Hiwonder JetHexa ROS Hexapod Robot Kit Powered by Jetson Nano with Lidar Depth Camera Support SLAM Mapping and Navigation

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Description

In JetHexa tutorial: schematics, source codes, videos & experimental projects are provided. https://www.hiwonder.com.cn/store/learn/105.html. Product Description Hiwonder JetHexa is a hexapod robot powered by NVIDIA Jetson Nano and supports Robot Operating System (ROS). It leverages mainstream deep learning frameworks, uses OpenCV for image processing, incorporates MediaPipe development, enables YOLO model training, and utilizes TensorRT acceleration. Equipped with Lidar & Supports SLAM Mapping Navigation It is driven by an intelligent serial bus servo which provides over-temperature protection and antiblocking function. lts up to 240° rotation range extends JetHexa's exploration ranges. 3D Depth Camera & Depth Image Processing The 3D depth camera can not only realize AI visual game-play, but also enable advanced gameplay such as depth image data processing and 3D visual mapping navigation. 6CH Far-field Microphone Array The 6CH far-field microphone array and speakers support sound source positioning, voice recognition control, voice navigation and other functions. Intelligent Bus Servo JetHexa is equipped with a 35KG high-torque smart bus servo, which has high precision, feedback, and convenient wiring. Function List 3D Vision AI Upgraded Interaction JetHexa is equipped with a 3D depth camera, supports 3D vision mapping and navigation, and can obtain 3D point cloud images. Through deep learning, it can realize more AI vision interactive gameplay. 3D Depth Camera Equipped with a Astra Pro Plus depth camera,JetHexa can effectively perceive environmental changes, allowing for intelligent Al interaction with humans. RTAB-VSLAM 3D Vision Mapping Navigation 3D depth camera employs RTAB SLAM algorithm to capture depth point cloud images of the environment so as to create a 3D colored map. This advanced mapping capability allows JetHexa to carry out tasks such as navigation, obstacle avoidance, and global relocalization. Depth Map Data, Point Cloud Through the correspondin