JetHexa

JetHexa is a hexapod robot powered by NVIDIA Jetson Nano B01 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.

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Powered by NVIDIA Jetson Nano
SLAM Development and AI Application
Inverse Kinematics Algorithm
Robot Control Across Platforms

JetHexa

Specifications

Camera Specifications
Weight2.5kg
MaterialFull-metal hard aluminum alloy bracket(anodized)
Battery11.1V 3500mAh 5C Lipo battery
Continuous working life60min
HardwareROS controller and ROS expansion board
Operating systemUbuntu 18.04 LTS + ROS Melodic
SoftwarePC software + iOS/ Android APP


Physical Parameters
CommunicationUSB/ WiFi / Ethernet
Programming languagePython/ C/ C++/ JavaScript
Storage32GB TF card
ServoHX-35H intelligent serial bus servo
Control methodComputer/ phone/ handle control
Package size (advanced kit)387* 356* 210mm (length*width*height)
Package weight (advanced kit)About 3.6kg

Applications

Lidar Mapping Navigation
3D cameras can provide accurate and precise measurements of package dimensions, improving logistics and shipping accuracy.
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 interactive gameplay.
Deep Learning and Model Training for AI Creativity
Adopting GoogLeNet, Yolo, mtcnn and other neural networks, JetHexa masters deep learning to train models. Through loading various models, it can recognize the targets quickly so as to implement complex AI projects, including waste sorting, mask identification, emotion recognition, etc.
AI Vision Interaction
By incorporating artificial intelligence, JetHexa can implement KCF target tracking, vision line following, color/ tag recognition and tracking, etc.
MediaPipe Development, Upgraded AI Interaction
JetHexa utilizes MediaPipe development framework to accomplish various functions, such as human body recognition, fingertip recognition, face detection, and 3D detection.

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.

Equipped with Lidar & Supports SLAM Mapping Navigation

It is driven by an intelligent serial bus servo which provides over-temperature protection and antiblocking function. it’s 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.

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