Hiwonder ClawPi ROS2 AI Robot Car – Raspberry Pi 5 Mecanum Robot with LiDAR SLAM, AI Vision, OpenClaw & Multimodal LLM

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 Deeply integrated with the OpenClaw agent, ClawPi can be controlled through a PC or app, breaking device and scenario limitations. 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 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 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 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 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 Multimodal Large Al Models for Embodied Intelligence AI Large Models × OpenClaw Smart Logistics Handling Large AI Models × SLAM Mapping & Navigation Smart Autonomous Transport Visual Object Tracking ClawPi automatically recognizes and locks onto targets in complex environments for real-time tracking. Traffic Light Recognition ClawPi detects traffic light colors in its field of view to control the robot's forward movement and stops. Steering Decision Using its HD camera, ClawPi recognizes directional signs to determine its turning direction. 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 Feature Comparison Hardware Features ❮ ❯ ❮ ❯ Specification Parameters Dimensions 313.5 × 170 × 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 × 246 × 72 mm Package weight Approx. 1.67 kg Packing List Specifications Dimensions 313.5 × 170 × 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 × 246 × 72 mm Package weight Approx. 1.67 kg