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 robot arm based on Robot Operating System and powered by Jetson Nano control system. It supports programmed in Python, 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 object recognition, object sorting, target tracking and somatosensory control.
- 【AI Vision, Deep Learning】A HD camera is positioned at the end of JetMax, which enables real-time First-Person View (FPV) transmission and can recognize color, face, gesture, etc. Combined with advanced computing capabilities of Jetson Nano and deep learning, JetMax can train models for various interesting applications, including image, number, alphabet recognition, and object gripping and transportation.
- 【Inverse Kinematics Algorithm】JetMax employs an inverse kinematics algorithm, enabling precise target tracking, gripping, sorting, and stacking. It also provides detailed analysis on inverse kinematics, DH model, and offers the source code for the inverse kinematics function.
- 【Robot Control Across Platforms】JetMax provides multiple control methods, like WonderAi app (compatible with iOS and Android system), wireless handle, OC software, Robot Operating System and mouse, allowing you to control the robot at will. By importing corresponding codes, you can command JetMax to perform specific actions.
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: | 390 * 295 * 190mm |
| Package weight: | about 3.5kg |
| 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 + i0s/ 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): | 390 * 295 * 190mm |
| Package weight(standard kit): | About 3.5kg |
Customer Reviews
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
Fully functional as advertised. Very helpful and excellent support files and organization. It’s like a class in a product.
JetMax is more suitable for users who have programming basic. It is right robot for me. I can use it for secondary development. The provided tutorial is completely clear for beginner to learn how to use it.
Product conforms to the nomenclature and delivered in 7 to 8 days in France. First tests conclusive. All components working well. Comments on our own experiences in Computer Vision to come.
Thanks a lot.
Regards.
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