JetArm Pro is an AI-powered multimodal robot designed for ROS-based education. Upgraded from the JetArm robotic arm, it supports modular add-ons like mecanum/tank chassis, sliding rail, and conveyor belt—enabling applications such as intelligent transport, vision line following, and even automated AI sorting systems. With built-in support for multimodal large model and integration with platforms like ChatGPT, JetArm Pro can perceive, plan, and execute complex embodied AI tasks. Hiwonder provides open-source code, learning resources, and hands-on experiments to help users easily build and explore their own AI projects.
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Depth Vision, 3D Scene Flexible Grabbing The end of the JetArm Pro robot arm is equipped with a high-performance 3D depth camera, which can realize target recognition, tracking and grabbing. |
All-metal Structure, Bearing Base The body of the robot arm adopts an all-metal structure, and the surface is anodized, making it exquisite and beautiful. The base uses industrial-grade bearings. |
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Wrapped Structure Design, Beautiful Wiring JetArm Pro adopts a wrapped structure design, and the wiring of the servo can be hidden inside the fuselage, making the outside of the fuselage clean and tidy. |
Circular Microphone Array JetArm Pro comes with a circular 6-microphone array that delivers excellent noise reduction and clear audio capture. It supports advanced features such as sound source localization |
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Voice Control With ChatGPT integration, JetArm Pro can comprehend spoken commands and carry out corresponding actions, enabling intuitive and seamless voice-controlled interaction. |
Color Sorting With the support of ChatGPT, It can understand user commands and, when combined with AI vision, accurately identify and sort objects based on their colors within its field of view. |
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Waste Sorting JetArm Pro leverages the YOLOv11 deep learning model built into its system to recognize different types of objects in the scene. With the power of ChatGPT, it can interpret user commands and perform corresponding actions. |
3D Object Sorting Equipped with a 3D depth camera, JetArm Pro can detect objects of various shapes within its field of view. When combined with ChatGPT, it understands user instructions and carries out the required actions. |
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Real-Time Detection JetArm Pro, powered by OpenAI's ChatGPT, can understand user commands and intelligently analyze scenes. It provides real-time feedback on image content and object features. |
Vision Tracking By integrating ChatGPT with OpenRouter’s visual large model, JetArm Pro can accurately interpret user commands to identify and locate objects within its field of view. |
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Intelligent Transport Utilizing the OpenRouter Vision large model, JetArm Pro can identify target objects, retrieve their positional data, and, with the help of ChatGPT, analyze user commands to move objects to specified locations. (Jetson Orin nano and Orin NX support only) |
Smart Home Assistant Thanks to its integrated multimodal large model, JetArm Pro is capable of recognizing and analyzing objects within its view. Paired with ChatGPT, it comprehends user commands and delivers appropriate verbal and physical responses. |
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Waste Sorting JetArm Pro's kit is equipped with garbage pattern blocks. By loading the corresponding model, JetArm Pro can quickly recognize different garbage and place it in the corresponding classification area. |
Item Sorting By training models of daily items and generating corresponding models, with the support of depth cameras, JetArm Pro can quickly recognize and grab corresponding items by obtaining the depth information of the items. |
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Hall Encoder Geared Motor 520 motor comes with high-accuracy encoder, and features strong force and high performance. |
Mecanum Wheel The mecanum wheel has a compact structure and flexible movement. |
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Electric Conveyor Belt Parameters |
Sliding Rail Parameters |
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JetArm Pro(Mecanum-wheel chassis) Dimensional Diagram |
JetArm Pro(Tank chassis) Dimensional Diagram |
| Product model | JetArm Pro | Body material | Full metal aluminum alloy bracket, anodized surface treatment |
| STM32 controller | ROS Robot Controller (STM32F407VET6), running FreeRTOS embedded real-time OS | ROS controller | Jetson Nano / Jetson Orin Nano / Jetson Orin NX |
| Control methods | USB serial port, CAN interface, Bluetooth App, RC remote controller, PC | USB expansion | 5A high-current USB HUB expansion board |
| Camera | Gemini Plus Depth Camera | Power supply | 12V 5A DC adapter / 19V 2.37A DC adapter |
| OS | Ubuntu 22.04LTS + ROS Humble / Ubuntu20.04LTS + ROS Noetic | Software | iOS / Android mobile App |
| Communication | USB / WiFi / Ethernet | Programming tools | Python / C / C++ / JavaScript |
| Storage | 64GB TF Card (Jetson Nano) / 128GB SSD (Jetson Orin Nano/Jetson Orin NX) | Servo models | HTS-21H / HTD-35H / HX-12H smart bus servos |
| Optional accessories | Integrated 6-channel microphone array, HD touchscreen; WonderEcho Pro AI voice interaction box | ||
| Packaging weight & dimensions | JetArm Pro main unit: 3.7kg; 385 × 295 × 175 mm / Mecanum wheel chassis: 1.8kg; 387 × 300 × 150 mm Tank chassis: 1.65kg; 390 × 305 × 165 mm / Sliding rail: 4.0kg; 765 × 247 × 125 mm Conveyor belt: 4.5kg; 780 × 300 × 120 mm |
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JetArm Pro is an AI-powered multimodal robot designed for ROS-based education. Upgraded from the JetArm robotic arm, it supports modular add-ons like mecanum/tank chassis, sliding rail, and conveyor belt—enabling applications such as intelligent transport, vision line following, and even automated AI sorting systems. With built-in support for multimodal large model and integration with platforms like ChatGPT, JetArm Pro can perceive, plan, and execute complex embodied AI tasks. Hiwonder provides open-source code, learning resources, and hands-on experiments to help users easily build and explore their own AI projects.
|
Depth Vision, 3D Scene Flexible Grabbing The end of the JetArm Pro robot arm is equipped with a high-performance 3D depth camera, which can realize target recognition, tracking and grabbing. |
All-metal Structure, Bearing Base The body of the robot arm adopts an all-metal structure, and the surface is anodized, making it exquisite and beautiful. The base uses industrial-grade bearings. |
|
Wrapped Structure Design, Beautiful Wiring JetArm Pro adopts a wrapped structure design, and the wiring of the servo can be hidden inside the fuselage, making the outside of the fuselage clean and tidy. |
Circular Microphone Array JetArm Pro comes with a circular 6-microphone array that delivers excellent noise reduction and clear audio capture. It supports advanced features such as sound source localization |
|
Voice Control With ChatGPT integration, JetArm Pro can comprehend spoken commands and carry out corresponding actions, enabling intuitive and seamless voice-controlled interaction. |
Color Sorting With the support of ChatGPT, It can understand user commands and, when combined with AI vision, accurately identify and sort objects based on their colors within its field of view. |
|
Waste Sorting JetArm Pro leverages the YOLOv11 deep learning model built into its system to recognize different types of objects in the scene. With the power of ChatGPT, it can interpret user commands and perform corresponding actions. |
3D Object Sorting Equipped with a 3D depth camera, JetArm Pro can detect objects of various shapes within its field of view. When combined with ChatGPT, it understands user instructions and carries out the required actions. |
|
Real-Time Detection JetArm Pro, powered by OpenAI's ChatGPT, can understand user commands and intelligently analyze scenes. It provides real-time feedback on image content and object features. |
Vision Tracking By integrating ChatGPT with OpenRouter’s visual large model, JetArm Pro can accurately interpret user commands to identify and locate objects within its field of view. |
|
Intelligent Transport Utilizing the OpenRouter Vision large model, JetArm Pro can identify target objects, retrieve their positional data, and, with the help of ChatGPT, analyze user commands to move objects to specified locations. (Jetson Orin nano and Orin NX support only) |
Smart Home Assistant Thanks to its integrated multimodal large model, JetArm Pro is capable of recognizing and analyzing objects within its view. Paired with ChatGPT, it comprehends user commands and delivers appropriate verbal and physical responses. |
|
Waste Sorting JetArm Pro's kit is equipped with garbage pattern blocks. By loading the corresponding model, JetArm Pro can quickly recognize different garbage and place it in the corresponding classification area. |
Item Sorting By training models of daily items and generating corresponding models, with the support of depth cameras, JetArm Pro can quickly recognize and grab corresponding items by obtaining the depth information of the items. |
|
Hall Encoder Geared Motor 520 motor comes with high-accuracy encoder, and features strong force and high performance. |
Mecanum Wheel The mecanum wheel has a compact structure and flexible movement. |
|
Electric Conveyor Belt Parameters |
Sliding Rail Parameters |
|
JetArm Pro(Mecanum-wheel chassis) Dimensional Diagram |
JetArm Pro(Tank chassis) Dimensional Diagram |
| Product model | JetArm Pro | Body material | Full metal aluminum alloy bracket, anodized surface treatment |
| STM32 controller | ROS Robot Controller (STM32F407VET6), running FreeRTOS embedded real-time OS | ROS controller | Jetson Nano / Jetson Orin Nano / Jetson Orin NX |
| Control methods | USB serial port, CAN interface, Bluetooth App, RC remote controller, PC | USB expansion | 5A high-current USB HUB expansion board |
| Camera | Gemini Plus Depth Camera | Power supply | 12V 5A DC adapter / 19V 2.37A DC adapter |
| OS | Ubuntu 22.04LTS + ROS Humble / Ubuntu20.04LTS + ROS Noetic | Software | iOS / Android mobile App |
| Communication | USB / WiFi / Ethernet | Programming tools | Python / C / C++ / JavaScript |
| Storage | 64GB TF Card (Jetson Nano) / 128GB SSD (Jetson Orin Nano/Jetson Orin NX) | Servo models | HTS-21H / HTD-35H / HX-12H smart bus servos |
| Optional accessories | Integrated 6-channel microphone array, HD touchscreen; WonderEcho Pro AI voice interaction box | ||
| Packaging weight & dimensions | JetArm Pro main unit: 3.7kg; 385 × 295 × 175 mm / Mecanum wheel chassis: 1.8kg; 387 × 300 × 150 mm Tank chassis: 1.65kg; 390 × 305 × 165 mm / Sliding rail: 4.0kg; 765 × 247 × 125 mm Conveyor belt: 4.5kg; 780 × 300 × 120 mm |
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