• Based on ROS, Powered by Jetson Nano.JetHexa is a hexapod robot powered by Jetson Nano and supports Robot Operating System (ROS). It leverages mainstream deep learning frameworks, incorporates MediaPipe development, enables YOLO model training, and utilizes TensorRT acceleration. This combination delivers a diverse range of AI applications, including motion control, object recognition, KCF target tracking, line following, 3D face detection, gesture recognition and somatosensory control.
• SLAM Development and AI Application.Equipped with a 3D depth camera and Lidar, it achieves precise 2D mapping, multi-point navigation, TEB path planning, Lidar tracking, and dynamic obstacle avoidance. Using 3D vision, it can capture point cloud images of the environment to achieve RTAB 3D mapping navigation. This combination of capabilities ensures a good user experience in programming and control.
• Inverse Kinematics Algorithm.JetHexa can switch between tripod gait and ripple gait flexibly. It employs an inverse kinematics algorithm, allowing it to perform "moonwalking" with fixed speed and height. Furthermore, JetHexa allows for adjustable pitch angle, roll angle, direction, speed, height, and stride, giving you complete control over its movements. With self-balancing function, JetHexa can conquer complex terrains with ease.
• Robot Control Across Platforms.JetHexa provides multiple control methods, like WonderAi app (compatible with iOS and Android system), wireless handle, Robot Operating System (ROS) and keyboard, allowing you to control the robot at will. By importing corresponding codes, you can command JetHexa to perform specific actions.
• These tutorials cover wide range of topics, including getting ready, Linux operating system, ROS, OpenCV, motion control, AI deep learning, depth camera and Lidar mapping navigation and 3D vision interaction.Please note that our technical support is limited to the existing learning tutorials, and we do not provide assistance for secondary development.