Jetson Nano
Hiwonder
Fan Module: Hiwonder Robot Module Compatible with Arduino/ Raspberry Pi/ Jetson Nano/ micro:bit
- Working voltage: DC 5V
- Max working current: 125mA
- Size: 48mm×48mm
- 4 Pin wire port. Connecting wire is provided. Easy to connect
- The holes are compatible with LEGO bricks
Hiwonder
Hiwonder JetHexa ROS Hexapod Robot Kit Powered by Jetson Nano with Lidar Depth Camera Support SLAM Mapping and Navigation
- 【Powered by NVIDIA Jetson Nano】JetHexa is a hexapod robot powered by NVIDIA Jetson Nano B01 and supports Robot Operating System (ROS). It leverages mainstream deep learning frameworks, incorporates MediaPipe development, enables YOLO model training, and utilizes TensorRT acceleration.
- 【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.
- 【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.
- 【Driven by AI, Powered by NVIDIA Jetson Nano】JetMax is an open source AI robotic arm developed based on ROS. It is based on the Jetson Nano control system, supports Python programming, adopts mainstream deep learning frameworks, and can realize a variety of AI artificial intelligence applications.
- 【AI Vision, Deep Learning】The end of JetMax is equipped with a high-definition camera, which can realize FPV video transmission. Image processing through OpenCV can recognize colors, faces, gestures, etc. Through deep learning, JetMax can realize image recognition and item handling.
- 【Inverse Kinematics Algorithm】JetMax uses an inverse kinematics algorithm to accurately track, grab, sort and palletize target items in the field of view. Hiwonder will provide inverse kinematics analysis courses, connected coordinate system DH model and inverse kinematics function source code.
- 【Multiple Expansion Methods】You can purchase additional McNamee wheel chassis or slide rails to expand your JetMax, expand the range of motion of JetMax, and do more interesting AI projects.
- 【Detailed Course Materials and Professional After-sales Service】We provide 200+ courses and provide online technical assistance (China time) to help you learn JetMax more efficiently! Course content includes: introduction to the use of JetMax, ROS and OpenCV series courses, AI deep learning courses, inverse kinematics courses, action group editing teaching courses, and creative gameplay courses. Note: Hiwonder only provides technical assistance for existing courses, and more in-depth development needs to be completed by customers themselves.
- Support Raspberry Pi 4B/3B
- Support Jetson Nano
- 16GB/32GB/64GB/ Jetson Nano
Accessory
Micro-HDMI to HDMI Adapter Cable for Raspberry Pi 4B 1.5M 4K Data Transfer Display Connector Wire
- Used for Raspberry Pi 4B
- Micro-HDMI to HDMI transfer cable
- Pay attention to the direction of the interface