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Description UGV Rover ROS 2 Open-source 6 Wheels 4WD AI Robot, Dual controllers, Computer Vision, Comes With Interactive Tutorials, All-metal Body, Flexible and Expandable, Suitable for Raspberry Pi 4B / Raspberry Pi 5 Features at a glanceThe 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 SelectionOptional 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.ModelUGV Rover PT PI4B/PI5 ROS2 KitUGV Rover PT PI4B/PI5 ROS2 Kit AcceUGV Rover PI4B/PI5 ROS2 KitUGV Rover PI4B/PI5 ROS2 Kit AcceDimension230.42×252.40×254.53mm230.42×252.40×153.55mmWeight2251±5g1935±5gChassis height25mmPan-Tilt DOF2-Pan-Tilt SERVO TORQUE30KG.CM-Pan-Tilt SERVOST3215 Servo-Host controllerRPi 4B 4GB / RPi 5 4GBNOT includedRPi 4B 4GB / RPi 5 4GBNOT includedHost System supportDebian BookwromROS2 VersionROS2-HUMBLE-LTSCamera FOV160°Power supply3S UPS ModuleBattery support18650 lithium battery x 3 (NOT included)Demo control methodsWeb application / Jupyter Lab interactive programmingDefault Max speed1.3m/sNumber of Driving wheels4Number of wheels6Tire diameter80mmTire width42.5mmMinimum turning radius0M (In-situ rotation)Based on Raspberry PiSupports Raspberry Pi 5 / Raspberry Pi 4B, with powerful computing performance to handle more complex tasks, offering more possibilitiesConnecting with Raspberry Pi 4B Connecting with Raspberry Pi 5Dual-Controller design, provides efficient collaboration and upgraded performanceThe host controller adopts Raspberry Pi for AI vision and strategy planning, and the sub controller uses ESP32 for motion control and sensor data processingRaspberry Pi OS + ROS2 DockerEnsures advanced decision-making performance of robot and system compatibility at the same time. Supports all AI functions of the previous AI Kit series products360° Flexible Omnidirectional Pan-Tiltequipped with 5MP 160° wide-angle camera for capturing every detailThe Pan-Tilt adopts high-torque bus servos with excellent expansion potential, providing a better control experience as FPS gamesopen source for all ROS 2 Development Resourcesopen 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 nodesIntegrates various ROS 2 mapping methodsMeet the needs of mapping in different scenariosGmapping 2D mapping Cartographer 2D mapping RTAB-Map 3D mappingmultiple cost-effective sensorsAdopts multiple sensors with high cost-effectiveness and practicalityAuto exploration and mappingUsing 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 applicationsSupports natural language interactionAdopts 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 navigationProvides Web console toolYou 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 operationsROS2 node command interactionUsers 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 debuggingProvides Gazebo robot mode and complete functionality library for simulation debugging, helping you verify and test the system during the early stages of developmentContinuing the adventure as night fallsHigh-brightness LED light for Ensuring Clear Images In Low-Light ConditionsSuitable for tactical extensionComes with 21mm wide rail and 30KG.CM high precision & high-torque bus servo for tactical extensionfor reference only, the accessories in the picture above are NOT includedStandard Aluminum railComes 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 scenariosNote: Only the rail, boat nuts, and M4 screws are included, other accessories should be purchased separately.Supports driving in complex terrain6 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 obstaclesEasy To Control ViaCross-Platform Web ApplicationNo 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 keyboardWebRTC real-time video transmissionAdopts Flask lightweight web application, based on WebRTC ultra-low latency real-time transmission, using Python language and easy to extend, working seamlessly with OpenCVRecognition, Tracking, and targetingbased on OpenCV to achieve color recognition and automatic Targeting. supports One-key Pan-Tilt control and automatic LED lighting, allows expansion for more functionsFace Detection:Automatic picture or video capturingbased on OpenCV to achieve Face recognition, supports automatic photo taking or video recording once a face is recognizedIntelligent Object Recognitionsupports recognizing for many common objects with the default modelGesture Recognition:AI Interaction with body languageCombines OpenCV and MediaPipe to realize gesture control of Pan-Tilt and LEDGesture control for photo taking LED ON/OFF and blacklight controlMore MediaPipe Demos for Easily CreatingComplex Video Processing TasksMediaPipe 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 Detection40PIN GPIO Extended HeaderThe 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 functionsObtains real-time information feedbackReal-time monitoring the operating status of the robotWeb page command line toolMultiple Functions for Easier ExpansionQuick to set up, easy to expandEasily customize and add new functions without Modifying front-end codeESP-NOW Wireless communicationbetween robotsBased 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 communicationGamepad Control for better operation ExperienceComes 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 methodSupports 4G/5G ExpansionSupports 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 internetOur 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 holderIf 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 packageCross-platform interactive tutorialDevelop while you learnsupports 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 easierRich Tutorial ResourcesWe Provide Complete Tutorials And demos To Help Users Get Started Quickly For Learning and Secondary Development Open-source all demosFull dual-controller technology stackProduct ShowOutline dimensions Resources & Services Package Content Weight: 6.285 kgUGV Rover PT PI4B ROS2 KitUGV Rover PT PI5 ROS2 KitUGV Rover PI4B ROS2 KitUGV Rover PI5 ROS2 Kit
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