The Yahboom MicroROS-Pi5 ROS2 Robot Car is a Raspberry Pi 5-based mobile robotics platform designed for learning and developing with ROS2 Humble, microROS, SLAM, computer vision and autonomous navigation. This OpenELAB configuration includes a Raspberry Pi 5 with 8GB RAM, so the main computing platform is included and ready for software setup and robot development. The robot combines a Raspberry Pi 5 upper-level computer with an ESP32-S3 MicroROS control board for real-time motor, sensor and actuator control. It integrates four 310 encoder motors, an MS200 TOF LiDAR, a 2MP camera on a 2DOF PTZ, a 6-axis IMU and a rechargeable 7.4V battery in an anodized aluminum-alloy chassis. Raspberry Pi 5 + ESP32-S3 Dual-Controller Architecture The MicroROS-Pi5 separates high-level computing from low-level robot control. The Raspberry Pi 5 8GB handles ROS2 applications, visual processing, mapping, navigation and higher-level decision making, while the ESP32-S3 MicroROS controller manages motors, encoders, servos, IMU, LiDAR communication and other real-time peripherals. This architecture allows the robot to combine the computing capability of Raspberry Pi 5 with microROS-based embedded control. The control board supports Wi-Fi, Bluetooth and serial communication and provides a 5.1V/5A power solution for Raspberry Pi 5. ROS2 Humble Development Platform The robot uses Raspberry Pi OS with ROS2 Humble and supports Python 3 development. Yahboom's official learning materials cover the complete path from basic robot control to ROS2 modeling and simulation. Available learning topics include robot state estimation, linear and angular velocity calibration, URDF robot models, TF2 coordinate transformation, RViz visualization and Gazebo simulation. This makes the platform suitable for students and developers who want to move from basic mobile robot control into a complete ROS2 workflow. LiDAR SLAM, Mapping and Navigation The included MS200 TOF LiDAR provides 360-degree environmental scanning for ROS2 mapping and navigation projects. It supports a measuring range of approximately 0.03 to 12 meters, a typical scan rate of 4500 points per second and 10Hz rotation. With Yahboom's ROS2 examples, the robot can be used for LiDAR visualization, mapping, obstacle avoidance, following, patrol and autonomous navigation. The official course materials include Gmapping, Cartographer and Navigation2 workflows, allowing users to progress from LiDAR data acquisition to map building and navigation. AI Vision with OpenCV and MediaPipe A 2MP camera with 2DOF PTZ gives the robot a movable vision system for computer-vision experiments. Yahboom provides OpenCV and MediaPipe examples covering image processing, recognition and visual interaction. Supported example projects include QR code and AR recognition, color and object tracking, face-related applications, gesture recognition, palm interaction and body-pose detection. Vision results can also be combined with robot movement and PTZ control to build interactive tracking and autonomous demonstration projects. Multiple Robot Control Methods The MicroROS-Pi5 can be operated through multiple control methods for different development stages. Users can start with direct manual control and later move into ROS2 autonomous applications. Mobile App: basic driving and supported mapping/navigation workflows. Wireless Controller: convenient manual robot and PTZ control. Computer Keyboard: ROS2-based keyboard control during development. Multi-Robot Projects: Yahboom provides examples for synchronized control and multi-machine navigation. Technical Specifications Configuration With Raspberry Pi 5 8GB Main Computer Raspberry Pi 5 8GB ROS Environment ROS2 Humble Operating Environment Raspberry Pi OS + ROS2 Humble Programming Python 3 Low-Level Controller ESP32-S3 MicroROS Control Board Drive Type 4-Wheel Drive Drive Motors 310 Encoder Motor ×4 LiDAR MS200 TOF LiDAR LiDAR Range 0.03–12 m under specified reflectivity conditions LiDAR Scan 360°, 4500 points/s, 10Hz typical Camera 2MP Camera Camera Mount 2DOF PTZ IMU 6-Axis IMU Battery 7.4V 2000mAh rechargeable battery Raspberry Pi 5 Power 5.1V / 5A supported by MicroROS control board Chassis Material Anodized aluminum alloy Manual Control Mobile App, wireless controller and computer keyboard ROS compatibility: the MicroROS controller is designed for ROS2. Yahboom does not specify ROS1 support for this control board. Development Resources and Secondary Development Yahboom provides a structured learning and development environment rather than only demonstration software. Official materials include robot basic courses, ROS2, OpenCV, LiDAR, Linux, Docker, ESP32-IDF and microROS development. Available downloads include source code, hardware information, Raspberry Pi 5 system image, virtual-machine resources, instruction manual, 3D model files, ROS2 basic VM and mapping applications. View Official MicroROS-Pi5 Development Resources What's Included This OpenELAB listing is the With Pi5-8GB configuration. Major kit components include the Raspberry Pi 5 8GB, MicroROS robot platform, MS200 LiDAR, 2DOF camera PTZ, MicroROS control board, drive motors and wheels, cooling hardware, rechargeable battery and charging accessories, wireless controller, storage/media accessories, connection cables, mounting hardware, tools and documentation. For Universities, Laboratories and Research Projects The MicroROS-Pi5 is suitable for ROS2 education, mobile robotics courses, SLAM experiments, computer-vision projects and research prototyping. For institutional purchasing, OpenELAB can assist with formal quotations, proforma invoices, VAT documentation, lead-time confirmation, volume pricing and commonly requested vendor-registration documents. Support and Warranty For technical or order-related questions, please contact OpenELAB first. When manufacturer-level assistance is required, OpenELAB can coordinate with Yahboom. Warranty and after-sales handling follow the applicable Yahboom and OpenELAB order terms. FAQ Does this version include Raspberry Pi 5? Yes. This listing is the With Pi5-8GB configuration and includes a Raspberry Pi 5 with 8GB RAM. Which ROS version does the robot use? The official software environment is based on ROS2 Humble. The MicroROS control board is designed for ROS2 communication. Can it be used for SLAM and autonomous navigation? Yes. The included MS200 LiDAR is used in Yahboom's mapping and navigation examples, including Gmapping, Cartographer and Navigation2 workflows. Does Yahboom provide source code and development documentation? Yes. Yahboom provides source code, hardware information, system images, manuals, 3D models and structured courses covering ROS2, OpenCV, LiDAR, Docker, ESP32 and microROS development.
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