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Hiwonder JetArm ROS1/ROS2 3D Vision Robot Arm, with Multimodal AI Model (ChatGPT), AI Voice Interaction and Vision Recognition, Tracking & Sorting
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Hiwonder JetArm ROS1/ROS2 3D Vision Robot Arm, with Multimodal AI Model (ChatGPT), AI Voice Interaction and Vision Recognition, Tracking & Sorting
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Hiwonder JetArm ROS1/ROS2 3D Vision Robot Arm, with Multimodal AI Model (ChatGPT), AI Voice Interaction and Vision Recognition, Tracking & SortingJetArm tutorial: schematics, source codes, videos & experimental projects. Everything for STEAM education is here: https: wiki. hiwonder. com projects JetArm en jetarm orin nano . Product Description Hiwonder JetArm is a desktop level AI vision robotic arm developed by Hiwonder for ROS education scenarios. Equipped with a 3D depth camera, JetArm seamlessly combines 3D vision with robotic arm control. Backed by high performance componentsincluding high
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JetArm tutorial: schematics, source codes, videos & experimental projects. Everything for STEAM education is here: https://wiki.hiwonder.com/projects/JetArm/en/jetarm-orin-nano/.
Product Description
Hiwonder JetArm is a desktop-level AI vision robotic arm developed by Hiwonder for ROS education scenarios. Equipped with a 3D depth camera, JetArm seamlessly combines 3D vision with robotic arm control. Backed by high-performance components—including high-torque smart bus servos, an NVIDIA Jetson controller, and an integrated microphone array—the robotic arm is capable of recognizing, tracking, and grasping target objects in 3D space. JetArm also leverages a Multimodal Generative AI to support more advanced embodied AI applications. To help you unlock its full potential, we offer comprehensive tutorials designed to inspire and support your AI-driven creative projects.
Depth Vision, 3D Scene Flexible Grabbing
The end of the JetArm robot arm is equipped with a high-performance 3D depth camera, which can realize target recognition, tracking and grabbing. Through RGB+D fusion detection, JetArm can also realize flexible grabbing in 3D scene.
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 to meet high-demand grabbing projects.
Wrapped Structure Design, Beautiful Wiring
JetArm 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 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, speech recognition, voice announcements, and voice control.
Dual-Controller Design for Efficient Collaboration
Function List
AI Large Model Embodied AI Applications
JetArm Ultimate Kit is equipped with a circular 6-microphone array. Going beyond the one-way command-response pattern of traditional AI models, JetArm, powered by ChatGPT, enables a cognitive leap from semantic understanding to physical execution, significantly enhancing the naturalness and fluidity of human machine interaction. Combined with advanced machine vision, JetArm delivers outstanding capabilities in perception, reasoning, and action, making it ideal for developing sophisticated embodied AI applications.
Voice Control
With ChatGPT integration, Hiwonder JetArm can comprehend spoken commands and carry out corresponding actions, enabling intuitive and seamless voice-controlled interaction.
Color Sorting
With the support of ChatGPT, JetArm programmable robot 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
Hiwonder JetArm 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, such as waste sorting.
3D Object Sorting
Equipped with a 3D depth camera, JetArm AI robot 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, powered by OpenAI's ChatGPT, can understand user commands and intelligently analyze scenes. It provides real-time feedback on image content and object features through both text and voice.
Vision Tracking
By integrating ChatGPT with OpenRouter's visual large model, JetArm can accurately interpret user commands to identify and locate objects within its field of view. Paired with inverse kinematics algorithms, it enables precise and responsive target tracking.
Intelligent Transport
Utilizing the OpenRouter Vision large model, JetArm can identify target objects and retrieve their positional data. With the help of ChatGPT, it can 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 AI large model, JetArm is capable of recognizing and analyzing objects within its view. Paired with ChatGPT, it comprehends user commands and delivers appropriate verbal and physical responses. (Jetson Orin nano and Orin NX support only)
Deep Learning Model Training
Hiwonder JetArm integrates advanced neural network technologies, leveraging YOLOv11 for real-time multi-object detection. It enables customized deep learning model training for specific objects, producing lightweight models optimized for TensorRT acceleration, unlocking a wide range of AI-driven creative possibilities.
Waste Sorting
JetArm's kit is equipped with garbage pattern blocks. By loading the corresponding model, JetArm 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 can quickly recognize and grab corresponding items by obtaining the depth information of the items.
Gazebo Simulation
The JetArm robotic arm is developed using the ROS framework and supports GAZEBO simulation. The AI robotic arm is controlled and algorithm verified in a virtual environment, which reduces the requirements for the experimental environment and improves experimental efficiency.
JetArm Configuration Selection Guide
The Jetson Nano provides essential AI inference capabilities, perfect for simple neural networks and deep learning models, making it ideal for entry-level AI applications. The Jetson Orin Nano offers 134 times the performance and computing power of the Jetson Nano, supporting more complex deep learning models and accelerated inference, making it well-suited for advanced edge AI applications. The Jetson Orin NX boosts computing power 2.34 times over the Jetson Orin Nano, offering top-tier AI inference performance for larger neural networks and real-time deep learning tasks. This performance upgrade enhances JetArm, unlocking exceptional capabilities in servo control, vision tasks, and deep learning across a wide range of applications!
Product Structure
7-inch HD LCD Touch Screen
The tail of Hiwonder JetArm supports a 7-inch touch screen, which allows you to view the first vision image of the robotic arm in real time, as well as the operating status of the JetArm in real time to facilitate timely debugging.
Anodized Metal Bracket
JetArm robotic arm adopts an all-metal structure and anodized metal brackets, which are exquisite in workmanship, beautiful and durable.
Built-in Invisible Antenna
JetArm AI robot uses a hidden antenna designed to enhance the signal and is built into the control cabin, giving the robotic arm a neat and clean appearance and eliminating the risk of interference with the antenna when the robotic arm is moving.
Versatile Expansion Ports
JetArm's base board provides abundant expansion ports, offering seamless compatibility with Hiwonder's sliding rail and mecanum wheel chassis, enabling a wide range of creative and advanced expansion possibilities.
| Product Parameters | |||
| Product model | JetArm | Product dimensions | 339 × 165 × 532 mm |
| Product weight | Approx. 2.4 kg (ultimate version) | Body material | Full-metal aluminum alloy frame, anodized surface treatment |
| STM32 controller | ROS robot controller (STM32F407VE16), embedded with FreeRTOS real-time OS | ROS controller | Jetson Nano / Jetson Orin Nano / Jetson Orin NX |
| Control methods | USB serial port, CAN interface, Bluetooth app, RC transmitter, computer | USB expansion | 5A high-current USB HUB expansion board |
| Camera | Gemini Plus depth camera | Power supply | 12V 5A DC power adapter/ 19V 2.37A power adapter |
| Operating system | Ubuntu 22.04LTS + ROS Humble / Ubuntu20.04LTS + ROS Noetic | Software | iOS/Android app |
| Communication | USB / Wi-Fi / Ethernet | Programming language | Python / C / C++ / JavaScript |
| Storage | 64GB TF card (Jetson Nano) / 128GB SSD (Jetson Orin Nano/NX) | Servo model | HTS-21H/ HTD-35H/ HX-12H smart bus servo motors |
| Optional accessories | Integrated 6-microphone array, and 7-inch HD touchscreen | Supporting materials | Full development manuals, video tutorials, ROS/STM32 source code, system images, software tools |
| Package weight & volume | 4 kg; 385 × 295 × 175 mm | ||
| Product Parameter | |
| Product model | JetArm |
| Product dimensions | 339 × 165 × 532 mm |
| Product weight | Approx. 2.4 kg (ultimate version) |
| Body material | Full-metal aluminum alloy frame, anodized surface treatment |
| STM32 controller | ROS robot controller (STM32F407VE16), embedded with FreeRTOS real-time OS |
| ROS controller | Jetson Nano / Jetson Orin Nano / Jetson Orin NX |
| Control methods | USB serial port, CAN interface, Bluetooth app, RC transmitter, computer |
| USB expansion | 5A high-current USB HUB expansion board |
| Camera | Gemini Plus depth camera |
| Power supply | 12V 5A DC power adapter/ 19V 2.37A power adapter |
| Operating system | Ubuntu 22.04LTS + ROS Humble / Ubuntu20.04LTS + ROS Noetic |
| Software | iOS/Android app |
| Communication | USB / Wi-Fi / Ethernet |
| Programming language | Python / C / C++ / JavaScript |
| Storage | 64GB TF card (Jetson Nano) / 128GB SSD (Jetson Orin Nano/NX) |
| Servo model | HTS-21H/ HTD-35H/ HX-12H smart bus servo motors |
| Optional accessories | Integrated 6-microphone array, and 7-inch HD touchscreen |
| Supporting materials | Full development manuals, video tutorials, ROS/STM32 source code, system images, software tools |
| Package weight & volume | 4 kg; 385 × 295 × 175 mm |
Specifications
| Item | Specification |
| Product model | JetArm |
| Product dimensions | 339 × 165 × 532 mm |
| Product weight | Approx. 2.4 kg (ultimate version) |
| Body material | Full-metal aluminum alloy frame, anodized surface treatment |
| STM32 controller | ROS robot controller (STM32F407VE16), embedded with FreeRTOS real-time OS |
| ROS controller | Jetson Nano / Jetson Orin Nano / Jetson Orin NX |
| Control methods | USB serial port, CAN interface, Bluetooth app, RC transmitter, computer |
| USB expansion | 5A high-current USB HUB expansion board |
| Camera | Gemini Plus depth camera |
| Power supply | 12V 5A DC power adapter/ 19V 2.37A power adapter |
| Operating system | Ubuntu 22.04LTS + ROS Humble / Ubuntu20.04LTS + ROS Noetic |
| Software | iOS/Android app |
| Communication | USB / Wi-Fi / Ethernet |
| Programming language | Python / C / C++ / JavaScript |
| Storage | 64GB TF card (Jetson Nano) / 128GB SSD (Jetson Orin Nano/NX) |
| Servo model | HTS-21H/ HTD-35H/ HX-12H smart bus servo motors |
| Optional accessories | Integrated 6-microphone array, and 7-inch HD touchscreen |
| Supporting materials | Full development manuals, video tutorials, ROS/STM32 source code, system images, software tools |
| Package weight & volume | 4 kg; 385 × 295 × 175 mm |
Hiwonder JetArm ROS1/ROS2 3D Vision Robot Arm, with Multimodal AI Model (ChatGPT), AI Voice Interaction and Vision Recognition, Tracking & Sorting
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77001746263
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