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Robot Car with Chatgpt Large AI Model ROS2 ROS1 Education Lidar SLAM Mapping Navigation AI Vision 6DOF Robotic Arm Voice Control Smart Sorting, Jetrover Developer Kit & Jetson Nano 4GB
Robot Car with Chatgpt Large AI Model ROS2 ROS1 Education Lidar SLAM Mapping Navigation AI Vision 6DOF Robotic Arm Voice Control Smart Sorting, Jetrover Developer Kit & Jetson Nano 4GB
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AI Robot Car for ROS2
AI Robot Car for ROS2 is a professional robotic platform for ROS1 and ROS2 learning and development, powered by a Jetson controller. It features a 6-DOF robot arm, lidar, 3D depth camera, LCD, and microphone array for SLAM mapping, navigation, obstacle avoidance, 3D grasping, voice interaction, and other robotics applications. The platform supports open-source code and learning resources.
Specifications
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Included Components: JetRover ROS Robot
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Age Range: Adult
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Recommended Age: 15 years and up
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Material Type: Aluminum
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Educational Objective: Programming Learning
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Power Source: Battery (Rechargeable)
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Supported Battery Type: Built-in lithium-ion battery
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Operation Mode: Manual
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Number of Batteries: 1 Lithium Ion batteries required. (included)
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Theme: Science Fiction
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Color: Green
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Subject Character: Smart Robot Car
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Item Dimensions: 16.14 x 12.6 x 13.78 inches
Features
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ROS1 & ROS2 Support: Supports ROS1 and ROS2 for robotics learning and development.
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Jetson Controller: Powered by a Jetson controller and supports mainstream deep learning frameworks, MediaPipe development, and YOLO model training.
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SLAM Development: Combines a 3D depth camera, lidar, and microphone array with algorithms including gmapping, hector, karto, and cartographer.
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Navigation & Obstacle Avoidance: Supports multi-point navigation, TEB path planning, and dynamic obstacle avoidance.
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6-DOF Robot Arm: Includes a 6-DOF vision robot arm with intelligent serial bus servos featuring a torque of 35KG.
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Vision Camera: An HD camera positioned at the end of the robot arm provides a first-person perspective for object-grabbing tasks.
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3D Vision: Integrates 3D vision with a 6-microphone array for perception, reasoning, and robot interaction applications.
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Multiple Control Methods: Supports control through a mobile app, wireless handle, ROS, and keyboard.
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Learning Resources: Includes open-source code and learning resources for robotics development.



