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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!
Model | UGV Beast PT PI4B/PI5 AI Kit Acce |
---|---|
Dimension | 232×197×252mm |
Weight | 2350 ±5g |
Chassis height | 26mm |
Pan-Tilt DOF | 2 |
Pan-Tilt SERVO TORQUE | 30KG.CM |
Pan-Tilt SERVO | ST3215 Servo |
Host controller | 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) |
Supports Raspberry Pi 5 / Raspberry Pi 4B, offering powerful computing performance for more possibilities
Connecting with Raspberry Pi 4B Connecting with Raspberry Pi 5
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
*** for reference only, the accessories in the picture above are NOT included
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
Adopts tracked mobile robot chassis with independent Suspension Systems for more stable off-road crossing ability
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.
The robot only occupies the URAT interface of the Raspberry Pi GPIO for communication, adapting outer side 40PIN header on the driver board for expanding more peripherals and functions
Equipped with audio driver board, Dual-track speaker, and onboard microphone, built in 3.5mm audio jack for connecting peripherals to achieve text-to-speech and audio playing
Real-time monitoring the operating status of the robot
Quick to set up, easy to expand
Easily customize and add new functions without Modifying front-end code
Based on ESP-NOW communication protocol, multiple robots can establish communication without IP or MAC addresses, achieving multi-device collaboration with 100-microsecond low-latency communication
Supports camera stabilization function based on IMU sensor to keep the image stable. Realizes IMU data reading, calculation and Pan-tilt control via sub controller, which will not occupy computing resources of the host
Comes with a wireless gamepad, making robot control more flexible. You can connect the USB receiver to your PC and control the robot remotely via the Internet. Provides open source demo for customizing your own interaction method
Supports installing 4G/5G module* for the application scenarios without WiFi
* You may need to use Tunneling Service such as Ngrok, Cpolar, or LocalTunnel to expose the local network service of the robot (Flask application) to the Internet so that you can control the robot from anywhere.
* Provides the usage tutorials of Ngrok only, we do not provide any Ngrok accounts or Servers. You can follow our tutorial to open your own Ngrok service, or choose other tunneling services according to your needs.
If you have a spare phone, you can install it on the robot via holder as below, using the phone to create a hotspot for the robot and achieving remote control across the internet at a lower cost
* Comes with a smartphone holder with 1/4″ screw in the package
Supports accessing Jupyter Lab via devices such as mobile phones and tablets to read the tutorials and edit the code on the web page, making development easier
We Provide Complete Tutorials And demos To Help Users Get Started Quickly For Learning and Secondary Development
Onboard high-efficiency UPS module, supports charging and discharging at the same time to ensure continuous standby time
* The 18650 batteries are NOT included
Supports quick response without occupying the resources for the host controller
Automatically creates a hotspot for accessing when there is no available network connection after powering on | Built in high-efficient active cooling for long-time operation of the host controller even when compiling complex ROS2 packages |
OLED display for real-time information displaying | Supports expanding external battery set via DC5521 port |