UGV Beast Open-source Off-Road Tracked AI Robot, Dual controllers, All-metal Body, Computer Vision, Suitable for Raspberry Pi 5
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UGV Beast Open-source Off-Road Tracked AI Robot, Dual controllers, All-metal Body, Computer Vision, Suitable for Raspberry Pi 5, With Pan Tilt Module


The UGV Beast is an AI robot designed for exploration and creation, with great expansion potential. It seamlessly connects your imagination to reality, suitable for tech enthusiasts, makers, or beginners in programming, it is your ideal choice for exploring the world of intelligent technology.
Equipped with the high-performance Raspberry Pi computer to handle complex strategies and functions while inspiring your creativity. Adopts dual-controller design, combines the high-level AI functions of the host controller with the high-frequency basic operations of the sub controller, ensuring that every operation is accurate and smooth.You can easily control it remotely via the UGV Beast Web Application without downloading any software, just open your browser and start your journey. Supports high-frame rate real-time video transmission and multiple AI Computer Vision functions, the UGV Beast is an ideal platform to realize your ideas and creativity!
Kit Selection
Optional Pan-Tilt Module (PT Version only) for better expansion potential. Options for host controller (Raspberry Pi 4B / Raspberry Pi 5), or you can choose the Acce Version if you've got a Pi. All kits are equipped with a camera, mounting accessories, TF card, cooling fan, etc.
Model | UGV Beast PT PI4B/PI5 AI Kit | UGV Beast PT PI4B/PI5 AI Kit Acce | UGV Beast PI4B/PI5 AI Kit | UGV Beast PI4B/PI5 AI Kit Acce |
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Dimension | 232×197×252mm | 232×197×122mm | ||
Weight | 2350 ±5g | 2034 ±5g | ||
Chassis height | 26mm | |||
Pan-Tilt DOF | 2 | - | ||
Pan-Tilt SERVO TORQUE | 30KG.CM | - | ||
Pan-Tilt SERVO | ST3215 Servo | - | ||
Host controller | RPi 4B 4GB / RPi 5 4GB | NOT included | RPi 4B 4GB / RPi 5 4GB | NOT included |
Host System support | Debian Bookwrom | |||
ROS2 Version | ROS2-HUMBLE-LTS | |||
Camera FOV | 160° | |||
Power supply | 3S UPS Module | |||
Battery support | 18650 lithium battery x 3 (NOT included) | |||
Demo control methods | Web application / Jupyter Lab interactive programming | |||
Default Max speed | 0.35m/s | |||
Number of Driving wheels | 2 | |||
Suspension material | Stainless steel | |||
Track width | 40mm | |||
Minimum turning radius | 0M (In-situ rotation) |
The host controller adopts Raspberry Pi for AI vision and strategy planning, and the sub controller uses ESP32 for motion control and sensor data processing

equipped with 5MP 160° wide-angle camera for capturing every detail


Supports Pan-Tilt drag-and-drop control via mouse or touch panel of the laptop, providing a better control experience as FPS games
High-brightness LED light for Ensuring Clear Images In Low-Light Conditions

Comes with 21mm wide rail and 30KG.CM high precision & high-torque bus servo for tactical extension

Comes with 2 × 1020 European standard profile rails, and supports installing additional peripherals via the boat nuts to meet different needs, easily expanding the special operation scenarios

Can be used to install a variety of peripherals, including D500 lidar, STL-27L lidar, camera, or other modules. Open source for DXF drawing and 3D model, which is more convenient for secondary development.

No App installation required, allows users to connect and control the robot by mobile phones, tablets and computers via browser Web App. Supports shortcut key control such as WASD and mouse control when using a PC with keyboard

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

based on OpenCV to achieve color recognition and automatic Targeting. supports One-key Pan-Tilt control and automatic LED lighting, allows expansion for more functions

based on OpenCV to achieve Face recognition, supports automatic photo taking or video recording once a face is recognized

supports recognizing for many common objects with the default model

Combines OpenCV and MediaPipe to realize gesture control of Pan-Tilt and LED

Gesture control for photo taking

LED ON/OFF and blacklight control
MediaPipe is an open-source framework developed by Google for building cross-platform multimedia processing pipelines, provides a set of pre-built components and tools, its high-performance processing capability enables the robot to respond to and process complex multimedia inputs such as real-time video analytics.

Face Recognition

Attitude Detection
Integrated with Vision line tracking function on the Computer Vision demo, comes with yellow tape for easier path planning. Users can understand the basic algorithms of autonomous driving with this simple demo

Reserved space on the mounting plate with M2.5 mounting holes, for installing D500 / STL27L LIDAR or other peripherals

* Comes with screws and cables for installing the D500 LIDAR, please refer to WIKI for more details. The D500 LIDAR and battery set are NOT included.