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  • AI-powered intelligent ROS robot with robot arm supporting SLAM mapping/navigation/autopilot/Python For engineering students and adults
  • AI-powered intelligent ROS robot with robot arm supporting SLAM mapping/navigation/autopilot/Python For engineering students and adults

AI-powered intelligent ROS robot with robot arm supporting SLAM mapping/navigation/autopilot/Python For engineering students and adults

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    I-driven intelligent ROS robot. A professional robotics platform for ROS learning and development, supporting Robot Operating System (ROS). It utilizes mainstream deep learning frameworks, combined with MediaPipe development, to enable YOLO model training. This combination provides a variety of 3D machine vision applications, including autonomous driving, automated grasping and transportation, and KCF target tracking.
    SLAM development and diverse configurations. Equipped with a powerful combination of 3D depth camera and LiDAR. It utilizes a variety of advanced algorithms, including gmapping, hector, Karto, and mapper, for precise multi-point navigation, TEB path planning, and dynamic obstacle avoidance. Using 3D vision, point cloud images of the environment can be captured for RTAB 3D mapping navigation.
    High performance vision robot arm. Includes a 5DOF vision robot arm with an intelligent serial bus servo system and 35kg of torque. The radius of motion is 410 millimeters and the payload capacity is 500 grams. A high-definition camera is located at the end of the arm to provide a first-person view for object grasping tasks. When combined with a depth camera and LiDAR, it excels at autonomous navigation for seamless transportation in unknown environments.
    Far-field voice interaction. The advanced suite includes 6 microphone arrays and speakers that allow for fascinating human-robot interaction applications, including text-to-speech conversion, voice wake-up, 360° sound source localization, offline speech recognition, voice control, voice-controlled mapped navigation, and more. JetAuto Pro integrates with vision robot arms to enable voice-controlled gripping and transportation.
    Cross-platform robot control. Multiple control methods such as the WonderAi app (iOS and Android compatible), wireless joystick, Robot Operating System (ROS), and keyboard allow you to control your robot however you want. You can command JetAuto Pro to perform specific actions by importing the appropriate code. Please note that the navigation application is only available for Android.
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