Hiwonder JetArm ROS1/ROS2 3D Vision Robot Arm

  • Mã sản phẩm: Hiwonder JetArm ROS1/ROS5
  • Nhà sản xuất: Hiwonder
  • Website hỗ trợ: https://www.proe.vn
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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

 

  • 【AI-Driven and Jetson-Powered】 JetArm is a high-performance 3D vision robot arm developed for ROS education scenarios. It is equipped with the Jetson Nano, Orin Nano, or Orin NX as the main controller, and is fully compatible with both ROS1 and ROS2. With Python and deep learning frameworks integrated, JetArm is ideal for developing sophisticated AI projects.

  • 【High-Performance AI Robotics】JetArm features six intelligent serial bus servos with a torque of 35KG. The robot is equipped with a 3D depth camera, a built-in 6-microphone array, and Multimodal Large AI Models, enabling a wide variety of applications, such as 3D spatial grabbing, target tracking, object sorting, scene understanding, and voice control.

  • 【Depth Point Cloud, 3D Scene Flexible Grabbing】 JetArm is equipped with a high-performance 3D depth camera. Based on the RGB data, position coordinates and depth information of the target, combined with RGB+D fusion detection, it can realize free grabbing in 3D scene and other AI projects.

  • 【Enhanced Human-Robot Interaction Powered by AI】 JetArm leverages Multimodal Large AI Models to create an interactive system centered around ChatGPT. Paired with its 3D vision capabilities, JetArm boasts outstanding perception, reasoning, and action abilities, enabling more advanced embodied AI applications and delivering a natural, intuitive human-robot interaction experience.

  • 【Advanced Technologies & Comprehensive Tutorials】 With JetArm, you will master a broad range of cutting-edge technologies, including ROS development, 3D depth vision, OpenCV, YOLOv8, MediaPipe, AI models, robotic inverse kinematics, MoveIt, Gazebo simulation, and voice interaction. We provide in-depth learning materials and video tutorials to guide you step by step, ensuring you can confidently develop your own AI-powered robotic arm.

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 20.04 LTS + ROS Noetic / Ubuntu 18.04 LTS + ROS Melodic
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 Description

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 AI Large Model 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

Large AI Model–Driven 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, 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 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 leverages the YOLOv8 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 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, 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 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

JetArm integrates advanced neural network technologies, leveraging YOLOv8 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 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 80 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 2.5 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

he tail of the 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

The JetArm robotic arm adopts an all-metal structure and anodized metal brackets, which are exquisite in workmanship, beautiful and durable.

Built-in Invisible Antenna

The JetArm robotic arm 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 20.04 LTS + ROS Noetic / Ubuntu 18.04 LTS + ROS Melodic 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

JetArm Starter Packing List

JetArm Standard Packing List

JetArm Advanced Packing List

JetArm Ultimate Packing List

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