Kit.jpg?v=1782194122\"\u003e\u003cp\u003eChoose 2WD or 4WD on the same aluminum two-layer chassis footprint, designed for fast robot development and upgrades.\u003c\/p\u003e\n\u003cimg alt=\"Chassis introduction table for 2WD and 4WD versions with 65 mm tires, 12V power, and encoder motor support\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Yahboom-MSPM0-Smart-Robot-Car-Aluminum-Alloy-Chassis-Kit_c34d63f0-0594-4f71-9bd1-b67398fbd0c0.jpg?v=1782194129\"\u003e\u003cp\u003eCore chassis specs at a glance, including wheel size, encoder type, speed, load limits, and overall dimensions.\u003c\/p\u003e\n\u003cimg alt=\"Yahboom MSPM0 Smart Robot kit details for L-type 520 encoder motor, 2WD\/4WD options, and two-layer chassis\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Yahboom-MSPM0-Smart-Robot-Car-Aluminum-Alloy-Chassis-Kit_d163c9db-90dd-4977-b1b4-2ca0fe7d7972.jpg?v=1782194137\"\u003e\u003cp\u003eHigh-precision Hall encoder motors and a rigid alloy frame provide a reliable base for competition and classroom projects.\u003c\/p\u003e\n\u003cimg alt=\"Hardware pack for raising the chassis height with screws and copper standoffs (M3 sizes)\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Yahboom-MSPM0-Smart-Robot-Car-Aluminum-Alloy-Chassis-Kit_6a998462-5301-4a37-bab6-496b3e52bdf4.jpg?v=1782194144\"\u003e\u003cp\u003eOptional standoffs and fasteners help adjust chassis height to fit additional modules and wiring.\u003c\/p\u003e\n\u003cimg alt=\"MSPM0G3507 master control specifications table for Cortex-M0 board with pin count and interface resources\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Yahboom-MSPM0-Smart-Robot-Car-Aluminum-Alloy-Chassis-Kit_81094e16-e762-42fa-a9cb-10fabe8783f7.jpg?v=1782194152\"\u003e\u003cp\u003eMSPM0G3507 core board specs support rapid bring-up with common interfaces for motors, sensors, and peripherals.\u003c\/p\u003e\n\u003cimg alt=\"MSPM0 robot expansion board layout with labeled ports for motors, encoders, sensors, power, and communications\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Yahboom-MSPM0-Smart-Robot-Car-Aluminum-Alloy-Chassis-Kit_f07e88bd-e86e-4fbb-b27e-982258572286.jpg?v=1782194161\"\u003e\u003cp\u003eThe expansion board consolidates motor, encoder, sensor, and power connections to simplify wiring during builds.\u003c\/p\u003e\n\u003cimg alt=\"4-channel encoder motor driver module with numbered connectors and pin description table\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Yahboom-MSPM0-Smart-Robot-Car-Aluminum-Alloy-Chassis-Kit_dab3c76b-cda1-4d4a-a9a9-7a09fd850e77.jpg?v=1782194168\"\u003e\u003cp\u003eA dedicated 4-channel driver supports encoder feedback wiring and stable motor control for 2WD or 4WD setups.\u003c\/p\u003e\n\u003cimg alt=\"Optional 12V and 7.4V lithium battery packs and chargers with capacity comparison table\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Yahboom-MSPM0-Smart-Robot-Car-Aluminum-Alloy-Chassis-Kit_cf0c8fd2-bb37-4abf-950c-4dc59fc25699.jpg?v=1782194175\"\u003e\u003cp\u003ePower options include lithium battery packs and matching chargers for portable testing and field demos.\u003c\/p\u003e\n\u003cimg alt=\"Close-up of L-type 520 motor with wheel, D-type shaft coupling, and 65 mm high-friction tire\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Yahboom-MSPM0-Smart-Robot-Car-Aluminum-Alloy-Chassis-Kit_897ad9d3-7b6b-413e-8243-5025871a9d86.jpg?v=1782194182\"\u003e\u003cp\u003eThe D-shaft coupling and high-friction tires are designed to reduce wheel slip and help prevent tires from loosening.\u003c\/p\u003e\n\u003cimg alt=\"3D render of chassis with accessory mounting examples: camera, sensors, main control board, and motor drivers\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Yahboom-MSPM0-Smart-Robot-Car-Aluminum-Alloy-Chassis-Kit_7ebd8935-a2d5-49b5-92ad-d8c0aef03ad8.jpg?v=1782194190\"\u003e\u003cp\u003eReserved mounting holes make it easy to add vision, tracking, IMU, and driver boards as the project grows.\u003c\/p\u003e\n\u003cimg alt=\"Chassis mounting support for K230 and K210 vision modules with adjustable angle bracket and dimensions\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Yahboom-MSPM0-Smart-Robot-Car-Aluminum-Alloy-Chassis-Kit_6c945183-be2a-4501-a418-6fa964f7cd75.jpg?v=1782194198\"\u003e\u003cp\u003eReserved holes support popular vision modules with an adjustable bracket for camera angle tuning.\u003c\/p\u003e\n\u003cimg alt=\"Accessory support for infrared line tracking modules and MPU6050 or 10-axis IMU module installation positions\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Yahboom-MSPM0-Smart-Robot-Car-Aluminum-Alloy-Chassis-Kit_14702d66-4316-4143-9b4c-37dca9284068.jpg?v=1782194205\"\u003e\u003cp\u003eExpand with line tracking or IMU modules for navigation, attitude sensing, and closed-loop motion experiments.\u003c\/p\u003e\n\u003cimg alt=\"2DOF electric PTZ gimbal mounted on robot chassis for camera or sensor tracking expansion\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Yahboom-MSPM0-Smart-Robot-Car-Aluminum-Alloy-Chassis-Kit_2cbe277b-ebcf-436d-80e0-db6e6e9cf012.jpg?v=1782194212\"\u003e\u003cp\u003eA 2DOF PTZ mount adds pan\/tilt capability for camera-based tracking and inspection tasks.\u003c\/p\u003e\n\u003cimg alt=\"Chassis hole diagram mapping reserved mounting positions for sensors, boards, brackets, and motor hardware\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Yahboom-MSPM0-Smart-Robot-Car-Aluminum-Alloy-Chassis-Kit_6f651e7c-928b-4874-9f83-57c08a427c3a.jpg?v=1782194219\"\u003e\u003cp\u003eHole maps help plan component placement before assembly, especially for multi-sensor builds.\u003c\/p\u003e\n\u003cimg alt=\"Banner text stating the chassis supports a wide range of accessories\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Yahboom-MSPM0-Smart-Robot-Car-Aluminum-Alloy-Chassis-Kit_bbad6a21-8594-42a5-b320-06a3a53d719c.jpg?v=1782194227\"\u003e\u003cimg alt=\"Optional servo and servo driver accessories selection for the robot chassis platform\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Yahboom-MSPM0-Smart-Robot-Car-Aluminum-Alloy-Chassis-Kit_08ca887d-07bf-4ad1-a16f-803126b1cde8.jpg?v=1782194235\"\u003e\u003cimg alt=\"Yahboom MSPM0 Smart Robot Car Aluminum Alloy Chassis Kit\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Yahboom-MSPM0-Smart-Robot-Car-Aluminum-Alloy-Chassis-Kit_3be21fc2-47bb-4781-bedb-ddc1f548a8e5.jpg?v=1782194241\"\u003e\u003cimg alt=\"Optional remote control accessories including IR remote and gamepad controller\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Yahboom-MSPM0-Smart-Robot-Car-Aluminum-Alloy-Chassis-Kit_c3648275-058b-4d2c-81d1-68dc56862a2c.jpg?v=1782194248\"\u003e\u003cimg alt=\"Grid of smart robot sensor modules including ultrasonic distance sensor, camera module, and small interface boards\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Yahboom-MSPM0-Smart-Robot-Car-Aluminum-Alloy-Chassis-Kit_f759e3f5-5ade-4729-a238-2d4fbc849c9b.jpg?v=1782194256\"\u003e\u003cp\u003eA selection of sensor modules, including an ultrasonic distance sensor and a small camera, expands the Yahboom MSPM0 smart robot’s sensing options.\u003c\/p\u003e\n\u003cimg alt=\"Yahboom MSPM0 smart robot camera\/visual module with display screen and small camera unit\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Yahboom-MSPM0-Smart-Robot-Car-Aluminum-Alloy-Chassis-Kit_2b210d76-505a-4ab7-9452-dd5d4a8c2306.jpg?v=1782194263\"\u003e\u003cp\u003eThe MSPM0 smart robot supports a camera\/visual module setup with a display screen and compact camera unit for vision-based projects.\u003c\/p\u003e\n\u003cimg alt=\"Specification diagram for Yahboom MSPM0 smart robot wheeled car chassis plates with 228mm length and 2mm thickness\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Yahboom-MSPM0-Smart-Robot-Car-Aluminum-Alloy-Chassis-Kit_599f27de-58ed-45a2-9653-9e30bbd62d0d.jpg?v=1782194270\"\u003e\u003cp\u003eThe aluminum alloy wheeled car chassis uses 2mm-thick plates sized 148×228mm (upper) and 110×228mm (lower), with listed weights of 133.3g and 100g.\u003c\/p\u003e\n\u003cimg alt=\"4-channel encoder motor driver module spec diagram showing connector layout, dimensions (56×56×13.4 mm) and VM 5–12V\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Yahboom-MSPM0-Smart-Robot-Car-Aluminum-Alloy-Chassis-Kit_3132fc87-42b4-4844-b698-ab6273c127bd.jpg?v=1782194278\"\u003e\u003cp\u003eThe 4-channel encoder motor driver module includes a labeled connector layout and key specs like 56×56×13.4 mm size and a 5–12V motor power input.\u003c\/p\u003e\n\u003cimg alt=\"Dimension diagram of MSPM0 development board (51×19 mm) and L-type 520 encoder DC motor with mounting measurements\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Yahboom-MSPM0-Smart-Robot-Car-Aluminum-Alloy-Chassis-Kit_cb365e99-29c3-42ce-9c82-20ef4cfb580e.jpg?v=1782194286\"\u003e\u003cp\u003eThe MSPM0 development board measures about 51 × 19 mm, and the L-type 520 encoder DC motor drawing provides key mounting and body dimensions for fitting into a robot build.\u003c\/p\u003e\n\u003cimg alt=\"MSPM0 robot expansion board specification diagram with connector layout, 100.45×64.18×14 mm dimensions and 5–12 V power input.\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Yahboom-MSPM0-Smart-Robot-Car-Aluminum-Alloy-Chassis-Kit_52d25685-e7df-473e-b3cf-5a10f04785a0.jpg?v=1782194294\"\u003e\u003cp\u003eThe MSPM0 robot expansion board uses 5–12 V power input and provides a 40‑pin GPIO interface in a 100.45×64.18×14 mm form factor.\u003c\/p\u003e\n\u003cimg alt=\"12V lithium battery charger AC\/DC adapter with 1.12m cable and DC 4.0×1.7mm plug, DC 12.6V 2A output\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Yahboom-MSPM0-Smart-Robot-Car-Aluminum-Alloy-Chassis-Kit_8ef2204c-b380-4d0b-a86d-d1de1145cc44.jpg?v=1782194301\"\u003e\u003cp\u003eThe 12V lithium battery charger includes an AC 100–240V input adapter with DC 12.6V, 2A output and a DC 4.0×1.7mm connector for straightforward charging.\u003c\/p\u003e\n\u003cimg alt=\"Course outline table for the Yahboom MSPM0 smart robot kit, listing chapters and lesson topics in columns\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Yahboom-MSPM0-Smart-Robot-Car-Aluminum-Alloy-Chassis-Kit_9a79cdba-9be0-4457-ad94-6c50e8a97055.jpg?v=1782194308\"\u003e\u003cp\u003eThe course outline breaks learning into chapters and lesson topics to guide setup, programming, and hands-on robot projects.\u003c\/p\u003e\n\u003cimg alt=\"Gift information screen with tutorial download folders for Yahboom MSPM0 smart robot chassis, motor driver, and RCDrone\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Yahboom-MSPM0-Smart-Robot-Car-Aluminum-Alloy-Chassis-Kit_39c2c993-74ea-4dec-8828-b096a505ed9a.jpg?v=1782194315\"\u003e\u003cp\u003eYahboom MSPM0 Smart Robot resources include organized tutorial download folders for the chassis, 4-channel motor drive module, and RCDrone.\u003c\/p\u003e\n\u003cimg alt=\"Resource page for Yahboom MSPM0 smart robot with MCU routine files, documentation downloads, and 3D model assets\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Yahboom-MSPM0-Smart-Robot-Car-Aluminum-Alloy-Chassis-Kit_fc1ae2a9-90ea-4227-83f4-343fe9a224f7.jpg?v=1782194325\"\u003e\u003cp\u003eYahboom MSPM0 smart robot resources include downloadable routine code, documentation files, and 3D model assets for building and programming.\u003c\/p\u003e\n\u003cimg alt=\"Yahboom smart robot Bluetooth remote control app screen with iOS and Android support and usage examples\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Yahboom-MSPM0-Smart-Robot-Car-Aluminum-Alloy-Chassis-Kit_e2fe8038-b11c-426c-b282-beb5136e736c.jpg?v=1782194335\"\u003e\u003cp\u003eThe Yahboom MSPM0 smart robot supports a Bluetooth remote control app for iOS and Android, with an on-screen joystick and control buttons.\u003c\/p\u003e\n\u003cimg alt=\"Shipping list for Yahboom MSPM0 smart robot kit with chassis parts, MSPM0G3507 board, cables, and motor driver\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Yahboom-MSPM0-Smart-Robot-Car-Aluminum-Alloy-Chassis-Kit_4598e5b7-3a20-4727-a1c0-4463759a7a22.jpg?v=1782194343\"\u003e\u003cp\u003eThe shipping list details the included robot car chassis parts, MSPM0G3507 expansion board, Type-C cable, and 4-channel motor driver module, with optional wheel and battery packs.\u003c\/p\u003e\n\u003c\/div\u003e","brand":"Yahboom","offers":[{"title":"Two-wheel drive \/ Without battery","offer_id":53137868226784,"sku":"6000200702-1","price":87.8,"currency_code":"USD","in_stock":true},{"title":"Two-wheel drive \/ With battery","offer_id":53137868259552,"sku":"6000200702-2","price":99.8,"currency_code":"USD","in_stock":true},{"title":"Four-wheel drive \/ Without battery","offer_id":53137868292320,"sku":"6000200702-3","price":111.8,"currency_code":"USD","in_stock":true},{"title":"Four-wheel drive \/ With battery","offer_id":53137868325088,"sku":"6000200702-4","price":123.8,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0643\/3210\/3904\/files\/YahboomSmartRobotCarChassisKit_01.jpg?v=1782139301"},{"product_id":"yahboom-mspm0-robot","title":"Yahboom MSPM0G3507 Smart Robot Car Kit (MSPM0 Smart Robot Car) with Sensors, OLED \u0026 Expansion","description":"\u003ch2\u003eOverview\u003c\/h2\u003e\u003cp\u003eThe Yahboom MSPM0 Smart Robot Car is a smart robot car platform based on the TI MSPM0G3507 main control chip. It is designed for embedded learning, electronic engineering practice, and competition-oriented experimentation, with onboard sensor modules and reserved expansion interfaces for advanced development.\u003c\/p\u003e\u003ch2\u003eKey Features\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003eMSPM0G3507 main control:\u003c\/strong\u003e MSPM0G3507 integrated on the car control board together with power supply, drive, and programming circuits.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eModular sensor integration:\u003c\/strong\u003e Supports multiple sensor applications and direct module insertion; sensor interfaces support reverse-connection-protected ribbon cable connections.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eMulti-version options:\u003c\/strong\u003e Basic\/Standard, Advanced, K210 Superior, and K230 Superior configurations (shipping contents vary by version).\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eOnboard programming and debug:\u003c\/strong\u003e One-click programming and SWD debugging interfaces.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eCourse materials:\u003c\/strong\u003e Provides tutorials and reference code covering sensor data acquisition, motor PID control, image processing, and MSPM0 development basics.\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch2\u003eFunctions\u003c\/h2\u003e\u003ch3\u003eBasic functions (all versions)\u003c\/h3\u003e\u003cul\u003e\n\u003cli\u003eOLED screen\u003c\/li\u003e\n\u003cli\u003eBuzzer whistle\u003c\/li\u003e\n\u003cli\u003eControl light\u003c\/li\u003e\n\u003cli\u003eInfrared remote control data detection\u003c\/li\u003e\n\u003cli\u003eUltrasonic data detection\u003c\/li\u003e\n\u003cli\u003eVoltage detection\u003c\/li\u003e\n\u003cli\u003ePhotosensitive data detection\u003c\/li\u003e\n\u003cli\u003eMPU6050 data fusion\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch3\u003eExpanded functions (all versions)\u003c\/h3\u003e\u003cul\u003e\n\u003cli\u003eUltrasonic ranging (example shown: 25 cm)\u003c\/li\u003e\n\u003cli\u003eUltrasonic following\/avoid\u003c\/li\u003e\n\u003cli\u003eInfrared remote control\u003c\/li\u003e\n\u003cli\u003eInfrared avoid\u003c\/li\u003e\n\u003cli\u003eLight following\u003c\/li\u003e\n\u003cli\u003eHigh-precision infrared line tracking\u003c\/li\u003e\n\u003cli\u003eUltrasonic PTZ avoid (only for Advanced version)\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch3\u003eVision recognition and interaction\u003c\/h3\u003e\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003eK210 Superior Kit (vision):\u003c\/strong\u003e Digital recognition command actions; Color recognition\/following; Machine code following; Executing QR code commands; Autonomous driving road sign recognition; Autonomous driving visual line tracking\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eK230 Superior Kit (vision):\u003c\/strong\u003e Autonomous avoid; License plate tracking; Face tracking; Gaze direction following; Palm tracking; Target tracking; Human body following; OCR character recognition\/motion recognition\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch3\u003eVoice interaction (reserved interface)\u003c\/h3\u003e\u003cul\u003e\n\u003cli\u003eReserved interface for a voice module, supporting integration of an AI voice interaction module for voice control of motors, speakers, RGB lights, and line following functions.\u003c\/li\u003e\n\u003cli\u003eCombined with the K230 vision module, it can be expanded to include voice-control face tracking and color response applications.\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch3\u003eBT remote control (module interface)\u003c\/h3\u003e\u003cul\u003e\n\u003cli\u003eBT module interface provided; supports BT 5.0.\u003c\/li\u003e\n\u003cli\u003eDedicated app included for controlling car movement, lights, buzzer, line tracking, obstacle avoidance, following, and light following by mobile phone.\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch2\u003eConfiguration Differences\u003c\/h2\u003e\u003ctable border=\"1\" cellpadding=\"6\" cellspacing=\"0\"\u003e\n\u003ctr\u003e\n\u003cth\u003eVersion\u003c\/th\u003e\n\u003cth\u003eHardware configuration\u003c\/th\u003e\n\u003cth\u003eNotes \/ Features\u003c\/th\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eStandard Kit\u003c\/td\u003e\n\u003ctd\u003eCar body; MPU6050; Infrared remote control; OLED screen; 4-channel line tracking module; Ultrasonic module\u003c\/td\u003e\n\u003ctd\u003eFor learning MSPM0 programming and sensor applications; supports PID motion parameter tuning, IMU attitude angle adjustment, infrared remote control, infrared line following, and ultrasonic obstacle avoidance.\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eAdvanced Kit\u003c\/td\u003e\n\u003ctd\u003eCar body; MPU6050; Infrared remote control; OLED screen; 8-channel line tracking module; Ultrasonic PTZ\u003c\/td\u003e\n\u003ctd\u003eHigher precision infrared line tracking; servo motor PTZ control; ultrasonic obstacle avoidance with PTZ.\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eK210 Superior Kit\u003c\/td\u003e\n\u003ctd\u003eCar body; MPU6050; Infrared remote control; OLED screen; Ultrasonic module; 8-channel line tracking module; K210 vision module; Angle adjustable bracket (pre-assembled)\u003c\/td\u003e\n\u003ctd\u003eVisual recognition and visual line following; can combine vision and line following for scenario-based autonomous driving.\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eK230 Superior Kit\u003c\/td\u003e\n\u003ctd\u003eCar body; MPU6050; Infrared remote control; OLED screen; Ultrasonic module; 8-channel line tracking module; K230 vision module; Angle adjustable bracket (can be pre-assembled)\u003c\/td\u003e\n\u003ctd\u003eMore visual features (including character recognition, gesture control, and license plate tracking) with a higher image processing frame rate.\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/table\u003e\u003ch2\u003eSpecifications\u003c\/h2\u003e\u003ctable border=\"1\" cellpadding=\"6\" cellspacing=\"0\"\u003e\n\u003ctr\u003e\n\u003cth\u003eItem\u003c\/th\u003e\n\u003cth\u003eSpecification\u003c\/th\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eMain control\u003c\/td\u003e\n\u003ctd\u003eTI MSPM0G3507\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eIMU \/ angle sensor\u003c\/td\u003e\n\u003ctd\u003eMPU6050\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eDisplay\u003c\/td\u003e\n\u003ctd\u003eOLED screen\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eLine tracking\u003c\/td\u003e\n\u003ctd\u003e4-channel infrared line tracking (Standard Kit); 8-channel infrared line tracking (Advanced\/K210\/K230 kits)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eDistance sensing\u003c\/td\u003e\n\u003ctd\u003eUltrasonic module (Ultrasonic PTZ in Advanced Kit)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eRemote control\u003c\/td\u003e\n\u003ctd\u003eInfrared remote control\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eBattery\u003c\/td\u003e\n\u003ctd\u003e7.4V 2000mAh battery\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eProgramming \/ debug\u003c\/td\u003e\n\u003ctd\u003eOnboard programming circuit; reserved SWD debugging port\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eMotor\u003c\/td\u003e\n\u003ctd\u003eTT motor with encoder\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eBody\u003c\/td\u003e\n\u003ctd\u003eAluminum alloy body\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eDimensions (as labeled in the product diagram)\u003c\/td\u003e\n\u003ctd\u003e\n      Standard Kit: 190 mm, 146 mm, 94.4 mm\u003cbr\u003e\n      Advanced Kit: 147.85 mm\u003cbr\u003e\n      K210 Superior Kit: 160.7 mm\u003cbr\u003e\n      K230 Superior Kit: 167.5 mm\n    \u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/table\u003e\u003ch2\u003eTeaching Materials\u003c\/h2\u003e\u003ch3\u003eBasic course outline\u003c\/h3\u003e\u003cul\u003e\n\u003cli\u003eLED light control (GPIO)\u003c\/li\u003e\n\u003cli\u003eBuzzer control (GPIO)\u003c\/li\u003e\n\u003cli\u003eButton control (EXTI)\u003c\/li\u003e\n\u003cli\u003eSerial port (UART)\u003c\/li\u003e\n\u003cli\u003eVoltage detection (ADC)\u003c\/li\u003e\n\u003cli\u003eTemperature detection (ADC)\u003c\/li\u003e\n\u003cli\u003eIndependent Watchdog (IWDG)\u003c\/li\u003e\n\u003cli\u003eWindow Watchdog (WWDG)\u003c\/li\u003e\n\u003cli\u003eTimer (TIM)\u003c\/li\u003e\n\u003cli\u003eI2C Communication (IIC)\u003c\/li\u003e\n\u003cli\u003eExternal Flash (SPI)\u003c\/li\u003e\n\u003cli\u003eInternal Flash (Flash)\u003c\/li\u003e\n\u003cli\u003eDMA\u003c\/li\u003e\n\u003cli\u003eFreeRTOS\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch3\u003eAdvanced course outline (as listed)\u003c\/h3\u003e\u003cul\u003e\n\u003cli\u003eK230 vision line tracking\u003c\/li\u003e\n\u003cli\u003eK230 color tracking\u003c\/li\u003e\n\u003cli\u003eK230 machine code tracking\u003c\/li\u003e\n\u003cli\u003eK230 QR code command\u003c\/li\u003e\n\u003cli\u003eK230 autonomous avoid\u003c\/li\u003e\n\u003cli\u003eK230 license plate tracking\u003c\/li\u003e\n\u003cli\u003eK230 face tracking\u003c\/li\u003e\n\u003cli\u003eK230 gaze direction tracking\u003c\/li\u003e\n\u003cli\u003eK230 palm tracking\u003c\/li\u003e\n\u003cli\u003eK230 target tracking\u003c\/li\u003e\n\u003cli\u003eK230 human body tracking\u003c\/li\u003e\n\u003cli\u003eK230 OCR character recognition\u003c\/li\u003e\n\u003cli\u003eMPU6050 raw data acquisition\u003c\/li\u003e\n\u003cli\u003eMPU6050 data acquisition\u003c\/li\u003e\n\u003cli\u003eGyroscope calibration for straight line walking\u003c\/li\u003e\n\u003cli\u003eMotor PID control\u003c\/li\u003e\n\u003cli\u003eK210 autonomous driving\u003c\/li\u003e\n\u003cli\u003eK210 color tracking\u003c\/li\u003e\n\u003cli\u003eK210 handwritten digit action\u003c\/li\u003e\n\u003cli\u003eK210 color response\u003c\/li\u003e\n\u003cli\u003eK210 road sign indication action\u003c\/li\u003e\n\u003cli\u003eK210 following machine code\u003c\/li\u003e\n\u003cli\u003eK210 QR code command\u003c\/li\u003e\n\u003cli\u003eInfrared line tracking sensor\u003c\/li\u003e\n\u003cli\u003eCar line tracking\u003c\/li\u003e\n\u003cli\u003eDrawing a circle\u003c\/li\u003e\n\u003cli\u003eAutonomous driving car\u003c\/li\u003e\n\u003cli\u003eScenario-based autonomous driving\u003c\/li\u003e\n\u003cli\u003eUltrasonic ranging\u003c\/li\u003e\n\u003cli\u003eUltrasonic following\u003c\/li\u003e\n\u003cli\u003eUltrasonic avoid\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch2\u003eTutorial Link\u003c\/h2\u003e\u003cp\u003e\u003ca href=\"https:\/\/www.yahboom.net\/study\/MSPM0-SmartCar\" rel=\"noopener\" target=\"_blank\"\u003eYahboom MSPM0 smart robot car tutorial\u003c\/a\u003e\u003c\/p\u003e\u003carticle class=\"4ever-article\"\u003e\u003ciframe height=\"420\" src=\"https:\/\/www.youtube.com\/embed\/zxc80DWTYrE\" title=\"Yahboom MSPM0 smart robot car based on MSPM0G3507\" width=\"600\"\u003e\u003c\/iframe\u003e\u003c\/article\u003e\u003carticle class=\"4ever-article\"\u003e\u003ciframe height=\"695\" src=\"https:\/\/www.youtube.com\/embed\/tpF-hGggCmI\" title=\"Your Journey to Embedded Systems Starts Here! Yahboom MSPM0 Smart Car\" width=\"1236\"\u003e\u003c\/iframe\u003e\u003c\/article\u003e\u003ch2\u003eSupport\u003c\/h2\u003e\u003cp\u003eFor version selection guidance (Standard\/Advanced\/K210\/K230) and pre-sales questions, contact support@rcdrone.top or visit https:\/\/rcdrone.top\/.\u003c\/p\u003e\u003ch2 id=\"details\"\u003eDetails\u003c\/h2\u003e\u003cdiv class=\"details-gallery\"\u003e\n\u003cimg alt=\"Yahboom MSPM0G3507 Smart Robot car kits overview, with Standard, Advanced, K210 Superior, and K230 Superior options\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Yahboom-MSPM0-smart-robot-car-based-on-MSPM0G3507.jpg?v=1782193056\"\u003e\u003cp\u003eChoose from multiple kit configurations, from a core competition-ready chassis to AI vision–enabled versions for advanced projects.\u003c\/p\u003e\n\u003cimg alt=\"MSPM0 smart robot car feature overview: expandable sensors, AI vision add-ons, course materials, and after-sales support\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Yahboom-MSPM0-smart-robot-car-based-on-MSPM0G3507_77ec7bd5-e9c4-4690-a0aa-d830a925a4be.jpg?v=1782193063\"\u003e\u003cp\u003eA modular sensor ecosystem and progressive learning path make it easy to start basic tasks and expand into vision applications.\u003c\/p\u003e\n\u003cimg alt=\"Product introduction slide for MSPM0 robot car, with classroom track demo and participants with blurred faces\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Yahboom-MSPM0-smart-robot-car-based-on-MSPM0G3507_e7fb1f6c-0f70-42c9-a768-35544e758aac.jpg?v=1782193072\"\u003e\u003cp\u003eBuilt for embedded learning and competition practice, with tutorials covering sensors, motor control, and development workflows.\u003c\/p\u003e\n\u003cimg alt=\"Configuration differences table comparing Standard, Advanced, K210 Superior, and K230 Superior kit hardware and features\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Yahboom-MSPM0-smart-robot-car-based-on-MSPM0G3507_7d51ef8a-f9f3-4e1b-9500-b622132c3030.jpg?v=1782193079\"\u003e\u003cp\u003eCompare hardware inclusions across versions to match your needs for line tracking, ultrasonic modules, and optional AI vision.\u003c\/p\u003e\n\u003cimg alt=\"Close-up of control board highlighting onboard MSPM0G3507 MCU, power and motor driver circuits, and sensor connectors\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Yahboom-MSPM0-smart-robot-car-based-on-MSPM0G3507_25219e12-33fa-4ca0-9aac-50362d63b5f1.jpg?v=1782193086\"\u003e\u003cp\u003eAn integrated control board combines the MCU, power, drive, and programming interfaces to simplify wiring and expansion.\u003c\/p\u003e\n\u003cimg alt=\"Course roadmap graphic for the MSPM0 robot car, listing basic and advanced topics like PID motor control and sensors\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Yahboom-MSPM0-smart-robot-car-based-on-MSPM0G3507_6ed80776-acd4-4a22-9812-ce34c1c4dfa4.jpg?v=1782193093\"\u003e\u003cp\u003eCourse materials progress from fundamentals to higher-level modules, supporting step-by-step skill building.\u003c\/p\u003e\n\u003cimg alt=\"Robot car with callouts for OLED screen, MPU6050, optional K210\/K230 vision module, ultrasonic, and sensor interfaces\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Yahboom-MSPM0-smart-robot-car-based-on-MSPM0G3507_2e565dcd-5e62-4150-b7f0-7cb46ee54294.jpg?v=1782193102\"\u003e\u003cp\u003eMultiple onboard and optional modules connect through reserved interfaces for quick sensor swaps and upgrades.\u003c\/p\u003e\n\u003cimg alt=\"Basic functions collage: OLED display, buzzer, lights, infrared remote data, ultrasonic, voltage, photosensitive, MPU6050\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Yahboom-MSPM0-smart-robot-car-based-on-MSPM0G3507_0c101e94-3590-4870-91f1-1e152195b336.jpg?v=1782193110\"\u003e\u003cp\u003eCore functions include display, sound, lighting, and common sensor inputs such as ultrasonic distance and IMU fusion.\u003c\/p\u003e\n\u003cimg alt=\"Expanded functions collage: ultrasonic ranging and follow\/avoid, infrared control\/avoid, light following, line tracking\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Yahboom-MSPM0-smart-robot-car-based-on-MSPM0G3507_6644f2de-6dfd-4b95-8230-f91bab660d65.jpg?v=1782193118\"\u003e\u003cp\u003eAdd behaviors like obstacle avoidance, following, and high-precision line tracking using the included sensor modules.\u003c\/p\u003e\n\u003cimg alt=\"K210 vision recognition examples for robot car: digit and color recognition, QR commands, road signs, visual line tracking\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Yahboom-MSPM0-smart-robot-car-based-on-MSPM0G3507_7d898bc8-54fe-4cf4-be48-a14ac606847d.jpg?v=1782193126\"\u003e\u003cp\u003eK210 vision features enable recognition-based interactions such as color following, QR command execution, and visual tracking.\u003c\/p\u003e\n\u003cimg alt=\"K230 vision recognition examples: autonomous avoid, license plate tracking, face\/gaze\/palm\/target tracking, OCR, body follow\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Yahboom-MSPM0-smart-robot-car-based-on-MSPM0G3507_77ad59bb-862a-4620-b49b-e50db3af279e.jpg?v=1782193135\"\u003e\u003cp\u003eK230 vision expands into tracking and OCR-style tasks for more interactive autonomy in advanced learning scenarios.\u003c\/p\u003e\n\u003cimg alt=\"Voice interaction feature page: voice control for movement, line tracking, face tracking, and color-triggered actions\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Yahboom-MSPM0-smart-robot-car-based-on-MSPM0G3507_f4d2aca4-2d99-44bd-a384-a0d97f4020f5.jpg?v=1782193143\"\u003e\u003cp\u003eA reserved voice-module interface supports voice control of motion and functions, with additional capabilities in vision builds.\u003c\/p\u003e\n\u003cimg alt=\"AI voice interaction module purchase banner with small voice board image and call-to-action text\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Yahboom-MSPM0-smart-robot-car-based-on-MSPM0G3507.webp?v=1782193150\"\u003e\u003cimg alt=\"Bluetooth remote control support page with phone app interface controlling robot car movement, lights, and functions\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Yahboom-MSPM0-smart-robot-car-based-on-MSPM0G3507_f42b5867-a79d-4d43-83bb-0b0c8ba699a7.jpg?v=1782193157\"\u003e\u003cp\u003eControl driving and key functions from a mobile app via the optional Bluetooth module interface.\u003c\/p\u003e\n\u003cimg alt=\"Bluetooth 5.0 module purchase banner with BT module image and call-to-action text\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Yahboom-MSPM0-smart-robot-car-based-on-MSPM0G3507_ae7b50ff-a20f-4bae-b5da-22dd4eca95e1.webp?v=1782193164\"\u003e\u003cimg alt=\"Infrared and grayscale line tracking support page with 4-channel and 8-channel modules on different track colors\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Yahboom-MSPM0-smart-robot-car-based-on-MSPM0G3507_e84e3ed0-25fa-4f67-81a7-980c91255eca.jpg?v=1782193173\"\u003e\u003cp\u003eLine-tracking options support both infrared and grayscale sensing for different track styles and classroom setups.\u003c\/p\u003e\n\u003cimg alt=\"4-channel infrared line tracking module purchase banner with module image and call-to-action text\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Yahboom-MSPM0-smart-robot-car-based-on-MSPM0G3507_a442f1a9-c72a-4e58-a3a6-7bf092f126ec.webp?v=1782193179\"\u003e\u003cimg alt=\"Yahboom MSPM0 smart robot car based on MSPM0G3507\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Yahboom-MSPM0-smart-robot-car-based-on-MSPM0G3507_3cd208f5-90cd-4388-a60c-7637d307bdd7.webp?v=1782193186\"\u003e\u003cimg alt=\"Yahboom MSPM0G3507 smart robot car demonstrating autonomous driving scenes like sign recognition and line tracking\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Yahboom-MSPM0-smart-robot-car-based-on-MSPM0G3507_cc942d90-6af4-4671-aff5-1d4f6de2e4e1.jpg?v=1782193195\"\u003e\u003cp\u003eThe Yahboom MSPM0G3507 smart robot supports scenario-based autonomous driving tasks like traffic light and speed limit recognition, steering decisions, reversing into parking, and infrared line tracking.\u003c\/p\u003e\n\u003cimg alt=\"Banner offering an autonomous driving track map add-on for Yahboom smart robot, with click to purchase text\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Yahboom-MSPM0-smart-robot-car-based-on-MSPM0G3507_d96e6acc-4eff-4818-9817-1702a424db98.webp?v=1782193201\"\u003e\u003cp\u003eAn optional autonomous driving track map add-on is available for compatible Yahboom smart robot projects.\u003c\/p\u003e\n\u003cimg alt=\"Yahboom MSPM0G3507 smart robot car kit with camera module, control board, and multiple expansion accessories\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Yahboom-MSPM0-smart-robot-car-based-on-MSPM0G3507_2d08269a-db6f-4d8f-a298-0877304d55f2.jpg?v=1782193209\"\u003e\u003cp\u003eThe Yahboom MSPM0G3507 smart robot supports a wide range of add-on modules, with expansion accessories available to purchase individually.\u003c\/p\u003e\n\u003cimg alt=\"Camera\/visual module for Yahboom MSPM0G3507 smart robot, with camera sensor board and small display board\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Yahboom-MSPM0-smart-robot-car-based-on-MSPM0G3507_b206a1c6-5b2e-4a01-b348-a3be65eadc79.jpg?v=1782193216\"\u003e\u003cp\u003eThe Yahboom camera\/visual module adds a compact camera board and display board for basic vision and monitoring during robot projects.\u003c\/p\u003e\n\u003cimg alt=\"MIC\/Voice module board with round microphone grille and printed electronics icons\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Yahboom-MSPM0-smart-robot-car-based-on-MSPM0G3507_ed1c9b62-0eed-4a07-bd4c-a6c15a35483f.jpg?v=1782193222\"\u003e\u003cp\u003eThe MIC\/Voice module adds a compact microphone board for voice input in compatible robot projects.\u003c\/p\u003e\n\u003cimg alt=\"Bluetooth communication module with antenna and pin header for Yahboom MSPM0G3507 smart robot\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Yahboom-MSPM0-smart-robot-car-based-on-MSPM0G3507_bdc4660d-9b16-4ada-8f15-4f286f7469bf.jpg?v=1782193230\"\u003e\u003cp\u003eThe Bluetooth communication module provides a compact add-on for wireless connection to the Yahboom MSPM0G3507 smart robot.\u003c\/p\u003e\n\u003cimg alt=\"Sensor\/electronic module boards with pin headers and connectors, shown as accessory parts for a smart robot kit\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Yahboom-MSPM0-smart-robot-car-based-on-MSPM0G3507_4adedba2-6f4b-44c3-8bf1-03c397ea226d.jpg?v=1782193237\"\u003e\u003cp\u003eSensor and electronic module boards with pin-header connectors help expand a smart robot build with add-on inputs and controls.\u003c\/p\u003e\n\u003cimg alt='Servo PTZ pan-tilt module thumbnail with ultrasonic sensor and servo mount, labeled \"05 Servo PTZ\"' loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Yahboom-MSPM0-smart-robot-car-based-on-MSPM0G3507_e0853ad5-d708-4e0b-821c-9d9dc237343d.jpg?v=1782193243\"\u003e\u003cp\u003eThe Servo PTZ pan-tilt module provides a simple mount for turning an ultrasonic sensor left and right for scanning.\u003c\/p\u003e\n\u003cimg alt=\"Screenshot of a TrackMap section with a small circuit-style map icon and a “Click to buy” button\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Yahboom-MSPM0-smart-robot-car-based-on-MSPM0G3507_91e2b100-0a23-426f-9f33-f898a18dd950.jpg?v=1782193250\"\u003e\u003cimg alt=\"Exploded view of Yahboom MSPM0G3507 smart robot car kit with ultrasonic sensor, OLED screen, wheels and battery pack\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Yahboom-MSPM0-smart-robot-car-based-on-MSPM0G3507_920fff7a-7a39-441f-8c24-208838ade947.jpg?v=1782193259\"\u003e\u003cp\u003eThe Yahboom MSPM0G3507 smart robot kit includes an ultrasonic module, OLED display, MPU6050 sensor module, encoder motors, and a 7.4V battery pack for assembly.\u003c\/p\u003e\n\u003cimg alt=\"Yahboom smart robot gift information screen with tutorial link and course materials list for MSPM0 Smart Car\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Yahboom-MSPM0-smart-robot-car-based-on-MSPM0G3507_006d6f99-f329-478f-a66c-11f28133ff2d.jpg?v=1782193267\"\u003e\u003cp\u003eYahboom’s MSPM0 Smart Car kit includes a tutorial link and a detailed course materials list to support setup and learning.\u003c\/p\u003e\n\u003cimg alt=\"Screenshot of Yahboom MSPM0G3507 smart robot tutorials and code folders for MSPM0, sensors, and smart car projects\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Yahboom-MSPM0-smart-robot-car-based-on-MSPM0G3507_cbbc8980-9b90-4c65-a05a-4a65c45da9e0.jpg?v=1782193274\"\u003e\u003cp\u003eYahboom MSPM0G3507 smart robot resources are organized into clearly labeled tutorial and code folders for MSPM0 basics, sensors, and smart car projects.\u003c\/p\u003e\n\u003cimg alt=\"Yahboom MSPM0G3507 smart robot kit resources showing vision course folders, support docs, and 3D model file download\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Yahboom-MSPM0-smart-robot-car-based-on-MSPM0G3507_8f750052-55e3-4f92-99b5-2091ed3dd144.jpg?v=1782193282\"\u003e\u003cp\u003eYahboom MSPM0G3507 smart robot resources include vision application course materials, professional after-sales technical support, and downloadable 3D model files.\u003c\/p\u003e\n\u003cimg alt=\"Yahboom MSPM0G3507 smart robot control board with labeled ports for motors, servos, sensors, USB and battery\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Yahboom-MSPM0-smart-robot-car-based-on-MSPM0G3507_4ee09d5c-1a83-4cdb-9426-25f2799187ce.jpg?v=1782193291\"\u003e\u003cp\u003eThe MSPM0G3507 control board provides clearly marked interfaces for motors, servos, common sensors, USB programming, and battery power connections.\u003c\/p\u003e\n\u003cimg alt=\"Product parameters table for Yahboom MSPM0G3507 smart robot car kit with chip, sensors, motor specs, and power details\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Yahboom-MSPM0-smart-robot-car-based-on-MSPM0G3507_18c3919c-b25e-4910-811d-03c792d5d317.jpg?v=1782193298\"\u003e\u003cp\u003eThe MSPM0G3507 smart robot car lists key components like RGB lights, OLED screen, multiple sensors, and a 7.4V 2000mAh battery pack with 4-hour runtime (varies).\u003c\/p\u003e\n\u003cimg alt=\"Yahboom MSPM0G3507 smart robot car kit dimensions chart with four configurations and size measurements\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Yahboom-MSPM0-smart-robot-car-based-on-MSPM0G3507_16cede0b-a32b-4cd5-8be9-36ab027e5179.jpg?v=1782193306\"\u003e\u003cp\u003eThe Yahboom MSPM0G3507 smart robot is shown in Standard, Advanced, K210 Superior, and K230 Superior kits with labeled overall dimensions for each build.\u003c\/p\u003e\n\u003cimg alt=\"Shipping list for Yahboom MSPM0G3507 smart robot car kit with controller board, sensors, LCD, motors, wheels, and cables\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Yahboom-MSPM0-smart-robot-car-based-on-MSPM0G3507_0cad86fc-fba1-4273-86f0-6b9c58a40402.jpg?v=1782193313\"\u003e\u003cp\u003eThe Yahboom MSPM0G3507 smart robot car kit includes the controller board, LCD, ultrasonic and line-tracking modules, TT motors, wheels, battery box, and basic tools for assembly.\u003c\/p\u003e\n\u003c\/div\u003e","brand":"Yahboom","offers":[{"title":"Standard Kit","offer_id":53137888805088,"sku":"6000200896-1","price":119.0,"currency_code":"USD","in_stock":true},{"title":"Advanced Kit","offer_id":53137888837856,"sku":"6000200896-2","price":123.8,"currency_code":"USD","in_stock":true},{"title":"K210 Superior Kit","offer_id":53137888870624,"sku":"6000200896-3","price":179.0,"currency_code":"USD","in_stock":true},{"title":"K230 Superior Kit","offer_id":53137888903392,"sku":"6000200896-4","price":191.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0643\/3210\/3904\/files\/YahboomMSPM0robotcar1.jpg?v=1782139462"},{"product_id":"yahboom-tinybit-robot","title":"Yahboom Tiny:bit\/Tiny:bit Plus smart car robot kit for BBC micro:bit V2 \u0026 V1, MakeCode \u0026 Python","description":"\u003ch2\u003eOverview\u003c\/h2\u003e\u003cp\u003eThe Yahboom Tiny:bit\/Tiny:bit Plus \u003cstrong\u003esmart car\u003c\/strong\u003e is a compact educational robot car designed for the BBC micro:bit board. It supports MakeCode graphical programming and Python programming, and provides multiple built-in sensor-based activities for interactive learning and creative expansion. A rear alligator-clip interface is provided for quick prototyping and DIY add-ons.\u003c\/p\u003e\u003ch2\u003eKey Features\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003eBased on BBC micro:bit board; compatible with both new and old versions: micro:bit board (V2) [Default], micro:bit board (V1) [Compatible].\u003c\/li\u003e\n\u003cli\u003eProgramming support: MakeCode graphical programming and Python programming.\u003c\/li\u003e\n\u003cli\u003eIntelligent functions: obstacle avoidance and following (ultrasonic sensor), and black line tracking (tracking sensor).\u003c\/li\u003e\n\u003cli\u003eControl options: Bluetooth remote control APP; iOS\/Android APP remote control.\u003c\/li\u003e\n\u003cli\u003eSound and lighting: onboard microphone sensor and passive buzzer (can hear external sounds and play simple songs); programmable RGB lights and searchlights with lighting effects (Following light \/ Marquee \/ Breathing light).\u003c\/li\u003e\n\u003cli\u003eCreative expansion: rear alligator clip terminals (GND \/ 3V3 \/ 2 \/ 1); compatible with building block.\u003c\/li\u003e\n\u003cli\u003eBattery design: battery socket for directly inserting an 18650 lithium battery; integrates reverse polarity protection, low-voltage protection, and over-current protection.\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch3\u003eTiny:bit Plus additions (version-dependent)\u003c\/h3\u003e\u003cul\u003e\n\u003cli\u003eWiFi camera image transmission module (optional, just for Tiny:bit Plus): automatically releases a WiFi hotspot after power-on; phone connects to WiFi to view real-time video stream; connects to the Tiny:bit Plus car through the serial port and is fixed through the camera bracket.\u003c\/li\u003e\n\u003cli\u003eAPP support (Tiny:bit Plus): Bluetooth remote control APP + video remote control APP.\u003c\/li\u003e\n\u003cli\u003eAI vision functions (Tiny:bit Plus): built-in color threshold segmentation algorithm and lightweight convolutional neural network; identifies colors, faces, QR codes and other objects in the field of view, transmits recognition results to micro:bit through the serial port, and micro:bit displays recognized results and sends commands.\u003c\/li\u003e\n\u003cli\u003eAI vision examples listed: cat(dog) detection, person recognition, face detection\/following, QR code recognition, color recognition, color following.\u003c\/li\u003e\n\u003cli\u003eUpgrade path: Tiny:bit can be upgraded to the Tiny:bit Plus version by purchasing an additional WiFi image transmission module.\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch2\u003eSpecifications\u003c\/h2\u003e\u003ctable border=\"1\" cellpadding=\"6\" cellspacing=\"0\"\u003e\n\u003ctr\u003e\n\u003ctd\u003eProduct\u003c\/td\u003e\n\u003ctd\u003eTiny:bit smart car \/ Tiny:bit Plus smart car (model optional)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eMain controller\u003c\/td\u003e\n\u003ctd\u003eBBC micro:bit board (micro:bit V2 default; micro:bit V1 compatible)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eProgramming\u003c\/td\u003e\n\u003ctd\u003eMakeCode graphical programming; Python programming\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eCore modules (listed)\u003c\/td\u003e\n\u003ctd\u003eTracking sensors; ultrasonic modules; sound sensors; searchlights; programmable RGB lights; buzzers; infrared receiving module\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eFunctions (listed)\u003c\/td\u003e\n\u003ctd\u003eInfrared line patrol; obstacle avoidance; sound control; play music; infrared remote control; APP remote control\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eAPP control\u003c\/td\u003e\n\u003ctd\u003eTiny:bit: Bluetooth remote control APP; Tiny:bit Plus: Bluetooth remote control APP + video remote control APP\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eRemote control support\u003c\/td\u003e\n\u003ctd\u003eSupport infrared remote control; support iOS\/Android APP remote control\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eAI vision functions\u003c\/td\u003e\n\u003ctd\u003eTiny:bit: No; Tiny:bit Plus: Yes (cat(dog) detection, color recognition, QR code commands, person recognition, face detection, color following)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eWiFi camera module\u003c\/td\u003e\n\u003ctd\u003eTiny:bit: N; Tiny:bit Plus: Y (optional WiFi image module, serial-port connection)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003ePower\u003c\/td\u003e\n\u003ctd\u003eBattery socket for 18650 lithium battery\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eProtection\u003c\/td\u003e\n\u003ctd\u003eReverse polarity protection; low-voltage protection; over-current protection\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eRear expansion terminals\u003c\/td\u003e\n\u003ctd\u003eAlligator clip terminals: GND \/ 3V3 \/ 2 \/ 1\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eObstacle avoidance reference\u003c\/td\u003e\n\u003ctd\u003eUltrasonic distance judging (demo shows 5 cm)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eSize reference\u003c\/td\u003e\n\u003ctd\u003e12 cm (Tiny:bit); 12 cm (Tiny:bit Plus). Height\/clearance reference: 6 cm (Tiny:bit), 11 cm (Tiny:bit Plus)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/table\u003e\u003ch2\u003eApplications\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003emicro:bit programming education (MakeCode and Python)\u003c\/li\u003e\n\u003cli\u003eSTEM classroom projects: obstacle avoidance, line tracking, sound interaction, lighting effects, app control\u003c\/li\u003e\n\u003cli\u003eDIY expansion with rear alligator-clip interface and building block compatibility\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch2\u003eTutorials\u003c\/h2\u003e\u003cp\u003e\u003ca href=\"http:\/\/www.yahboom.net\/study\/Tiny:bit\" rel=\"noopener\" target=\"_blank\"\u003eYahboom Tiny:bit smart robot car tutorials\u003c\/a\u003e\u003c\/p\u003e\u003cp style=\"text-align: center;\"\u003e\u003ciframe height=\"420\" src=\"https:\/\/www.youtube.com\/embed\/N84m4WEl-5A\" title=\"Add AI functions on Tiny:bit Plus\" width=\"600\"\u003e\u003c\/iframe\u003e\u003c\/p\u003e\u003cp\u003eFor compatibility, version selection, or after-sales support, contact \u003ca href=\"https:\/\/rcdrone.top\/\" rel=\"noopener\" target=\"_blank\"\u003ehttps:\/\/rcdrone.top\/\u003c\/a\u003e or email \u003ca href=\"mailto:support@rcdrone.top\"\u003esupport@rcdrone.top\u003c\/a\u003e.\u003c\/p\u003e\u003ch2 id=\"details\"\u003eDetails\u003c\/h2\u003e\u003cdiv class=\"details-gallery\"\u003e\n\u003cimg alt=\"Yahboom Tiny:bit\/Tiny:bit Plus smart car robot kit with Tiny:bit and Tiny:bit Plus versions overview\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Yahboom-TinybitTinybit-Plus-smart-car-compatible-with.jpg?v=1782187249\"\u003e\u003cp\u003eChoose Tiny:bit for core micro:bit robotics learning, or Tiny:bit Plus for an expanded build with an optional WiFi camera.\u003c\/p\u003e\n\u003cimg alt=\"Tiny:bit Smart Car product introduction page with configuration table for Tiny:bit vs Tiny:bit Plus options\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Yahboom-TinybitTinybit-Plus-smart-car-compatible-with_71a19527-f946-486c-9f2f-7965d0bc7dd7.jpg?v=1782187257\"\u003e\u003cp\u003eBoth versions are built for the BBC micro:bit and support MakeCode and Python, with configuration differences depending on the model.\u003c\/p\u003e\n\u003cimg alt=\"BBC micro:bit compatibility banner for Tiny:bit car, highlighting micro:bit V2 default and V1 compatible\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Yahboom-TinybitTinybit-Plus-smart-car-compatible-with_6e1ce9ae-2282-4d97-b0fd-02d83416b680.jpg?v=1782187264\"\u003e\u003cp\u003eDesigned around the BBC micro:bit platform, with support for both micro:bit V2 (default) and micro:bit V1 (compatible).\u003c\/p\u003e\n\u003cimg alt=\"MakeCode blocks and Python programming support graphic for the Tiny:bit smart car\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Yahboom-TinybitTinybit-Plus-smart-car-compatible-with_f34bc0e8-62a3-4d87-86a3-5996119f8ada.jpg?v=1782187271\"\u003e\u003cp\u003eProgram lessons and projects in MakeCode blocks for quick starts, then move to Python for deeper control.\u003c\/p\u003e\n\u003cimg alt=\"18650 battery socket installed under the Tiny:bit chassis for longer runtime and protected power design\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Yahboom-TinybitTinybit-Plus-smart-car-compatible-with_05eb29dd-5e2d-405c-b3a7-e99a83b29764.jpg?v=1782187278\"\u003e\u003cp\u003eAn 18650 battery socket keeps the build compact while supporting longer run time for classroom demos and experiments.\u003c\/p\u003e\n\u003cimg alt=\"Step-by-step installation guide for Tiny:bit car and optional Tiny:bit Plus WiFi camera module bracket\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Yahboom-TinybitTinybit-Plus-smart-car-compatible-with_d0d8faee-a47e-4498-8b04-c558c0aaf9ab.jpg?v=1782187286\"\u003e\u003cp\u003eAssembly stays beginner-friendly, and the Tiny:bit Plus camera add-on installs with a dedicated bracket and latch parts.\u003c\/p\u003e\n\u003cimg alt=\"Optional WiFi camera module for Tiny:bit Plus with bracket, enabling phone video stream and video remote control\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Yahboom-TinybitTinybit-Plus-smart-car-compatible-with_3a254c23-65ac-4dd5-8050-d0cad6bfeefb.jpg?v=1782187301\"\u003e\u003cp\u003eAdd the optional WiFi camera module on Tiny:bit Plus to stream live video to a phone for immersive remote driving.\u003c\/p\u003e\n\u003cimg alt=\"Upgrade notice: Tiny:bit can be upgraded to Tiny:bit Plus by purchasing an additional WiFi image transmission module\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Yahboom-TinybitTinybit-Plus-smart-car-compatible-with.webp?v=1782187308\"\u003e\u003cp\u003eAlready have Tiny:bit? An additional WiFi image transmission module can upgrade the build path to Tiny:bit Plus features.\u003c\/p\u003e\n\u003cimg alt=\"Tiny:bit Plus AI vision function examples: color recognition, face detection\/following, QR code recognition, and more\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Yahboom-TinybitTinybit-Plus-smart-car-compatible-with_c6055eda-3cf3-4cf5-b5dc-56da1cdc6ca7.jpg?v=1782187315\"\u003e\u003cp\u003eTiny:bit Plus AI vision projects include color tracking, QR code recognition, and face detection\/following activities.\u003c\/p\u003e\n\u003cimg alt=\"Ultrasonic sensor demo for Tiny:bit car obstacle avoidance and following behavior activities\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Yahboom-TinybitTinybit-Plus-smart-car-compatible-with_9f843896-1a2e-4570-a62a-50ee827fefc1.jpg?v=1782187323\"\u003e\u003cp\u003eBuilt-in ultrasonic sensing supports classic robotics behaviors like obstacle avoidance and object following.\u003c\/p\u003e\n\u003cimg alt=\"Microphone sensor and passive buzzer feature for Tiny:bit smart car playing music with RGB lights\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Yahboom-TinybitTinybit-Plus-smart-car-compatible-with_881478a1-1409-4475-b8ab-e5d82ae70fac.jpg?v=1782187330\"\u003e\u003cp\u003eSound input and a passive buzzer enable interactive projects that react to audio and play simple tunes.\u003c\/p\u003e\n\u003cimg alt=\"Programmable RGB lighting effects on Tiny:bit car, including following light, marquee, and breathing modes\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Yahboom-TinybitTinybit-Plus-smart-car-compatible-with_4254ea21-db99-4750-85c1-c43924e96506.jpg?v=1782187337\"\u003e\u003cp\u003eProgrammable RGB lighting and searchlights add visual feedback for status, effects, and creative light patterns.\u003c\/p\u003e\n\u003cimg alt=\"Line tracking feature on Tiny:bit smart car using onboard tracking sensors to follow a black line path\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Yahboom-TinybitTinybit-Plus-smart-car-compatible-with_b910284b-4f89-4497-81a0-9b3920e7aaed.jpg?v=1782187344\"\u003e\u003cp\u003eOnboard tracking sensors make it easy to build line-following courses for STEM challenges and competitions.\u003c\/p\u003e\n\u003cimg alt=\"Compact chassis size comparison for Tiny:bit vs Tiny:bit Plus demonstrating clearance through small spaces\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Yahboom-TinybitTinybit-Plus-smart-car-compatible-with_17c02ee5-b2fa-492e-9da3-0135d7d9bde6.jpg?v=1782187351\"\u003e\u003cp\u003eThe compact chassis is designed to navigate tight spaces, while Tiny:bit Plus adds height for the camera module.\u003c\/p\u003e\n\u003cimg alt=\"Rear alligator clip expansion terminals labeled GND, 3V3, P2 and P1 for Tiny:bit DIY add-ons\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Yahboom-TinybitTinybit-Plus-smart-car-compatible-with_ffc00875-0a2c-4ed7-b4da-f37b26e58088.jpg?v=1782187359\"\u003e\u003cp\u003eRear alligator-clip terminals provide quick access to power and pins for fast prototyping with simple add-ons.\u003c\/p\u003e\n\u003cimg alt=\"Three remote control methods for the robot car: Bluetooth app, video remote app, infrared remote, and optional handle\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Yahboom-TinybitTinybit-Plus-smart-car-compatible-with_98f7f0af-a273-4add-bcda-b2e2749ba1de.jpg?v=1782187366\"\u003e\u003cp\u003eMultiple control options let students drive the car by Bluetooth app, infrared remote, or (on supported setups) video control.\u003c\/p\u003e\n\u003cimg alt=\"USB direct charging\/online programming image with micro:bit connected by USB and Tiny:bit Plus with camera module\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Yahboom-TinybitTinybit-Plus-smart-car-compatible-with_cc2fd964-5237-4ee5-9426-991f2a196fb8.jpg?v=1782187373\"\u003e\u003cp\u003eUSB connection supports convenient programming workflows, and the camera-equipped build keeps the robot ready for demos.\u003c\/p\u003e\n\u003cimg alt=\"Expansion scalability: building block compatibility and external sensor module connections on Tiny:bit robot car\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Yahboom-TinybitTinybit-Plus-smart-car-compatible-with_31ba15f0-fcde-4d03-8461-b06df10a3282.jpg?v=1782187380\"\u003e\u003cp\u003eExpansion holes support building blocks, and extra connections help extend projects with additional sensors and DIY mechanisms.\u003c\/p\u003e\n\u003cimg alt=\"Yahboom Tiny:bit smart car robot top view with ultrasonic sensors, micro USB port, RGB LEDs, and micro:bit board slot\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Yahboom-TinybitTinybit-Plus-smart-car-compatible-with_5227249c-68ea-487a-9d62-83bc16d04c5b.jpg?v=1782187387\"\u003e\u003cp\u003eThe Tiny:bit smart car robot board combines an ultrasonic module, micro USB interface, IR receiver, RGB lights, and a micro:bit slot for easy wiring and upgrades.\u003c\/p\u003e\n\u003cimg alt=\"Product parameter chart for Yahboom Tiny:bit and Tiny:bit Plus smart car robot, with size diagrams and specs table\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Yahboom-TinybitTinybit-Plus-smart-car-compatible-with_b5140cb1-c24a-4298-9074-fc11ae808977.jpg?v=1782187394\"\u003e\u003cp\u003eThe Tiny:bit and Tiny:bit Plus smart car robot parameters list key dimensions and a side-by-side overview of features like sensors and Bluetooth control.\u003c\/p\u003e\n\u003cimg alt=\"Yahboom Tiny:bit smart car robot gift information sheet with tutorial link and downloadable resource folders\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Yahboom-TinybitTinybit-Plus-smart-car-compatible-with_56747fc6-923f-4997-b79b-053e4af979a8.jpg?v=1782187402\"\u003e\u003cp\u003eYahboom Tiny:bit\/Tiny:bit Plus smart car robot documentation includes a tutorial link and organized folders for guides, code, and resources.\u003c\/p\u003e\n\u003cimg alt=\"Product comparison table for Yahboom Tiny:bit, Tiny:bit Plus, and Tiny:bit Pro smart car robot kits\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Yahboom-TinybitTinybit-Plus-smart-car-compatible-with_1eef72b2-f3bc-4f3c-a78c-f536894ea25c.jpg?v=1782187409\"\u003e\u003cp\u003eThe Tiny:bit, Tiny:bit Plus, and Tiny:bit Pro comparison helps you choose the right smart car robot kit based on sensors, motor type, size, and battery working time.\u003c\/p\u003e\n\u003cimg alt=\"Packing list for Yahboom Tiny:bit smart car kit with chassis, wheels, battery, USB cable, remote and manual\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Yahboom-TinybitTinybit-Plus-smart-car-compatible-with_48ecc4c1-7f8e-40d1-8ab5-81c5f926d910.jpg?v=1782187423\"\u003e\u003cp\u003eThe Tiny:bit smart car robot kit includes the bottom plate, universal wheel, tires, lithium battery, USB cable, remote control, and manual.\u003c\/p\u003e\n\u003cimg alt=\"Tiny:bit Plus optional accessories including WiFi camera module, fixed bracket, module parts kit, and 4-pin cables\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Yahboom-TinybitTinybit-Plus-smart-car-compatible-with_02de6cde-ab08-4355-b394-37efeeaefd07.jpg?v=1782187430\"\u003e\u003cp\u003eOptional Tiny:bit Plus add-ons include a WiFi camera module, fixed bracket, module accessory pack, and 4-pin connection cables.\u003c\/p\u003e\n\u003c\/div\u003e","brand":"yahboom","offers":[{"title":"Tiny:bit \/ Without Microbit \/ Without","offer_id":53140675068128,"sku":"6000200156-1","price":43.39,"currency_code":"USD","in_stock":true},{"title":"Tiny:bit \/ Without Microbit \/ With","offer_id":53140675100896,"sku":"6000200156-2","price":63.66,"currency_code":"USD","in_stock":true},{"title":"Tiny:bit \/ With Microbit V2 \/ Without","offer_id":53140675133664,"sku":"6000200156-3","price":76.99,"currency_code":"USD","in_stock":true},{"title":"Tiny:bit \/ With Microbit V2 *2 \/ With","offer_id":53140675166432,"sku":"6000200156-4","price":130.86,"currency_code":"USD","in_stock":true},{"title":"Tiny:bit Plus \/ Without Microbit \/ Without","offer_id":53140675199200,"sku":"6000200156-5","price":73.39,"currency_code":"USD","in_stock":true},{"title":"Tiny:bit Plus \/ Without Microbit \/ With","offer_id":53140675231968,"sku":"6000200156-6","price":93.66,"currency_code":"USD","in_stock":true},{"title":"Tiny:bit Plus \/ With Microbit V2 \/ Without","offer_id":53140675264736,"sku":"6000200156-7","price":106.99,"currency_code":"USD","in_stock":true},{"title":"Tiny:bit Plus \/ With Microbit V2 *2 \/ With","offer_id":53140675297504,"sku":"6000200156-8","price":160.86,"currency_code":"USD","in_stock":true},{"title":"Tiny:bit \/ With Microbit V2 \/ With","offer_id":53140675330272,"sku":"6000200156-9","price":97.26,"currency_code":"USD","in_stock":true},{"title":"Tiny:bit \/ With Microbit V2 *2 \/ Without","offer_id":53140675363040,"sku":"6000200156-10","price":110.59,"currency_code":"USD","in_stock":true},{"title":"Tiny:bit Plus \/ With Microbit V2 \/ With","offer_id":53140675395808,"sku":"6000200156-11","price":127.26,"currency_code":"USD","in_stock":true},{"title":"Tiny:bit Plus \/ With Microbit V2 *2 \/ Without","offer_id":53140675592416,"sku":"6000200156-12","price":140.59,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0643\/3210\/3904\/files\/Microbit_car_Yahboom_01_9f49836c-fc2a-4105-a02f-61090eed84f0.jpg?v=1782140864"},{"product_id":"yahboom-wom-robot-kit-microbit","title":"Yahboom World of Module Sensor Kit for BBC micro:bit V2\/V2.2 Robot Kit, 10 Sensors, MakeCode\/Python","description":"\u003ch2\u003eOverview\u003c\/h2\u003e\u003cp\u003eYahboom World of Module is a programmable sensor kit \/ robot building block kit designed for BBC micro:bit (supports MakeCode and Python). The kit combines a micro:bit sensor expansion board, 10 electronic sensor modules, 2 building block servos, and 300PCS building block parts for learning sensors and programming through hands-on model building.\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eNote:\u003c\/strong\u003e If purchasing with Micro:bit V2.0, Micro:bit V2.2 will be shipped by default.\u003c\/p\u003e\u003cp\u003eConfiguration options include \u003cstrong\u003ewith micro:bit\u003c\/strong\u003e (full set configuration, ready to play) and \u003cstrong\u003ewithout micro:bit\u003c\/strong\u003e (for users who already have a micro:bit board). \u003cstrong\u003eThe kit cannot work without a micro:bit board.\u003c\/strong\u003e\u003c\/p\u003e\u003ch2\u003eKey Features\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003eBased on BBC micro:bit design (youth programming education).\u003c\/li\u003e\n\u003cli\u003eProgramming support: MakeCode graphical programming and Python programming (with teaching cases).\u003c\/li\u003e\n\u003cli\u003e10 electronic sensors; quick connect; cascade design; compatible with building blocks.\u003c\/li\u003e\n\u003cli\u003e20+ building models; includes 300PCS building block parts.\u003c\/li\u003e\n\u003cli\u003eHardware configuration (kit): Sensors *10; building block servo *2; sensor expansion board *1; building block parts package.\u003c\/li\u003e\n\u003cli\u003eRemote control: not supported (purchase guide).\u003c\/li\u003e\n\u003cli\u003eModules use ABS housing; described as flame-retardant and durable.\u003c\/li\u003e\n\u003cli\u003eCompatible with LEGO EV3 blocks (can be combined with LEGO bricks).\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch2\u003eSpecifications\u003c\/h2\u003e\u003ctable\u003e\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003eProduct name\u003c\/td\u003e\n\u003ctd\u003eWorld of Module Sensor Kit\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eRecommended age\u003c\/td\u003e\n\u003ctd\u003e6 years old+\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eProgramming language\u003c\/td\u003e\n\u003ctd\u003eMakeCode \/ Python\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eProgramming equipment\u003c\/td\u003e\n\u003ctd\u003ePC, tablet, mobile phone\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eMain material\u003c\/td\u003e\n\u003ctd\u003eABS\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eProduct size\u003c\/td\u003e\n\u003ctd\u003e295*220*56mm\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003ePackage weight\u003c\/td\u003e\n\u003ctd\u003e950g\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eWorking temperature\u003c\/td\u003e\n\u003ctd\u003e4~40 C\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eBuilding block parts\u003c\/td\u003e\n\u003ctd\u003e300PCS\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eMotor\/Servo\u003c\/td\u003e\n\u003ctd\u003eBuilding block servo *2\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eBuilding block model (purchase guide)\u003c\/td\u003e\n\u003ctd\u003e21\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eNumber of courses (purchase guide)\u003c\/td\u003e\n\u003ctd\u003e140+\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\u003c\/table\u003e\u003ch2\u003eWhat's Included\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003eRGB module\u003c\/li\u003e\n\u003cli\u003eButton module\u003c\/li\u003e\n\u003cli\u003eRocker module\u003c\/li\u003e\n\u003cli\u003ePhotosensitive module\u003c\/li\u003e\n\u003cli\u003eTemperature and humidity module\u003c\/li\u003e\n\u003cli\u003eHuman body infrared sensor module\u003c\/li\u003e\n\u003cli\u003eColor recognition module\u003c\/li\u003e\n\u003cli\u003eInfrared module\u003c\/li\u003e\n\u003cli\u003eUltrasonic module\u003c\/li\u003e\n\u003cli\u003eDigital tube module\u003c\/li\u003e\n\u003cli\u003eBuilding block servo *2\u003c\/li\u003e\n\u003cli\u003eMicro:bit sensor expansion board\u003c\/li\u003e\n\u003cli\u003ePH2.0 cable *10\u003c\/li\u003e\n\u003cli\u003eUSB data cable\u003c\/li\u003e\n\u003cli\u003eBuilding block parts 300PCS\u003c\/li\u003e\n\u003cli\u003eMicro:bit (optional, depending on selected configuration)\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003eThe expansion board is described as using an anti-reverse PH2.0 interface for quick connection.\u003c\/p\u003e\u003ch2\u003eApplications\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003eSTEM education and introductory programming with micro:bit\u003c\/li\u003e\n\u003cli\u003eSensor learning experiments and building block model projects\u003c\/li\u003e\n\u003cli\u003eExample cases shown: Sunflower; Automatic door; Color sorter; Flying penguin\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch2\u003eTutorials\u003c\/h2\u003e\u003cp\u003eTutorials: \u003ca href=\"http:\/\/www.yahboom.net\/study\/WOM-Sensor-Kit-microbit\" rel=\"noopener\" target=\"_blank\"\u003ehttp:\/\/www.yahboom.net\/study\/WOM-Sensor-Kit-microbit\u003c\/a\u003e\u003c\/p\u003e\u003cp style=\"text-align: center;\"\u003e\u003ciframe height=\"420\" src=\"https:\/\/www.youtube.com\/embed\/w1oAUGubOnc\" title=\"YouTube video player\" width=\"600\"\u003e\u003c\/iframe\u003e\u003c\/p\u003e\u003cp\u003eFor kit selection and compatibility questions before purchase, contact \u003ca href=\"https:\/\/rcdrone.top\/\" rel=\"noopener\" target=\"_blank\"\u003ehttps:\/\/rcdrone.top\/\u003c\/a\u003e or email support@rcdrone.top.\u003c\/p\u003e\u003ch2 id=\"details\"\u003eDetails\u003c\/h2\u003e\u003cdiv class=\"details-gallery\"\u003e\n\u003cimg alt=\"Micro:bit building block kit purchase guide comparing World of Module kits and upgrade options\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Yahboom-world-of-module-programmable-sensor-kit-for.jpg?v=1782180522\"\u003e\u003cp\u003eChoose a beginner or advanced build, with or without a micro:bit board, based on the projects and sensors you want to explore.\u003c\/p\u003e\n\u003cimg alt=\"Yahboom World of Module programmable sensor kit for BBC micro:bit with modules, servos and building blocks\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Yahboom-world-of-module-programmable-sensor-kit-for_bc56b61d-d73c-44f0-bff1-c906d52c5920.jpg?v=1782180530\"\u003e\u003cp\u003eA complete micro:bit learning kit that combines sensor modules and building-block parts for hands-on STEM builds.\u003c\/p\u003e\n\u003cimg alt=\"Feature icons for MakeCode and Python programming, 10 sensors, 20+ models, quick connect and course content\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Yahboom-world-of-module-programmable-sensor-kit-for_e3465dbd-9d85-41ba-aa69-250febf064c9.jpg?v=1782180536\"\u003e\u003cp\u003eSupports both MakeCode blocks and Python, with quick-connect modules and a wide range of buildable models.\u003c\/p\u003e\n\u003cimg alt=\"BBC micro:bit board graphic with learning levels and blurred kids using micro:bit projects\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Yahboom-world-of-module-programmable-sensor-kit-for_caa81eea-ac70-4eeb-8054-fcc3bcfd1572.jpg?v=1782180543\"\u003e\u003cp\u003eBuilt around the BBC micro:bit platform to help learners progress from simple builds to more advanced sensor projects.\u003c\/p\u003e\n\u003cimg alt=\"Configuration instructions: with micro:bit full set vs without micro:bit for users who already own a board\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Yahboom-world-of-module-programmable-sensor-kit-for_e305ae4d-e511-4f93-b212-bff425d19cee.jpg?v=1782180550\"\u003e\u003cp\u003ePick the bundle that fits your setup—this kit requires a micro:bit to operate.\u003c\/p\u003e\n\u003cimg alt=\"Close-up of sensor modules with quick connect, cascade design and building block compatibility callouts\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Yahboom-world-of-module-programmable-sensor-kit-for_bfd5c751-0094-4509-9e56-a9f141318268.jpg?v=1782180558\"\u003e\u003cp\u003eQuick-connect modules use a cascade-friendly design and integrate cleanly with building-block structures.\u003c\/p\u003e\n\u003cimg alt=\"Example projects list: sunflower, automatic door, color sorter and flying penguin using sensor modules\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Yahboom-world-of-module-programmable-sensor-kit-for_68774365-a11d-4d26-a06d-93847d667751.jpg?v=1782180567\"\u003e\u003cp\u003eReady-to-build case projects introduce sensors through playful mechanisms like doors, sorters, and moving characters.\u003c\/p\u003e\n\u003cimg alt=\"MakeCode graphical programming on a tablet with block code and a small micro:bit robot build\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Yahboom-world-of-module-programmable-sensor-kit-for_b2bf9635-e52f-4f64-ac36-5c9e73e0a252.jpg?v=1782180574\"\u003e\u003cp\u003eMakeCode block programming makes it easy to start coding behaviors for your builds on a computer or tablet.\u003c\/p\u003e\n\u003cimg alt=\"Python programming screen next to laptop and a color sorter build with sample code snippet\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Yahboom-world-of-module-programmable-sensor-kit-for_38266c14-9f1c-400a-a8b5-00ddf8508774.jpg?v=1782180581\"\u003e\u003cp\u003ePython support helps learners transition from block coding to text-based programming for deeper control.\u003c\/p\u003e\n\u003cimg alt=\"Collage of creative building models and micro:bit robot projects made with World of Module parts\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Yahboom-world-of-module-programmable-sensor-kit-for_fca9a864-d98c-439d-aa16-a990d190ea5f.jpg?v=1782180589\"\u003e\u003cp\u003eA variety of creative model ideas encourage experimenting with different sensor combinations and structures.\u003c\/p\u003e\n\u003cimg alt=\"Comparison graphic: common products vs World of Module kit highlighting 10 sensors and various shapes\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Yahboom-world-of-module-programmable-sensor-kit-for_6692bc4f-b84e-49ea-923f-d9fbf7e5574d.jpg?v=1782180599\"\u003e\u003cp\u003eDesigned for flexible builds with multiple sensor types, rather than a single fixed-shape project.\u003c\/p\u003e\n\u003cimg alt=\"High-quality courses page on a desktop monitor with Yahboom tutorial link displayed\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Yahboom-world-of-module-programmable-sensor-kit-for_e51e3303-8a0c-49c4-ba44-5ef7ea0189e7.jpg?v=1782180606\"\u003e\u003cp\u003eOnline learning resources provide guided lessons and activities to match the included modules.\u003c\/p\u003e\n\u003cimg alt=\"Course levels graphic: basic, advanced and creative course paths for World of Module micro:bit kit\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Yahboom-world-of-module-programmable-sensor-kit-for_8ef9e8ed-bb8e-4d80-ab91-c3416479099c.jpg?v=1782180613\"\u003e\u003cp\u003eCourse content is organized into basic, advanced, and creative paths to match different learning stages.\u003c\/p\u003e\n\u003cimg alt=\"Product parameter sheet listing age 6+, MakeCode\/Python, ABS material, package size and weight\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Yahboom-world-of-module-programmable-sensor-kit-for_2958303a-5cf0-452d-a883-2ddfb8fba002.jpg?v=1782180620\"\u003e\u003cp\u003eKey specifications at a glance, including recommended age, programming options, and package details.\u003c\/p\u003e\n\u003cimg alt=\"Packing list of 10 sensor modules, 2 building block servos, expansion board, cables and 300-piece blocks\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Yahboom-world-of-module-programmable-sensor-kit-for_f6a4fe2c-067e-494c-9771-7430ec723378.jpg?v=1782180629\"\u003e\u003cp\u003eEverything needed to start building: 10 sensor modules, expansion board, cables, two servos, and 300 building-block parts.\u003c\/p\u003e\n\u003c\/div\u003e","brand":"Yahboom","offers":[{"title":"Without Micro:bit","offer_id":53141729509600,"sku":"6000400190-1","price":130.99,"currency_code":"USD","in_stock":true},{"title":"With Micro:bit V2.0","offer_id":53141729542368,"sku":"6000400190-2","price":164.59,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0643\/3210\/3904\/files\/1_f3ce7858-a59f-499e-8aa1-267ecf932afb.jpg?v=1782142413"}],"url":"https:\/\/rcdrone.top\/collections\/robots-robot-arms.oembed","provider":"RCDrone","version":"1.0","type":"link"}