{"product_id":"yahboom-microros-pi5-robot","title":"MicroROS-Pi5 ROS2 Robot Car for Raspberry Pi 5 (Humble) with MS200 TOF LiDAR \u0026 2MP 2DOF PTZ","description":"\u003ch2\u003eOverview\u003c\/h2\u003e\u003cp\u003eMicroROS-Pi5 is a ROS2 \u003cstrong\u003eRobot Car\u003c\/strong\u003e developed for \u003cstrong\u003eRaspberry Pi 5\u003c\/strong\u003e, using \u003cstrong\u003eRaspberry Pi OS + ROS2 Humble\u003c\/strong\u003e and \u003cstrong\u003ePython 3\u003c\/strong\u003e. It integrates a MicroROS robot expansion\/control board with an \u003cstrong\u003eESP32 co-processor\u003c\/strong\u003e, \u003cstrong\u003eMS200 TOF laser LiDAR\u003c\/strong\u003e, a \u003cstrong\u003e2MP\u003c\/strong\u003e camera on a \u003cstrong\u003e2DOF PTZ\u003c\/strong\u003e pan\/tilt, \u003cstrong\u003e4PCS 310 encoder motors\u003c\/strong\u003e, an \u003cstrong\u003eanodized aluminum alloy\u003c\/strong\u003e frame\/body, and a \u003cstrong\u003e7.4V 2000mAh\u003c\/strong\u003e rechargeable battery. OpenCV image processing and MediaPipe machine learning algorithms are used to support robot motion control, AI visual interaction, SLAM mapping\/navigation, RViz simulation, and multi-machine synchronous control.\u003c\/p\u003e\u003ch2\u003eKey Features\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003eRaspberry Pi 5 power solution:\u003c\/strong\u003e provides \u003cstrong\u003e5.1V\/5A\u003c\/strong\u003e power supply for Raspberry Pi 5 (supports PD), designed to ensure sufficient USB interface current and stable operation.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eDual-controller architecture:\u003c\/strong\u003e Raspberry Pi 5 as the ROS controller (upper-level) for visual processing and mapping; ESP32 as the lower-level co-processor for motor drive, servo angle control, IMU acquisition, and LiDAR\/camera drive.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eMS200 TOF LiDAR functions:\u003c\/strong\u003e SLAM mapping (gmapping and cartographer), path planning, single-point and multi-point navigation with obstacle avoidance, iOS\/Android app mapping navigation, multi-machine navigation, and LiDAR-based behaviors (avoid, tracking, guard, patrol).\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eAI visual recognition \u0026amp; interaction:\u003c\/strong\u003e OpenCV + MediaPipe; face\/body\/gesture\/picture-code recognition; QR code recognition; AR vision (12 AR visual effects with chessboard paper); color\/face\/KCF object tracking; line tracking; gesture-controlled movements and autopilot color following.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003e2DOF camera PTZ:\u003c\/strong\u003e USB high frame rate HD camera with metal servos; supports \u003cstrong\u003ehorizontal 180°\u003c\/strong\u003e and \u003cstrong\u003evertical 180°\u003c\/strong\u003e electric rotation for motion tracking and AI visual development.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eChassis\/body design:\u003c\/strong\u003e aluminum alloy body, enclosed cabin design, geometric hollow heat dissipation holes, reserved holes for wiring, EVA anti-collision cotton, and PWM adjustable-speed active cooling (Cool cooler Pi50).\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eMultiple control methods:\u003c\/strong\u003e mobile app control (forward\/backward\/turn left\/turn right with real-time camera view), handle control for multi-robot synchronous control, and keyboard control for multi-robot synchronous control.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eRViz simulation support\u003c\/strong\u003e for development feedback, debugging, testing, and algorithm verification in a virtual environment.\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch2\u003eSpecifications\u003c\/h2\u003e\u003ctable border=\"1\" cellpadding=\"6\" cellspacing=\"0\"\u003e\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003eProduct\u003c\/td\u003e\n\u003ctd\u003eMicroROS-Pi5 ROS2 Robot Car for Raspberry Pi 5\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eOS \/ ROS\u003c\/td\u003e\n\u003ctd\u003eRaspberry Pi OS + ROS2 Humble\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eProgramming Language\u003c\/td\u003e\n\u003ctd\u003ePython 3\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eMain Controller\u003c\/td\u003e\n\u003ctd\u003eRaspberry Pi 5 (optional configuration)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eCo-Processor\u003c\/td\u003e\n\u003ctd\u003eESP32 (MicroROS robot expansion\/control board; ESP32S3 dual-core development board is referenced in product material)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eLiDAR\u003c\/td\u003e\n\u003ctd\u003eMS200 TOF laser LiDAR (ORBBEC MS200 referenced)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eLiDAR Measurement Radius\u003c\/td\u003e\n\u003ctd\u003eUp to 12m\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eLiDAR Blind Zone\u003c\/td\u003e\n\u003ctd\u003e3cm\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eLiDAR Ranging Error\u003c\/td\u003e\n\u003ctd\u003e±2mm within 2 meters\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eLiDAR Sampling Frequency\u003c\/td\u003e\n\u003ctd\u003e4500 times\/s\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eLiDAR Scanning Frequency\u003c\/td\u003e\n\u003ctd\u003e7HZ~15HZ\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eLiDAR Communication Rate\u003c\/td\u003e\n\u003ctd\u003e230400bps\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eCamera\u003c\/td\u003e\n\u003ctd\u003e2MP; USB high frame rate HD camera\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eCamera Pan\/Tilt\u003c\/td\u003e\n\u003ctd\u003e2DOF PTZ; horizontal 180° electric rotation; vertical 180° electric rotation\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eMotors\u003c\/td\u003e\n\u003ctd\u003e4PCS 310 reduction motor with encoder (metal encoder reduction motor referenced)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eMotor Reduction Ratio\u003c\/td\u003e\n\u003ctd\u003e1:20\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eIMU\u003c\/td\u003e\n\u003ctd\u003e6-axis IMU sensor (3-axis accelerometer + 3-axis gyroscope)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eBattery Pack\u003c\/td\u003e\n\u003ctd\u003e7.4V 2000mAh lithium battery pack\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003ePower for Raspberry Pi 5\u003c\/td\u003e\n\u003ctd\u003e5.1V\/5A (supports PD)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eFrame\/Body\u003c\/td\u003e\n\u003ctd\u003eAnodized aluminum alloy; enclosed cabin; EVA anti-collision cotton\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eCooling\u003c\/td\u003e\n\u003ctd\u003eCool active heat sink; PWM adjustable speed fan; aluminum alloy heat sink (Cool cooler Pi50 referenced)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\u003c\/table\u003e\u003ch3\u003eMicroROS Control Board Interfaces (from product material)\u003c\/h3\u003e\u003ctable border=\"1\" cellpadding=\"6\" cellspacing=\"0\"\u003e\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003ePower \/ Charging\u003c\/td\u003e\n\u003ctd\u003eBattery interface; battery charging interface; Type-C power supply interface; 5V OUT; switch\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eCommunication\u003c\/td\u003e\n\u003ctd\u003eWiFi; Bluetooth; Type-C serial port; antenna interface\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003ePeripherals\u003c\/td\u003e\n\u003ctd\u003eLiDAR interface; PWM servo interface; supports 4-channel encoder motors; supports 2-channel PWM servos; buzzer\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eControls \/ Indicators\u003c\/td\u003e\n\u003ctd\u003eReset button; BOOT button; custom buttons; power indicator light and MCU indicator light\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eSensors \/ Expansion\u003c\/td\u003e\n\u003ctd\u003e6 axis IMU chip; custom GPIO * 2\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\u003c\/table\u003e\u003ch3\u003eRaspberry Pi 5 Board Reference (from product material)\u003c\/h3\u003e\u003ctable border=\"1\" cellpadding=\"6\" cellspacing=\"0\"\u003e\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003eItem\u003c\/td\u003e\n\u003ctd\u003eRaspberry Pi 5\u003c\/td\u003e\n\u003ctd\u003eRaspberry Pi 4B\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eCPU\u003c\/td\u003e\n\u003ctd\u003eQuad-core Cortex-A76 Broadcom BCM2712 (2.4GHz Main frequency)\u003c\/td\u003e\n\u003ctd\u003eQuad-core Cortex-A72 Broadcom BCM2711 (1.5GHz Main frequency)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eGPU\u003c\/td\u003e\n\u003ctd\u003e800 MHz VideoCore VII\u003c\/td\u003e\n\u003ctd\u003e600 MHz VideoCore VI\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eMemory\u003c\/td\u003e\n\u003ctd\u003eLPDDR4X-4267 SDRAM\u003c\/td\u003e\n\u003ctd\u003eLPDDR4-3200 SDRAM\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003ePower Input\u003c\/td\u003e\n\u003ctd\u003e5.1V\/5A (Support PD)\u003c\/td\u003e\n\u003ctd\u003e5V\/3A (Not support PD)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eFan Interface\u003c\/td\u003e\n\u003ctd\u003ePWM control and tacho Feedback (4 pins JST)\u003c\/td\u003e\n\u003ctd\u003eNone\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\u003c\/table\u003e\u003ch2\u003eConfiguration Options\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003eWithout Raspberry Pi 5 board:\u003c\/strong\u003e with \u003cstrong\u003e64GB TF card\u003c\/strong\u003e (system file written). Suitable for users who already have a Raspberry Pi 5.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eWith Raspberry Pi 5 board:\u003c\/strong\u003e Raspberry Pi 5 memory options shown as \u003cstrong\u003e2\/4\/8\/16GB optional\u003c\/strong\u003e, with \u003cstrong\u003e64GB TF card\u003c\/strong\u003e (system file written).\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch2\u003eApplications\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003eROS2 learning and robotics education\u003c\/li\u003e\n\u003cli\u003eSLAM mapping, navigation, and path planning development\u003c\/li\u003e\n\u003cli\u003eComputer vision projects with OpenCV and MediaPipe\u003c\/li\u003e\n\u003cli\u003eMulti-robot synchronous control and RViz-based simulation workflows\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch2\u003eManuals\u003c\/h2\u003e\u003cul\u003e\u003cli\u003eTutorial: \u003ca href=\"http:\/\/www.yahboom.net\/study\/MicroROS-Pi5\" rel=\"noopener\" target=\"_blank\"\u003ehttp:\/\/www.yahboom.net\/study\/MicroROS-Pi5\u003c\/a\u003e\n\u003c\/li\u003e\u003c\/ul\u003e\u003cp style=\"text-align: center;\"\u003e\u003ciframe height=\"420\" src=\"https:\/\/www.youtube.com\/embed\/x_MQeoQp2xI\" title=\"Raspberry Pi 5 ROS2 Robot Car(ROS2-HUMBLE + Python3)\" width=\"600\"\u003e\u003c\/iframe\u003e\u003c\/p\u003e\u003cp\u003eFor configuration selection, pre-sales questions, and technical support, contact \u003ca href=\"https:\/\/rcdrone.top\/\" rel=\"noopener\" target=\"_blank\"\u003ehttps:\/\/rcdrone.top\/\u003c\/a\u003e or email \u003ca href=\"mailto:support@rcdrone.top\"\u003esupport@rcdrone.top\u003c\/a\u003e.\u003c\/p\u003e\u003ch2 id=\"details\"\u003eDetails\u003c\/h2\u003e\u003cdiv class=\"details-gallery\"\u003e\n\u003cimg alt=\"MicroROS-Pi5 ROS2 Robot car for Raspberry Pi 5 with camera PTZ and LiDAR, aluminum chassis\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/MicroROS-Pi5-ROS2-Robot-Car-for-Raspberry-Pi-5-ROS2-HUMBLE.jpg?v=1782064934\"\u003e\u003cp\u003eBuild ROS2 projects on Raspberry Pi 5 with a compact robot car designed for vision, mapping, and navigation.\u003c\/p\u003e\n\u003cimg alt=\"MicroROS-Pi5 overview highlighting ROS2 Humble, OpenCV\/MediaPipe vision, and SLAM-ready hardware\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/MicroROS-Pi5-ROS2-Robot-Car-for-Raspberry-Pi-5-ROS2-HUMBLE_c4b44ac3-86a5-484b-b873-159e9f9075af.jpg?v=1782064940\"\u003e\u003cp\u003eA complete development platform that combines ROS2 Humble, Python, and AI vision workflows for real robot behavior.\u003c\/p\u003e\n\u003cimg alt=\"Feature overview: Raspberry Pi 5 controller plus LiDAR perception functions and AI visual recognition modules\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/MicroROS-Pi5-ROS2-Robot-Car-for-Raspberry-Pi-5-ROS2-HUMBLE_0dccc4f0-c9b5-4bc0-85a9-123f70cd75aa.jpg?v=1782064946\"\u003e\u003cp\u003eCore capabilities include onboard computing, LiDAR perception for obstacle-aware navigation, and AI visual recognition.\u003c\/p\u003e\n\u003cimg alt=\"Training and support overview with English-subtitled courses, hardware configuration, and after-sales support\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/MicroROS-Pi5-ROS2-Robot.webp?v=1782066225\"\u003e\u003cp\u003eGet productive faster with structured lessons, practical demos, and technical support for setup and troubleshooting.\u003c\/p\u003e\n\u003cimg alt=\"Raspberry Pi 5 comparison graphic highlighting improved performance and 5.1V 5A power support\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/MicroROS-Pi5-ROS2-Robot-Car-for-Raspberry-Pi-5-ROS2-HUMBLE_7e182895-4f9d-4db7-ab4a-cc442ff015be.jpg?v=1782064983\"\u003e\u003cp\u003eDesigned around Raspberry Pi 5 power needs to keep USB current stable during camera and sensor workloads.\u003c\/p\u003e\n\u003cimg alt=\"Configuration options: kit without Raspberry Pi 5 board vs full set with Raspberry Pi 5 included\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/MicroROS-Pi5-ROS2-Robot-Car-for-Raspberry-Pi-5-ROS2-HUMBLE_974c785b-3f4d-46b5-b859-0c46df2d9f90.jpg?v=1782064989\"\u003e\u003cp\u003eChoose the kit that fits your lab—reuse an existing Pi 5 or select a ready-to-run bundle.\u003c\/p\u003e\n\u003cimg alt=\"2DOF pan\/tilt camera range and AI vision features like QR, AR effects, posture and face detection\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/MicroROS-Pi5-ROS2-Robot-Car-for-Raspberry-Pi-5-ROS2-HUMBLE_eca09788-4a0e-4078-b51a-f93b8fcfbf38.jpg?v=1782064994\"\u003e\u003cp\u003eA 2DOF pan\/tilt camera mount enables tracking experiments and flexible viewpoints for OpenCV and MediaPipe tasks.\u003c\/p\u003e\n\u003cimg alt=\"AI visual interaction examples: color\/face\/KCF tracking, autopilot color following, gesture control driving\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/MicroROS-Pi5-ROS2-Robot_a615fe7c-48c1-4bbc-b4f8-427c48df56aa.webp?v=1782066238\"\u003e\u003cp\u003eInteractive demos cover object tracking, color-follow autopilot, and gesture-based motion control.\u003c\/p\u003e\n\u003cimg alt=\"LiDAR functions panel: mapping, path planning, app mapping\/navigation, multi-machine navigation, patrol modes\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/MicroROS-Pi5-ROS2-Robot-Car-for-Raspberry-Pi-5-ROS2-HUMBLE_1cef5108-af9e-4a01-a318-a287e075c670.jpg?v=1782065014\"\u003e\u003cp\u003eUse TOF LiDAR for SLAM mapping, path planning, obstacle avoidance, and coordinated multi-robot navigation.\u003c\/p\u003e\n\u003cimg alt=\"Remote control methods: mobile app with live view, multi-robot handle control, and keyboard control\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/MicroROS-Pi5-ROS2-Robot-Car-for-Raspberry-Pi-5-ROS2-HUMBLE_488ecda9-27af-481d-8de4-6059c13ca3ab.jpg?v=1782065020\"\u003e\u003cp\u003eControl options range from phone-based driving with live video to synchronized multi-robot control by handle or keyboard.\u003c\/p\u003e\n\u003cimg alt=\"ROS2 Humble development and RViz simulation support for testing navigation and algorithms\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/MicroROS-Pi5-ROS2-Robot-Car-for-Raspberry-Pi-5-ROS2-HUMBLE_e7faa5ac-c5b5-4200-80ac-37e803058eb2.jpg?v=1782065026\"\u003e\u003cp\u003eDevelop on ROS2 Humble and validate behaviors in RViz before moving from simulation to real-world runs.\u003c\/p\u003e\n\u003cimg alt=\"Dual-controller architecture diagram: Raspberry Pi 5 upper-level ROS controller plus ESP32 lower-level co-processor\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/MicroROS-Pi5-ROS2-Robot-Car-for-Raspberry-Pi-5-ROS2-HUMBLE_2aff16b8-071f-4950-a080-3808558d7168.jpg?v=1782065032\"\u003e\u003cp\u003eA dual-controller design offloads real-time motor and sensor tasks to ESP32 while Raspberry Pi 5 handles ROS and vision.\u003c\/p\u003e\n\u003cimg alt=\"Exploded structure labeling: TOF LiDAR, 2DOF camera PTZ, MicroROS control board, battery, motors, cooling\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/MicroROS-Pi5-ROS2-Robot-Car-for-Raspberry-Pi-5-ROS2-HUMBLE_066ea881-325b-4169-b1fe-8fdceef489bd.jpg?v=1782065038\"\u003e\u003cp\u003eAn exploded layout makes it easy to identify key modules for maintenance, upgrades, and wiring.\u003c\/p\u003e\n\u003cimg alt=\"Chassis feature grid: heat dissipation, anti-collision cotton, reserved holes, IMU, battery, cooling, encoder motors\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/MicroROS-Pi5-ROS2-Robot-Car-for-Raspberry-Pi-5-ROS2-HUMBLE_507b2ffc-a0ce-4275-b5f8-7d8119f5947e.jpg?v=1782065044\"\u003e\u003cp\u003eMechanical details focus on durability, airflow, wiring access, and sensor-ready integration for ongoing expansion.\u003c\/p\u003e\n\u003cimg alt=\"Core hardware callouts: MS200 TOF LiDAR, 2DOF camera pan\/tilt, MicroROS control board and connectors\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/MicroROS-Pi5-ROS2-Robot_db313cdd-6a9d-427c-b43d-fccd3e77fc36.webp?v=1782066258\"\u003e\u003cp\u003eCore components are organized for quick access—LiDAR, pan\/tilt camera, and the MicroROS expansion\/control board.\u003c\/p\u003e\n\u003cimg alt=\"MicroROS-Pi5 course outline screenshot with tutorial link and topic list for ROS2 and robot functions\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/MicroROS-Pi5-ROS2-Robot-Car-for-Raspberry-Pi-5-ROS2-HUMBLE_5a358820-d4a7-49ef-abf4-c258dd18062d.jpg?v=1782065081\"\u003e\u003cp\u003eA step-by-step curriculum covers setup, robot control, perception, mapping, and common ROS2 workflows.\u003c\/p\u003e\n\u003cimg alt=\"Detailed course syllabus list covering robot vision, LiDAR mapping, ROS2 nodes, and ESP32 microcontroller topics\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/MicroROS-Pi5-ROS2-Robot-Car-for-Raspberry-Pi-5-ROS2-HUMBLE_fe9c4bbe-7e4b-4453-bb92-6652dda34b2f.jpg?v=1782065087\"\u003e\u003cp\u003eDeeper lessons include perception pipelines, navigation stacks, and microcontroller-side development tasks.\u003c\/p\u003e\n\u003cimg alt=\"Open-source code folder structure for robot control, ROS + OpenCV courses, visual interaction, and LiDAR functions\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/MicroROS-Pi5-ROS2-Robot-Car-for-Raspberry-Pi-5-ROS2-HUMBLE_ea2c1401-f946-43bb-9099-a55d5aa3c7a6.jpg?v=1782065093\"\u003e\u003cp\u003eOpen-source project structure helps you locate demos quickly and adapt code into your own ROS2 packages.\u003c\/p\u003e\n\u003cimg alt=\"MicroROS-Pi5 ROS2 robot support graphic showing tutorial course files, English-subtitled videos, and 3D model file info\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/MicroROS-Pi5-ROS2-Robot-Car-for-Raspberry-Pi-5-ROS2-HUMBLE_fdb5ca96-1ecb-40cd-a431-03602971585e.jpg?v=1782065099\"\u003e\u003cp\u003eMicroROS-Pi5 ROS2 robot resources include organized training materials with English subtitles, technical support, and downloadable 3D model files.\u003c\/p\u003e\n\u003cimg alt=\"MicroROS Robot-Pi5 ROS2 robot size diagram with front and side views and key dimensions in mm\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/MicroROS-Pi5-ROS2-Robot-Car-for-Raspberry-Pi-5-ROS2-HUMBLE_a5152d3f-a0b6-4dd0-baa7-d93738741b80.jpg?v=1782065105\"\u003e\u003cp\u003eMicroROS Robot-Pi5 dimensions and a quick spec overview help you plan chassis space and ROS2 (Humble) setup around the Raspberry Pi 5 controller.\u003c\/p\u003e\n\u003cimg alt=\"Specification table for MS200 LiDAR (360° scan, 0.03–12m range) and 2DOF camera PTZ module parameters\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/MicroROS-Pi5-ROS2-Robot-Car-for-Raspberry-Pi-5-ROS2-HUMBLE_71a57b91-b7c0-4cf9-9a83-ffe58a1d8511.jpg?v=1782065111\"\u003e\u003cp\u003eThe MS200 LiDAR and 2DOF camera PTZ module list key setup specs like 360° scan angle, 0.03–12 m range, and operating voltages.\u003c\/p\u003e\n\u003cimg alt=\"Shipping list for MicroROS-Pi5 ROS2 robot car kit with chassis, motors, LiDAR, camera PTZ, controller and cables\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/MicroROS-Pi5-ROS2-Robot-Car-for-Raspberry-Pi-5-ROS2-HUMBLE_8cf3616c-ae7b-4432-bcef-f37e28237147.jpg?v=1782065117\"\u003e\u003cp\u003eThe MicroROS-Pi5 ROS2 robot car kit includes an assembled chassis and wheels, motor set, MS200 LiDAR, 200° camera PTZ, control board, covers, controller, and key accessories like cables and a charger.\u003c\/p\u003e\n\u003c\/div\u003e","brand":"Yahboom","offers":[{"title":"Without Raspberry 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