UGV Beast ROS 2 Open-source Off-Road Tracked AI Robot, Dual controllers, Computer Vision, All-metal Body, Flexible and Expandable, Suitable for Raspberry Pi 4B / Raspberry Pi 5
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Description
The UGV Beast is an open-source, off-road tracked AI robot designed for advanced robotics research and education. Equipped with dual controllers and a rugged all-metal body, this versatile platform supports computer vision and is fully compatible with the Raspberry Pi 4B and Raspberry Pi 5. It is the ideal high-performance development kit for South African students, educators, and makers exploring ROS 2.
Rugged all-metal tracked chassis
Built with a highly durable all-metal body, this off-road tracked robot easily navigates challenging terrains. The robust mechanical structure ensures stability and longevity during demanding outdoor testing.
Advanced ROS 2 open-source platform
Leverage the power of the Robot Operating System 2 (ROS 2) for complex algorithm development and testing. This open-source framework allows developers to easily implement mapping, localisation, and navigation.
Dual controller architecture
The system features dual controllers to manage high-level AI processing and low-level hardware control independently. This architecture ensures real-time responsiveness and reliable execution of movement commands.
Integrated computer vision capabilities
Capture and process real-time visual data to enable advanced AI features such as object tracking, lane detection, and obstacle avoidance. The platform is designed to seamlessly interface with high-resolution cameras.
Raspberry Pi 4B and 5 support
Designed specifically to accommodate either the Raspberry Pi 4B or the high-performance Raspberry Pi 5. This compatibility provides ample processing power for demanding machine learning and computer vision tasks.
Flexible and expandable hardware
The open physical layout and rich interfaces allow users to easily mount additional sensors, LiDAR, or robotic arms. This makes it a highly adaptable platform for custom research and development projects.
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