ClawPi Ultimate Kit in grey with grey mecanum wheels: camera on a pan-tilt, lidar, voice box, screen and a 2DOF arm

Mobile and ROS robots

ClawPi (Grey)

ClawPi in grey: a Raspberry Pi 5 ROS 2 mecanum car, with voice, lidar and a 2DOF arm in the higher kits.

Raspberry Pi
Suggested for secondary
Suggested for university

ClawPi is a ROS 2 robot car that Hiwonder designed for AI and robotics education, powered by a Raspberry Pi 5 on a mecanum wheel chassis. This listing is the grey version, with a grey frame and grey mecanum wheels; a black version is listed separately. Every kit has an HD camera on a 2DOF pan-tilt, a screen and a 4-channel line follower, and works with OpenCV, MediaPipe and YOLO26. The Standard Kit adds an AI voice interaction box for large AI models and the OpenClaw AI agent, the Advanced Kit adds a TOF lidar for SLAM mapping and navigation, and the Ultimate Kit adds a 2DOF robotic arm for grasping and carrying. The code is open source and in Python, with tutorials.

Zeta42 is an authorised Hiwonder partner in the Middle East.

Configurations

Choose how it ships.

Model: Starter Kit · Standard Kit · Advanced Kit · Ultimate Kit
Controller: Without Raspberry Pi Controller · With Raspberry Pi 5 (2GB) · With Raspberry Pi 5 (4GB) · With Raspberry Pi 5 (8GB) · With Raspberry Pi 5 (16GB)

What it does

Built for.

Four kits
Starter: AI vision, Wi-Fi video, sensors and app control. Standard: adds the WonderEcho Pro AI voice box, offline voice interaction, and basic large AI model and OpenClaw applications. Advanced: adds the TOF lidar for SLAM mapping and navigation. Ultimate: adds the 2DOF robotic arm.
OpenClaw and large AI models
From the Standard Kit up, ClawPi takes voice or text instructions from a PC or app, breaks the task into steps, decides what to do and carries it out, through multimodal large AI models and the OpenClaw agent.
Lidar SLAM
In the Advanced and Ultimate kits, the TOF lidar maps the room in real time and handles global path planning, dynamic obstacle avoidance and multi-point cruising.
Vision on a pan-tilt
Two anti-blocking servos turn the camera 130° vertically and 180° horizontally. With OpenCV, ClawPi identifies colours and objects and tracks them, reads traffic lights, and follows direction signs.
Mecanum movement
Four mecanum wheels move it forwards, sideways, diagonally and on the spot, and it follows lines with the camera or with the 4-channel line sensor.
An arm for transport
In the Ultimate Kit, the 2DOF arm grasps targets the camera has found and carries them, for model logistics and autonomous driving transport.

Where it is used

Applications.

ROS 2 teaching on Raspberry Pi 5, up to SLAM navigation (Advanced and Ultimate kits)
Embodied AI projects with voice and text commands (Standard Kit and up)
Model logistics and autonomous driving scenarios (Ultimate Kit)
Computer vision in Python with OpenCV, MediaPipe and YOLO26

Specifications

The full sheet.

Dimensions: 313.5 × 170 × 170 mm
Product weight: 1.13 kg (Ultimate Kit)
Body material: Aluminum alloy bracket
Hardware: Raspberry Pi 5 controller and expansion board
Camera resolution: 480P
Camera pan-tilt: 2DOF, vertical 130°, horizontal 180°
Servo model: Pan-tilt: HPD-0127 stall-proof servo; robotic arm: HPD-0127 / LFD-01 anti-stall servo
Display: 1.9-inch screen (all kits)
AI voice interaction box: WonderEcho Pro (Standard, Advanced and Ultimate Kit)
Lidar: TOF lidar (Advanced and Ultimate Kit)
Robotic arm: 2DOF, maximum gripper opening 147 mm (Ultimate Kit)
Power supply: 2200 mAh battery
Battery and charger: 7.4V 2200mAh battery; 8.4V 2A charger
Battery life: Approx. 60 minutes
Software: PC VNC software + iOS / Android app
Communication: WiFi, Ethernet
Control method: PC control / mobile control
Package dimensions: 376 × 246 × 72 mm
Package weight: Approx. 1.67 kg