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$654
UGV Beast
Open-Source Off-Road Tracked Al Robot, Based On ROS 2
Offers More Creative Potential And Possibilities
【Integrates Various ROS 2 Mapping Methods】
[] Meet The Needs Of Mapping In Different Scenarios
【Multiple Cost-Effective Sensors】
[] Adopts Multiple Sensors With High Cost-Effectiveness And Practicality
【Auto Exploration And Mapping】
[] Using SLAM Toolbox To Implement Mapping And Navigation Functions Simultaneously In Unknown Environments, Simplifying The Task Execution Process. The UGV Robot Can Autonomously Explore Unknown Areas And Complete The Mapping, Suitable For Unmanned Applications
【Supports Natural Language Interaction】
[] Adopts Large Language Model (LLM) Technology, Users Can Give Commands To The Robot By Natural Language, Enabling It To Perform Tasks Such As Moving, Mapping, And Navigation
【Provides Web Console Tool】
[] You Can Use The Basic ROS 2 Functions On The Web Without Installing A Virtual Machine On The PC, Supports Cross-Platform Operation On Android Or IOS Tablets. Users Can Simply Open A Browser And Control The Robot For Moving, Mapping, Navigation, And Other Operations
【ROS2 Node Command Interaction】
[] Users Can Send Control Commands To The Robot By A Script For Performing Operations Such As Moving, Obtaining The Current Location, And Navigating To A Specific Point, Etc. Which Is More Convenient For Secondary Development
【Gazebo Simulation Debugging】
[] Provides Gazebo Robot Mode And Complete Functionality Library For Simulation Debugging, Helping You Verify And Test The System During The Early Stages Of Development
【Continuing The Adventure As Night Falls, Supports Tactical Extension】
[] 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
【Standard Aluminum Rail】
[] 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
【Supports Driving In Complex Terrain】
[] Adopts Tracked Mobile Robot Chassis With Independent Suspension Systems For More Stable Off-Road Crossing Ability
【Easy To Control Via 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
【WebRTC Real-Time Video Transmission】
[] 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
【Recognition, Tracking, And Targeting】
[] 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
【Face Detection: Automatic Picture Or Video Capturing】
[] Based On OpenCV To Achieve Face Recognition, Supports Automatic Photo Taking Or Video Recording Once A Face Is Recognized
【Gesture Recognition: 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 blacklight control
【More MediaPipe Demos For Easily Creating 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
【40PIN GPIO Extended Header】
[] The Robot Only Occupies The URAT Interface Of The Raspberry Pi GPIO For Communication, Adapting Outer Side 40PIN Header Of The Driver Board For Expanding More Peripherals And Functions
【Obtains Real-Time Information Feedback】
[] Real-Time Monitoring The Operating Status Of The Robot
【Web Page Command Line Tool】
[] Multiple Functions For Easier Expansion
[] Quick To Set Up, Easy To Expand
[] Easily Customize And Add New Functions Without Modifying Front-End Code
【ESP-NOW Wireless Communication 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
【Gamepad Control For Better Operation Experience】
[] 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 4G/5G Expansion】
[] 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.
【Realizes Remote Control Across The Internet】
[] 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.
【Supports Installing Smartphone Holder】
[] 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
【Cross-Platform Interactive Tutorial 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
【Rich Tutorial Resources】
[] We Provide Complete Tutorials And Demos To Help Users Get Started Quickly For Learning And Secondary Development
【Open-Source All Demos】
[] Full Dual-Controller Technology Stack
【Product Show】
【Outline Dimensions】