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ClawPi ROS2 AI Robot Car – Raspberry Pi 5 Mecanum Robot

SKU: HIWND-906

₹ 45,399.99

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With Raspberry Pi 5 (2GB)
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ClawPi ROS2 AI Robot Car – Raspberry Pi 5 Mecanum RobotStarter Kit / With Raspberry Pi 5 (2GB)₹ 45,399.99
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ClawPi ROS 2 AI Robot Car

Video

Hiwonder ClawPi ROS2 AI Robot Car with Raspberry Pi 5, Mecanum wheels, 2DOF robotic arm, LiDAR, and HD camera – supporting SLAM, OpenCV, face detection, autonomous driving, and ChatGPT integration.

Product Description

ClawPi is a ROS 2 embodied AI robot designed by Hiwonder for AI and robotics education, powered by Raspberry Pi 5. It packs high-performance hardware—including a Mecanum chassis, HD camera, TOF LiDAR, an AI voice module, and a 2DOF robotic arm—to fully support SLAM mapping, route planning, visual tracking, and multimodal AI deployment. From beginners to advanced developers, ClawPi covers all your full-stack development needs.

Beyond seamless compatibility with cutting-edge vision frameworks like OpenCV, MediaPipe, and YOLO26, ClawPi deeply integrates multimodal large AI models and the OpenClaw AI agent. This evolves it into a real-world AI assistant capable of autonomous thinking. Open-source and fully Python-ready with comprehensive tutorials, ClawPi empowers you to build your ultimate embodied AI robot!

Integrated with OpenClaw Agent

Integrated with OpenClaw Agent

Deeply integrated with the OpenClaw agent, ClawPi can be controlled through a PC or app, breaking device and scenario limitations.

Multimodal AI Integration

Multimodal AI Integration

Breaking free from rigid traditional commands, ClawPi processes remote voice or text inputs to autonomously decompose tasks, make smart decisions, and execute operations.

AI Vision & Tracking

AI Vision & Tracking

With built-in OpenCV vision algorithms, ClawPi can quickly identify colors and objects, calculate their positions in real time, and track them accurately.

Built-in High-Performance LiDAR

Built-in High-Performance LiDAR

The high-performance LiDAR delivers precise spatial awareness for real-time mapping and navigation. The system autonomously handles global path planning, enabling responsive dynamic obstacle avoidance and accurate multi-point cruising.

Dual-Controller Design for Efficient Collaboration

Dual-Controller Design for Efficient Collaboration

360° Omnidirectional Movement

360° Omnidirectional Movement

With 4 omnidirectional mecanum wheels, ClawPi can move 360°Different movement modes (move forward, horizontally, diagonally and rotate ) and excellent performance make it bold to challenge various complicated routes.

2DOF Pan-tilt for 360° View

2DOF Pan-tilt for 360° View

Equipped with two anti-blocking servos, pan-tilt can rotate 130°vertically and 180° horizontally, which contributes to 360° camera field of view.

ClawPi Function List

ClawPi Function List

Multimodal Large AI Models for Embodied Intelligence

Multimodal Large AI Models for Embodied Intelligence

AI Large Models Ɨ OpenClaw
Smart Logistics Handling

AI Large Models Ɨ OpenClaw Smart Logistics Handling

Large AI Models Ɨ SLAM Mapping & Navigation

Large AI Models Ɨ SLAM Mapping & Navigation

Smart Autonomous Transport

Visual Object Tracking

Visual Object Tracking

ClawPi automatically recognizes and locks onto targets in complex environments for real-time tracking.

Traffic Light Recognition

Traffic Light Recognition

ClawPi detects traffic light colors in its field of view to control the robot's forward movement and stops.

Steering Decision

Steering Decision

Using its HD camera, ClawPi recognizes directional signs to determine its turning direction.

Smart Transporting

Smart Transporting

ClawPi uses its 2DOF robotic arm to precisely grasp and transport targets within its field of view.

Full-Stack ROS Development Ecosystem
Key ROS 2 Features

LiDAR Applications

AI Vision Recognition & Target Tracking

Hand-Eye Coordination & Visual Interaction

What Can You Learn?

Feature Comparison

Feature Comparison

Hardware Features

Dual-Brain Architecture & Efficient Collaboration

Dual-Brain Architecture & Efficient Collaboration Packing List

High-Performance TOF LiDAR

2DOF Camera Pan-Tilt

2DOF Lightweight Robotic Arm

High-Resolution LCD Screen

WonderEcho Pro AI Voice Interaction Box

Hall Encoder Geared Motors

High-Rate 7.4V 2200mAh 10C Lithium Battery

Specification Parameters

Specification Parameters

Item Specification
Dimensions 313.5 Ɨ 170 Ɨ 170 mm
Product weight 1.13 kg (Ultimate Kit)
Body material Aluminum alloy bracket
Camera resolution 480P
Camera pan-tilt DOFs 2DOF, vertical 130°, horizontal 180°
Servo model Pan-tilt: HPD-0127 stall-proof servo, Robotic arm: HPD-0127 / LFD-01 anti-stall servo
Power supply 2200 mAh
Battery life Approx. 60 minutes
Hardware Raspberry Pi controller and expansion board
Software PC VNC software + iOS / Android app
Communication method WiFi, Ethernet
Control method PC control / Mobile control
Package dimensions 376 Ɨ 246 Ɨ 72 mm
Package weight Approx. 1.67 kg

Packing List

ClawPi Starter Kit Packing List

ClawPi Standard Kit Packing List

ClawPi Advanced Kit Packing List

ClawPi Ultimate Kit Packing List

What AI and vision features are built into the robot car?
It uses OpenCV vision algorithms for color and object detection, real time tracking, and multimodal AI with the OpenClaw agent for autonomous tasks.
What hardware features are included in the kit?
The system features a Mecanum chassis, Raspberry Pi 5, HD camera, TOF LiDAR and a 2DOF robotic arm for versatile sensing and manipulation.
How can I control and program the robot, and is ChatGPT supported?
It can be controlled through a PC or app via the OpenClaw agent, and supports remote voice or text inputs as well as ChatGPT integration.
What navigation and mapping capabilities are available?
The device supports SLAM mapping, route planning, and autonomous driving for real world AI deployment.
Is this platform suitable for learners and is there open source support?
Yes. It is open source and Python ready with tutorials to help beginners through advanced developers.
Welcome to the discussion thread for ClawPi ROS2 AI Robot Car – Raspberry Pi 5 Mecanum Robot
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Description
Ask AI about this product

ClawPi ROS 2 AI Robot Car

Video

Hiwonder ClawPi ROS2 AI Robot Car with Raspberry Pi 5, Mecanum wheels, 2DOF robotic arm, LiDAR, and HD camera – supporting SLAM, OpenCV, face detection, autonomous driving, and ChatGPT integration.

Product Description

ClawPi is a ROS 2 embodied AI robot designed by Hiwonder for AI and robotics education, powered by Raspberry Pi 5. It packs high-performance hardware—including a Mecanum chassis, HD camera, TOF LiDAR, an AI voice module, and a 2DOF robotic arm—to fully support SLAM mapping, route planning, visual tracking, and multimodal AI deployment. From beginners to advanced developers, ClawPi covers all your full-stack development needs.

Beyond seamless compatibility with cutting-edge vision frameworks like OpenCV, MediaPipe, and YOLO26, ClawPi deeply integrates multimodal large AI models and the OpenClaw AI agent. This evolves it into a real-world AI assistant capable of autonomous thinking. Open-source and fully Python-ready with comprehensive tutorials, ClawPi empowers you to build your ultimate embodied AI robot!

Integrated with OpenClaw Agent

Integrated with OpenClaw Agent

Deeply integrated with the OpenClaw agent, ClawPi can be controlled through a PC or app, breaking device and scenario limitations.

Multimodal AI Integration

Multimodal AI Integration

Breaking free from rigid traditional commands, ClawPi processes remote voice or text inputs to autonomously decompose tasks, make smart decisions, and execute operations.

AI Vision & Tracking

AI Vision & Tracking

With built-in OpenCV vision algorithms, ClawPi can quickly identify colors and objects, calculate their positions in real time, and track them accurately.

Built-in High-Performance LiDAR

Built-in High-Performance LiDAR

The high-performance LiDAR delivers precise spatial awareness for real-time mapping and navigation. The system autonomously handles global path planning, enabling responsive dynamic obstacle avoidance and accurate multi-point cruising.

Dual-Controller Design for Efficient Collaboration

Dual-Controller Design for Efficient Collaboration

360° Omnidirectional Movement

360° Omnidirectional Movement

With 4 omnidirectional mecanum wheels, ClawPi can move 360°Different movement modes (move forward, horizontally, diagonally and rotate ) and excellent performance make it bold to challenge various complicated routes.

2DOF Pan-tilt for 360° View

2DOF Pan-tilt for 360° View

Equipped with two anti-blocking servos, pan-tilt can rotate 130°vertically and 180° horizontally, which contributes to 360° camera field of view.

ClawPi Function List

ClawPi Function List

Multimodal Large AI Models for Embodied Intelligence

Multimodal Large AI Models for Embodied Intelligence

AI Large Models Ɨ OpenClaw
Smart Logistics Handling

AI Large Models Ɨ OpenClaw Smart Logistics Handling

Large AI Models Ɨ SLAM Mapping & Navigation

Large AI Models Ɨ SLAM Mapping & Navigation

Smart Autonomous Transport

Visual Object Tracking

Visual Object Tracking

ClawPi automatically recognizes and locks onto targets in complex environments for real-time tracking.

Traffic Light Recognition

Traffic Light Recognition

ClawPi detects traffic light colors in its field of view to control the robot's forward movement and stops.

Steering Decision

Steering Decision

Using its HD camera, ClawPi recognizes directional signs to determine its turning direction.

Smart Transporting

Smart Transporting

ClawPi uses its 2DOF robotic arm to precisely grasp and transport targets within its field of view.

Full-Stack ROS Development Ecosystem
Key ROS 2 Features

LiDAR Applications

AI Vision Recognition & Target Tracking

Hand-Eye Coordination & Visual Interaction

What Can You Learn?

Feature Comparison

Feature Comparison

Hardware Features

Dual-Brain Architecture & Efficient Collaboration

Dual-Brain Architecture & Efficient Collaboration Packing List

High-Performance TOF LiDAR

2DOF Camera Pan-Tilt

2DOF Lightweight Robotic Arm

High-Resolution LCD Screen

WonderEcho Pro AI Voice Interaction Box

Hall Encoder Geared Motors

High-Rate 7.4V 2200mAh 10C Lithium Battery

Specification Parameters

Specification Parameters

Item Specification
Dimensions 313.5 Ɨ 170 Ɨ 170 mm
Product weight 1.13 kg (Ultimate Kit)
Body material Aluminum alloy bracket
Camera resolution 480P
Camera pan-tilt DOFs 2DOF, vertical 130°, horizontal 180°
Servo model Pan-tilt: HPD-0127 stall-proof servo, Robotic arm: HPD-0127 / LFD-01 anti-stall servo
Power supply 2200 mAh
Battery life Approx. 60 minutes
Hardware Raspberry Pi controller and expansion board
Software PC VNC software + iOS / Android app
Communication method WiFi, Ethernet
Control method PC control / Mobile control
Package dimensions 376 Ɨ 246 Ɨ 72 mm
Package weight Approx. 1.67 kg

Packing List

ClawPi Starter Kit Packing List

ClawPi Standard Kit Packing List

ClawPi Advanced Kit Packing List

ClawPi Ultimate Kit Packing List

FAQ
What AI and vision features are built into the robot car?
It uses OpenCV vision algorithms for color and object detection, real time tracking, and multimodal AI with the OpenClaw agent for autonomous tasks.
What hardware features are included in the kit?
The system features a Mecanum chassis, Raspberry Pi 5, HD camera, TOF LiDAR and a 2DOF robotic arm for versatile sensing and manipulation.
How can I control and program the robot, and is ChatGPT supported?
It can be controlled through a PC or app via the OpenClaw agent, and supports remote voice or text inputs as well as ChatGPT integration.
What navigation and mapping capabilities are available?
The device supports SLAM mapping, route planning, and autonomous driving for real world AI deployment.
Is this platform suitable for learners and is there open source support?
Yes. It is open source and Python ready with tutorials to help beginners through advanced developers.
Reviews
Forum
Welcome to the discussion thread for ClawPi ROS2 AI Robot Car – Raspberry Pi 5 Mecanum Robot
Feel free to ask questions, share tips or report issues.
Add Post

For more discussion Click Here

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