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Yahboom ROS2 Python eLearning Kit Raspberry Pi 4 B AI Smart Robotic Car Kit for Teens Adults Voice Recognition Conversation, Autopilot, Depth Camera Lidar Mapping Navigation Project Design

Yahboom ROS2 Python eLearning Kit Raspberry Pi 4 B AI Smart Robotic Car Kit for Teens Adults Voice Recognition Conversation, Autopilot, Depth Camera Lidar Mapping Navigation Project Design

Yahboom
  • Rosmaster R2 has 3 versions (Standard, Superior, Ultimate), which can be used with 5 development boards (Raspberry Pi 4B, Jetson Nano 4GB, JetsonOrin Nano/NX, Jetson Xavier NX), please pay attention to whether the version you choose includes development board. Competition-level Ackerman steering structure, Rosmaster R2 robot car uses the steering method of modern cars and adopts aluminum alloy Ackerman chassis structure. When the robot car turns, the angles of the inner and outer wheels are different, and the turning radius of the inner tire is less than The turning radius of the outer tires can maximize the performance of the robot car. ROSMASTER R2 based on robot operating system. It is equipped with high-performance hardware configuration such as lidar, depth camera, and voice interaction module. It can realize applications such as robot motion control, remote control communication, mapping and navigation, following obstacle avoidance, Autopilot, human body feature action recognition, and voice interactive control. Multi-platform linkage, rosmaster X3 supports a variety of remote control methods such as mobile phone APP, handle, ROS system, computer keyboard, etc. It can control your robot car at any time, import your code, and is an artificial intelligence robot that listens to your instructions. Note, The Map Navigation APP only supports Android phones Excellent hardware configuration, aluminum alloy body, 360 omnidirectional Mecanum wheels, optional lidar, high-quality depth camera, optional voice interaction module, professionally designed expansion board. This is a professional ROS robot that supports more development. Users can develop and learn again in the existing courses.
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