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The UGV Beast is an AI robot designed for exploration and creation, with excellent expansion potential, seamlessly connecting your imagination with reality. Suitable for tech enthusiasts, makers, or beginners in programming, it is your ideal choice for exploring the world of intelligent technology.
Powered by the high-performance Jetson Orin series computer (not included) to meet the challenges of complex strategies and functions, and inspire 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, making every operation accurate and smooth.
Easy to be controlled remotely via 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!
The host controller adopts Jetson Orin Nano for AI vision and strategy planning, and the sub controller uses ESP32 for motion control and sensor data processing. Improves the processing efficiency and response speed of the host computer without bearing all tasks. The sub controller focuses on basic functions to ensure the accurate and smooth actions of robot.
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 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 via mobile phones, tablets and computers via browser Web App. Supports shortcut key control such as WASD and the mouse via 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.
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.
Integrated with vision line tracking function on the Computer Vision demo, comes with yellow tape for easier planning a path for the robot. 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 page for more details. The D500 Lidar and battery set are note included.
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.
Used as the sub controller of the robot, onboard ESP32 module and can be controlled via serial port, http request, ESP-NOW and other communication protocols, provides a web application for some basic control of the robot. ESP32 can handle low-level computations for the robot, such as high-frequency PID controller for controlling wheel speed, high-frequency inverse kinematics calculations for robotic arm linkages, position interpolation calculation, Pan-Tilt angle control and OLED screen control, etc. ESP32 is also responsible for data reading of various sensors, such as IMU (9-axis attitude sensor) and INA219 (battery voltage detection), and can independently achieve the camera vertical stabilization function, effectively saving computing and IO resources for the host controller.
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 communicate with each other without IP or MAC address, 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.
Our web application demos are based on WebRTC for real-time video transmission. WebRTC (Web Real-Time Communications) is a technology that enables web applications and sites to establish peer-to-peer connection and capture optionally stream audio and/or video media, as well as to exchange arbitrary data between browsers without requiring an intermediary. We provide comprehensive Ngrok tutorials to help you get started quickly and realize robot control across the internet.
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. It 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 installing larger lithium battery set with XH2.54 interface to replace the UPS module. Please refer to the open-source drawing for the detailed internal space dimensions.
2mm thickness aluminum alloy body, durable and reliable. Tracked robot chassis, excellent shock absorbing performance.
Supports quick response without occupying the resources for the host controller
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.
Onboard dual-channel microphone and speaker header, USB HUB interface for connecting Lidar and 3.5mm audio jack for external audio connection.
Note: NVIDIA Jetson Orin Nano is not included in the package.