Waveshare UGV Rover ROS 2 Open-source 6 Wheels 4WD AI Robot Suitable for Raspberry Pi 4B / Raspberry Pi 5 Dual controllers, All-metal Body, Flexible and Expandable
The UGV Rover ROS 2 Open-source 6-Wheel 4WD AI Robot is a robust, all-metal mobile robotics platform designed for versatile development and real-world navigation. Featuring dual controllers, a flexible and expandable chassis, and seamless ROS 2 integration, it delivers reliable performance for autonomous tasks and intelligent robotics projects. Compatible with Raspberry Pi 4B and Raspberry Pi 5, this rover is perfect for learners, innovators, and developers looking to build advanced AI robotics systems with powerful hardware and modular expandability.
Features
Supports Pan-Tilt drag-and-drop control via mouse or touch panel of the laptop, providing a better control experience as FPS games
Based on Raspberry Pi
Designed to support both Raspberry Pi 5 and Raspberry Pi 4B, this robot leverages the strong computing capabilities of the Pi ecosystem to handle more complex tasks with ease. Its expandable architecture unlocks more possibilities for AI, automation, and ROS 2 development.
Advanced AI Recognition & Tracking
Based on OpenCV, supports color recognition and automatic targeting with one-key Pan-Tilt control and auto LED lighting. Expandable for additional AI functions.
Face Detection & Recognition
Automatically captures photos or records videos when a face is detected, providing enhanced security and AI interaction.
Cross-Platform Web Control
No app installation required! Simply connect via a web browser on mobile, tablet, or PC. Supports WASD keyboard shortcuts and mouse control for seamless navigation.
WebRTC real-time video transmission
Adopts Flask lightweight web application, based on WebRTC ultra-low latency real-time transmission, using Python language and easy to extend, working seamlessly with OpenCV

Features at a glance

Multiple Autonomous Navigation Modes
UGV Rover supports multiple autonomous navigation modes, allowing it to navigate complex environments with precision. Whether following predefined paths, avoiding obstacles, or performing AI-assisted route planning, the robot adapts intelligently to real-world terrains.
