MicroROS-Pi5 ROS2 Robot Car for Raspberry Pi 5 (Humble) with MS200 TOF LiDAR & 2MP 2DOF PTZ

Overview

MicroROS-Pi5 is a ROS2 Robot Car developed for Raspberry Pi 5, using Raspberry Pi OS + ROS2 Humble and Python 3. It integrates a MicroROS robot expansion/control board with an ESP32 co-processor, MS200 TOF laser LiDAR, a 2MP camera on a 2DOF PTZ pan/tilt, 4PCS 310 encoder motors, an anodized aluminum alloy frame/body, and a 7.4V 2000mAh 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.

Key Features

• Raspberry Pi 5 power solution: provides 5.1V/5A power supply for Raspberry Pi 5 (supports PD), designed to ensure sufficient USB interface current and stable operation.
• Dual-controller architecture: 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.
• MS200 TOF LiDAR functions: 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).
• AI visual recognition & interaction: 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.
• 2DOF camera PTZ: USB high frame rate HD camera with metal servos; supports horizontal 180° and vertical 180° electric rotation for motion tracking and AI visual development.
• Chassis/body design: 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).
• Multiple control methods: 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.
• RViz simulation support for development feedback, debugging, testing, and algorithm verification in a virtual environment.

Specifications

MicroROS Control Board Interfaces (from product material)

Raspberry Pi 5 Board Reference (from product material)

Configuration Options

• Without Raspberry Pi 5 board: with 64GB TF card (system file written). Suitable for users who already have a Raspberry Pi 5.
• With Raspberry Pi 5 board: Raspberry Pi 5 memory options shown as 2/4/8/16GB optional, with 64GB TF card (system file written).

Applications

• ROS2 learning and robotics education
• SLAM mapping, navigation, and path planning development
• Computer vision projects with OpenCV and MediaPipe
• Multi-robot synchronous control and RViz-based simulation workflows

Manuals

• Tutorial: http://www.yahboom.net/study/MicroROS-Pi5

For configuration selection, pre-sales questions, and technical support, contact https://rcdrone.top/ or email support@rcdrone.top.

Details

Build ROS2 projects on Raspberry Pi 5 with a compact robot car designed for vision, mapping, and navigation.

A complete development platform that combines ROS2 Humble, Python, and AI vision workflows for real robot behavior.

Core capabilities include onboard computing, LiDAR perception for obstacle-aware navigation, and AI visual recognition.

Get productive faster with structured lessons, practical demos, and technical support for setup and troubleshooting.

Designed around Raspberry Pi 5 power needs to keep USB current stable during camera and sensor workloads.

Choose the kit that fits your lab—reuse an existing Pi 5 or select a ready-to-run bundle.

A 2DOF pan/tilt camera mount enables tracking experiments and flexible viewpoints for OpenCV and MediaPipe tasks.

Interactive demos cover object tracking, color-follow autopilot, and gesture-based motion control.

Use TOF LiDAR for SLAM mapping, path planning, obstacle avoidance, and coordinated multi-robot navigation.

Control options range from phone-based driving with live video to synchronized multi-robot control by handle or keyboard.

Develop on ROS2 Humble and validate behaviors in RViz before moving from simulation to real-world runs.

A dual-controller design offloads real-time motor and sensor tasks to ESP32 while Raspberry Pi 5 handles ROS and vision.

An exploded layout makes it easy to identify key modules for maintenance, upgrades, and wiring.

Mechanical details focus on durability, airflow, wiring access, and sensor-ready integration for ongoing expansion.

Core components are organized for quick access—LiDAR, pan/tilt camera, and the MicroROS expansion/control board.

A step-by-step curriculum covers setup, robot control, perception, mapping, and common ROS2 workflows.

Deeper lessons include perception pipelines, navigation stacks, and microcontroller-side development tasks.

Open-source project structure helps you locate demos quickly and adapt code into your own ROS2 packages.

MicroROS-Pi5 ROS2 robot resources include organized training materials with English subtitles, technical support, and downloadable 3D model files.

MicroROS Robot-Pi5 dimensions and a quick spec overview help you plan chassis space and ROS2 (Humble) setup around the Raspberry Pi 5 controller.

The MS200 LiDAR and 2DOF camera PTZ module list key setup specs like 360° scan angle, 0.03–12 m range, and operating voltages.

The 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.