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Raspberry Pi UGV Rover ROS2 PT AI OpenCV Robot Car MediaPipe

$578

Brand:SpotPear
SKU:0101628
Date:2024-09-30 15:24
No:
Out of Stock

UGV Rover

Open-Source 6 Wheels 4WD Al Robot, Based On ROS 2

Offers More Creative Potential And Possibiljties

【Overview】
[] UGV Rover

[] Open-Source 6 Wheels 4WD Al Robot, Based On ROS 2

[] Offers More Creative Potential And Possibilities

【Features At A Glance】

The UGV Rover ROS2 Kit is an AI robot designed for exploration and creation with excellent expansion potential, based on ROS 2 and equipped with Lidar and depth camera, 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 Raspberry Pi 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 Rover Web Application without downloading any software, just open your browser and start your journey. You can use the basic ROS 2 functions of the robot without installing a virtual machine on the PC. Supports high-frame rate real-time video transmission and multiple AI Computer Vision functions, the UGV Rover 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.

【Based On Raspberry Pi】
[] Supports Raspberry Pi 5 / Raspberry Pi 4B, With Powerful Computing Performance To Handle More Complex Tasks, Offering More Possibilities

【Dual-Controller Design, Provides Efficient Collaboration And Upgraded Performance】
[] 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


【Raspberry Pi OS + ROS2 Docker】
[] Ensures Advanced Decision-Making Performance Of Robot And System Compatibility At The Same Time. Supports All AI Functions Of The Previous AI Kit Series Products

【360° Flexible Omnidirectional Pan-Tilt】
[] Equipped With 5MP 160° Wide-Angle Camera For Capturing Every Detail


The Pan-Tilt adopts high-torque bus servos with excellent expansion potential, providing a better control experience as FPS games
【Open Source For All ROS 2 Development Resources】
[] Open Source For All Demos Of Host Controller And Sub Controller, Including Robot Description File (URDF Model), Sensor Data Processing Node Of Sub Controller, Kinematic Control Algorithms, And Various Remote Control Nodes

【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】
[] High-Brightness LED Light For Ensuring Clear Images In Low-Light Conditions

【Suitable For Tactical Extension】
[] 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】
[] 6 Wheels × 4WD Design, Using 6 Wheels Can Provide A More Stable Platform And Larger Contact Area, While 4WD Can Provide Stronger Power And Traction To Deal With Various Terrains And Obstacles

【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


【Intelligent Object Recognition】
[] Supports Recognizing For Many Common Objects With The Default Model

【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

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

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