{"title":"Robot Arms","description":"\u003cp\u003eRobotic arms and manipulator systems for positioning, handling and development projects. Choose by reach, payload, degrees of freedom, repeatability and control interface. Check the included controller, mounting requirements and end-effector compatibility.\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":"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-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-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-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-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 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