Hiwonder JetMax JETSON NANO Robot Arm ROS Open Source Vision Recognition Program Robot
- 【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.
Inverse Kinematics Algorithm, Support Path Planning
AI Vision Recognition Target Tracking
JetMax uses OpenCV image processing, which can use first vision to identify and locate color blocks of different colors, thereby implementing artificial intelligence projects such as color block sorting, intelligent palletizing, and target tracking.
Human Feature Recognition, AI Somatosensory Interaction
Provide URDF Model
JetMax is built on ROS, supports Gazebo simulation and offers a URDF model. This reduces demands on experimental environment and improves efficiency.
Python Programming
JetMax supports Python programming. Utilizing deep learning and AI vision, JetMax can handle tasks such as object sorting, face recognition, and more.
Creative Expansion
Working with a electrical sliding rail, JetMax excels in transporting, sorting, and stacking through precise motion distance calculations.
PC software control
iOS/ Android app control
Wireless handle control
Mouse control
Slide Rail Waste Sorting
By loading the trained model, the garbage cards are identified and transported to a distant garbage sorting area to increase the delivery range of the robotic arm.
Slide Tag Sorting
By identifying the AprilTag code, the tag blocks are identified to complete medium and long distance sorting or palletizing.
Wireless Handle Control
The wireless handle can not only control the end movement of the robotic arm, but also control the left and right translation on the slide rail, increasing the remote grabbing and carrying range of the robotic arm.
| Robot arm size: | 475*159*251mm |
| Robot arm weight: | 1.6kg |
| Material: | Metal and carbon fiber |
| End effector: | Electric suction nozzle, electromagnet suction cup, small gripper, pen |
| DOF: | 4+1 |
| Power supply: | 12V 5A DC power adapter |
| Software: | PC software + iOS/ Android APP |
| Payload: | 450g |
| Servo type: | HTS-35H/ LFD-01M |
| Control method: | computer/ phone/ wireless handle/ mouse control |
| Programming language: | Python/ C/ C++/ JavaScript |
| Communication: | USB/ Wi-Fi/ Ethernet |
| Storage: | 32GB TF card |
| Package size: | 39*30*19cm |
| Package weight: | about 4.3kg |
| Item | Specification |
| Robot arm size (suction nozzle version) | 475 * 159 *251mm |
| Robot arm weight (suction nozzle version): | 1.6kg |
| Material | Metal and carbon fiber |
| End effector | Electric suction nozzle, electromagnet suction cup, small gripper, pen |
| DOF | 4+1 |
| Power supply | 12V 5A DC power adapter |
| Hardware | Jetson Nano board and expansion board |
| Software | PC software + iOS/ Android app |
| Payload | 450g |
| Servo type | HTS-35H serial bus servo/ LFD-01M anti-blocking servo |
| Control method | Computer/ phone/ wireless handle/ mouse control |
| Programming language | Python/ C/ C++/ JavaScript |
| Communication | USB/ Wi-Fi/ Ethernet |
| Storage | 32GB TF card |
| Package size(standard kit): | 39*30*19cm |
| Package weight(standard kit): | About 4.3kg |
Customer Reviews
Hiwonder JetMax JETSON NANO Robot Arm ROS Open Source Vision Recognition Program Robot
Out of the box everything looked fine. Simple assembly. The Seller responded promptly and helped provide me with suggestions. Everything works great now.
Like everything / no dislikes
It meets my needs.Recommended !
Nice service from Hiwonder. I had some issues with tutorial, but i got support timely. Well Done！
JetMax is quite powerful to complete different tasks with OpenCV. The tutorial is very detailed for me to learn robotics. Providing a platform for learning about robotics and programming. I'm also execited to create my own project. Will share the some videos later
Questions & Answers
Have a Question?
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Does this model have the Jetson Nano included or do you have to purchase it separately?
Hi there, jetson nano is included :D
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I need cad file of this please share
Sorry, we cannot offer cad file but can offer step file. Please share your order number to support@hiwonder.com, and our team will send you the link
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is this version's jetson nano has emmc ver or microsd ver?
JetMax uses Jetson Nano B01 which is equipped with 16GB EMMC
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where do i download the software for pc control
You can refer to this link: https://drive.google.com/drive/folders/14d5VLN-qTmEB7UipF4UOAo6vvhxSDfd7?usp=drive_link
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Does the oc software come with it or download?
Can be found on the robot system desktop
