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Details
It is recommended to purchase UGV Rover PT PI5 ROS2 Kit if you want to use Raspberry Pi as the host controller, or the UGV Rover PT Jetson Orin ROS2 Kit if you want to use NVIDIA Jetson Orin Nano as the host controller
Both kits offer excellent reliability and are equipped with a high-torque 2-axis Pan-Tilt, D500 Lidar, and OAK-D Lite depth camera. We provide comprehensive basic functionalities and ROS2 tutorials to help beginners quickly learn and apply robotics knowledge. The robot kits offer superior expandability, allowing users to deploy various applications.
The product model name includes: chassis type, Pan-Tilt option, host controller model, and function type.
Model Name | description | Corresponding Module | |
---|---|---|---|
Chassis type | UGV Rover | 6 Wheels 4WD chassis | |
UGV Beast | Independent suspension off-road tracked chassis | ||
Pan-Tilt option | PT | with 2-axis Pan-Tilt | |
Host controller | Jetson Orin | Using Jetson Orin Nano as host controller. Note: the kits with "Acce" at the end of the model name do not include the host controller, and require users to prepare their own Jetson Orin board. | |
PI 5 | Using Raspberry Pi 5 as host controller. Note: the kits with "Acce" at the end of the model name do not include the host controller, and require users to prepare their own Raspberry Pi 5 and its heatsink. | ||
PI 4B | Using Raspberry Pi 4B as host controller. Note: the kits with "Acce" at the end of the model name do not include the host controller, and require users to prepare their own Raspberry Pi 4B and its heatsink. | ||
Acce | The kits with "Acce" at the end of the model name do not include the host controller, you can choose the Acce Version if you've got a host board. | ||
Function type | AI Kit | Basic AI kit with a 5MP ultra-wide-angle camera, comes with computer vision functionality and tutorials. | |
ROS2 Kit | On the basis of the AI Kit, equipped with a D500 360° Lidar and OAK-D Lite depth camera, comes with the complete ROS2 functionality and tutorials. |
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.
Equipped with the high-performance Jetson Orin series computer 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!
Options for host controller (Jetson Orin Nano 4GB Kit), or you can choose the Acce Version if you've got a Jetson Orin module (including its baseboard).
Model | UGV Beast PT Jetson Orin AI Kit (Jetson Orin Nano 4GB Kit + UGV Beast PT accessories pack) |
UGV Beast PT Jetson Orin AI Kit Acce (the UGV Beast PT accessories pack only) |
||
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Dimension | 196*231*286 mm | |||
Weight | 2854.5±5 g | 2679.5±5 g | ||
Chassis height | 26mm | |||
Pan-Tilt DOF | 2 | |||
Pan-Tilt SERVO TORQUE | 30KG.CM | |||
Pan-Tilt SERVO | ST3215 Servo | |||
Host controller | Jetson Orin Nano 4GB Kit | NOT included | ||
Host System support | ubuntu 22.04 | |||
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 | 035m/s | |||
Number of Driving wheels | 2 | |||
SUSPENSION MATERIAL | Stainless steel | |||
TRACK WIDTH | 40mm | |||
Minimum turning radius | 0M (In-situ rotation) |
optional for Jetson Orin Nano 4GB Kit, provides up to 20 TOPS AI Performance. Comes with a 256 GB NVMe Solid State Drive, high-speed reading/writing, meet the needs of large AI project development
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
Comes with 21mm wide rail and 30KG.CM 45RPM high-torque bus servo for tactical extension
for reference only, the accessories in the picture above are NOT included
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
mounting plate
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.
Cross-Platform Web Application
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
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
Automatic picture or video capturing
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
AI Interaction with body language
Combines OpenCV and MediaPipe to realize gesture control of Pan-Tilt and LED
Gesture control for photo taking
LED ON/OFF and brightness control
Complex Video Processing Tasks
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 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 for more details. The D500 LIDAR and battery set are NOT 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
Real-time monitoring the operating status of the robot
Multiple Functions for Easier Expansion
Quick to set up, easy to expand
Easily customize and add new functions without Modifying front-end code
between robots
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.
* 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
Develop while you learn
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
Full dual-controller technology stack
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
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
- 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.
- ESP32 module
- ESP32 module antenna connector
- Motor control interfaces
- Battery voltage detection IC
INA219 - Power supply
- USB communication / downloading
- Lidar USB connector
- ESP32-IO0 button
- ESP32-EN button
- I2C device interface
- Lidar UART interface
- Bus servo control interfaces
- Motor driver IC
TB6612FNG - Host controller 40PIN extended header
- Host controller connection header
- I2C device interface
- 9-axis IMU attitude sensor
ICM20948 - 12V switch controlled by ESP32-IO4
- 12V switch controlled by ESP32-IO5
Onboard dual-channel microphone and speaker header, USB HUB interface for connecting Lidar and 3.5mm audio jack for external audio connection
- Lidar UART to USB IC
- USB HUB IC
- Type-C port
- Lidar UART Interface
- 3.5mm AUX audio jack
- Audio amplifier IC
APA2068KAI-TRG
- Audio control IC
SSS1629A5 - Cooling fan power supply header
- Dual-track microphone
- Dual-track speaker header
* Resources for different product may vary, please check the wiki page to confirm the actually provided resources.