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
























Hiwonder JetHexa ROS Hexapod Robot Kit Powered by Jetson Nano with Lidar Depth Camera Support SLAM Mapping and Navigation
- Powered by NVIDIA Jetson Nano and based on ROS
- Support depth camera and Lidar for mapping and navigation
- Upgraded inverse kinematics algorithm
- Capable of deep learning and model training
- Open source and provide ample PDF materials and tutorials
- Description
- Specifications
- Accessories


JetHexa not only serves as an advanced platform for user to learn and verify hexapod movement, but also provides solutions for ROS development. To help user embark on a new journey of ROS hexapod robotic world, ample ROS and robot learning materials and tutorials are provided.
JetHexa not only serves as an advanced platform for user to learn and verify hexapod movement, but also provides solutions for ROS development. To help user embark on a new journey of ROS hexapod robotic world, ample ROS and robot learning materials and tutorials are provided.



Monocular Camera (with 2DOF Pan-tilt)

3D Depth Camera












Based on KCF filtering algorithm, the robot can track the selected target.

With the help of depth camera, it can detect the obstacle ahead and pass through the obstacle.

User can customize the path and order the robot to prowl along the designed path.

By scanning the front moving object, Lidar makes robot capable of target tracking.

Lidar accounts for the role in guarding the surroundings and ringing the alarm when detecting intruder.

Skilled in color recognition and tracking, the robot can be set to execute different actions according to the colors.

A group of JetHexa can be controlled by only one wireless handle to perform actions uniformly and simultaneously.

A batch of robots can be controlled to patrol in different formations.

When Lidar scans the canyon ahead, the robot will adjust its posture and direction to pass through it.

The robot has the ability to recognize the line in color designated by user and prowl following the line.

JetHexat is an expert in recognizing and positioning a few AR Tags at the same time.

Built-in IMU sensor can detect the body posture in real time.

Based on KCF filtering algorithm, the robot can track the selected target.

With depth camera, it can detect and pass through the obstacle.

User can customize the path and order the robot to prowl along the designed path.

By scanning the front moving object, Lidar makes robot capable of target tracking.

Lidar accounts for the role in guarding the surroundings and ringing the alarm when detecting intruder.

Skilled in color recognition and tracking, the robot can be set to execute different actions according to the colors.

A group of JetHexa can be controlled by only one wireless handle to perform actions uniformly and simultaneously.

JetHexat is an expert in recognizing and positioning a few AR Tags at the same time.

When Lidar scans the canyon ahead, the robot will adjust its posture and direction to pass through it.

The robot has the ability to recognize the line in color designated by user and prowl following the line.

A batch of robots can be controlled to patrol in different formations.

Built-in IMU sensor can detect the body posture in real time.















Fingertip Trajectory Control
Fingertip Trajectory Control

Human Posture Control
Human Posture Control

Gesture Recognition
Gesture Recognition

3D Face Detection
3D Face Detection
And it also offers the tools and library functions needed to obtain, compile, write, and run code across computers. It aims at providing code reuse support for robotics research and development.

















Feature 35KG torque, high accuracy, data feedback, easy wiring, 12V supply voltage and strong power.

Display the controller properties and battery voltage in real time, and supports custom setting.

Robot’s metal bracket is finely anodized for delicate appearance and long service life.












Item | Specification |
JetHexa Parameter | Product weight: 2.5 kg Material: Full-metal hard aluminum alloy bracket (anodized) Monocular camera pan-tilt: 2 DOF Battery: 11.1V 3500mAh 5C Lipo battery Battery life: 60min Robot DOF: 18DOF Hardware: ROS controller and ROS expansion board Operating system: Ubuntu 18.04 LTS + ROS Melodic Software: PC software + iOS/ Android APP Communication method: USB/ Wi-Fi/ Ethernet Programming language: Python/ C/ C++/ JavaScript Storage: 32GB TF card Servo: HX-35H intelligent serial bus servo Control method: Computer/ phone/ handle control Package size: 387*356*210mm(length*width*height) Weight (with package): 3.6 kg |
Battery Parameter | Model: 11.1V 3500mAh 5C Lipo battery Capacity: 3500mAh Rated discharge current: 5C Plug: SM plug + DC female Voltage: 11.1V Size: 72*55*19 mm Weight: 159g Charger: 12.6V |
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Very impressed. Battery has always lasted longer than i've used it. Very well built and justifies price. NoMachine works flawlessly, and have had ZERO issues with any of he programs - performs EXACTLY as you see in the youtube videos. Kinematics are extremely well done. ROS/RVIZ works seamlessly with LIDAR as well. I've bought the TonyPi Pro, Spider Pi Pro, JetAuto, JetMax, JetHexa, and a few others, and have yet to be disappointed. Customer service is top notch - cannot beat this team.
Thanks a lot for your big support!!!!
Hiwonder JetHexa ROS Hexapod Robot Kit Powered by Jetson Nano with Lidar Depth Camera Support SLAM Mapping and Navigation
Arrived in excellent condition, worked great right out the box. A little hard to understand the English in the instructional videos, but so far I’ve been able to figure out what was being said. It would be nice to have a hard copy instructional manual. The robot seems to be put together well, all components are working properly.
I trying step with your tutorial.
Tutorial is so clearly.that have a basic to advanced .Now I'm in chapter 7 not complete at all but it's so amazing learning and fun .If i do complete all lesson i'll share my feed back later .JetHexa can give your more robotistics experience and Some of the cool features like the Lidar and depth camera but i have some concern this use ros melodic on ubuntu 18 .I think at least must to be use ros noetic or ros2 but i'm not sure jetson nano can support for ubuntu 20.04 ?
Thank you so much for your support! JetHexa is 18.04. Yes, Jetson nano can support ubuntu 20.04
It has a lot of amazing features for someone wanting to get into robotics. From being able to program anything you want into it, to adding or changing out hardware, it is designed for learning.
All of the code is open source and they have a massive library of nearly 80 video tutorials as well as a massive manual detailing every aspect of this device. These are found on their website and youtube.
It is extremely well built, with many very solid metal parts. Overall, was heavier than I expected, but seems to handle a lot of force when I push down at it while it is running.
Some of the cool features like the Lidar and depth camera add a lot of value, as these are expensive parts alone. They allow for some really advanced AI features.
Overall, I highly recommend this if you are interested in learning about AI robotics.
Dear Matt, thank you so much!