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home > Hiwonder ArmPi Ultra ROS2 3D Vision Robot Arm, with Multimodal AI Large Language Models (ChatGPT), AI Voice Interaction, Vision Recognition, Tracking & Sorting > Hiwonder ArmPi Ultra ROS2 3D Vision Robot Arm, with Multimodal AI Large Language Models (ChatGPT), AI Voice Interaction, Vision Recognition, Tracking & Sorting
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Hiwonder ArmPi Ultra ROS2 3D Vision Robot Arm, with Multimodal AI Large Language Models (ChatGPT), AI Voice Interaction, Vision Recognition, Tracking & SortingGet ArmPi Ultra Tutorials : https: www. hiwonder. com. cn store learn 177. html. Product Description ArmPi Ultra is a desktop AI vision robotic arm developed by Hiwonder for ROS education scenarios. Equipped with a 3D depth camera, ArmPi Ultra seamlessly combines 3D vision with robotic arm control. Backed by high performance components including 6 high torque smart bus servos, a Raspberry Pi controller, WonderEcho Pro AI voice box, etc, the robotic
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ROS 3D Vision Robot Arm ROS 3D Vision Robot Arm

Product Description
ArmPi Ultra is a desktop AI vision robotic arm developed by Hiwonder for ROS education scenarios. Equipped with a 3D depth camera, ArmPi Ultra seamlessly combines 3D vision with robotic arm control. Backed by high-performance components including 6 high-torque smart bus servos, a Raspberry Pi controller, WonderEcho Pro AI voice box, etc, the robotic arm is capable of recognizing, tracking, and grasping target objects in 3D space. ArmPi Ultra 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.
3d depth camera vision robot arm

Depth Vision, 3D Scene Flexible Grabbing

ArmPi Ultra robot arm equipped with a high-performance 3D depth camera, which can realize target recognition and tracking. Through RGB+D fusion detection, ArmPi Ultra can perform flexible grabbing in a 3D scene.

All-metal Structure, Bearing Base

The body of the robot arm adopts an all-metal structure, and the anodized surface makes it exquisite and beautiful. The base uses industrial-grade bearings to meet high-demand grabbing projects.

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Intelligent Bus Servo

ArmPi Ultra robotic arm body is equipped with 6 high-torque smart bus servos, allowing the robotic arm to grab heavy objects and run smoothly.

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WonderEcho Pro AI Voice Box

ArmPi Ultra comes with a WonderEcho Pro AI voice box that delivers excellent noise reduction and clear audio capture. It supports advanced features such as speech recognition, voice broadcast, and voice control.

Dual-Controller Design for Efficient Collaboration
ArmPi Ultra combines the power of Raspberry Pi 5 with an STM32 controller to deliver smarter, faster, and smoother performance. Raspberry Pi 5 takes care of vision and decision-making, while STM32 ensures precise servo control and data process. Working together, they make the robot more responsive and capable than ever.
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Function List
chatgpt ros2 robot learning
Large AI Model–Driven Embodied AI Applications
ArmPi Ultra integrates multimodal AI model for cross-modal perception, allowing seamless interaction across text, voice, and image, delivering richer and more creative user experiences.
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Voice Control
Powered by ChatGPT, ArmPi Ultra can understand spoken commands and perform corresponding actions, delivering a natural and intuitive voice interaction experience.
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Color Sorting
With the integration of ChatGPT and AI vision, ArmPi Ultra not only responds to voice commands but also accurately detects object colors within its field of view and sorts them automatically.
waste sorting robot arm
Waste Sorting
Built with the YOLO26 deep learning model, ArmPi Ultra can recognize different types of objects in its environment. With ChatGPT integration, it interprets user commands and executes tasks such as intelligent waste sorting.
3D object sorting robot arm
3D Object Sorting
Equipped with a 3D depth camera, ArmPi Ultra detects objects of various shapes within its field of view. Combined with ChatGPT, it understands user instructions and performs the required sorting actions.
AI Embodied Intelligence Applications
Powered by high-performance hardware and multimodal large model, ArmPi Ultra can perceive and understand the environment, plan actions, and perform tasks with flexibility. It enables advanced human–robot collaboration and intelligent task handling, delivering a more natural and efficient interactive experience.
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Real-Time Detection robot arm
Real-Time Detection
Powered by ChatGPT, ArmPi Ultra understands user commands and analyzes scenes in real time. It provides instant feedback on image content and object features through both text and voice.
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Vision Tracking
By combining ChatGPT with OpenRouter's visual large model, ArmPi Ultra interprets user commands to identify and locate objects. With inverse kinematics algorithms, it achieves precise and responsive target tracking.
intelligent transport robot arm
Intelligent Transport
With the support of the Vision AI large model, ArmPi Ultra identifies target objects and retrieves their positional data. Combined with ChatGPT, it interprets user commands to transport objects to designated locations.
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Smart Home Assistant
Powered by a multimodal large model, ArmPi Ultra recognizes and analyzes objects in its environment. Paired with ChatGPT, it understands user instructions and provides appropriate responses through both speech and actions.

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Deep Learning Model Training
ArmPi Ultra robot arm integrates advanced neural network technologies, leveraging YOLO26 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.
YOLO26 for object detection YOLO26 for object detection
waste sorting robot arm
Waste Sorting
ArmPi Ultra robotic arm kit is equipped with garbage pattern blocks. By loading the corresponding model, ArmPi Ultra can quickly recognize different garbage and place it in the corresponding classification area.
item sorting robot arm
Item Sorting
By training models of daily items and generating corresponding models, with the support of depth cameras, ArmPi Ultra can quickly recognize and grab corresponding items by obtaining the depth information of the items.

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Gazebo Simulation
The ArmPi Ultra 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.
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Robot control method

Product Structure
Aurora930 Pro Specifications
Module parameter Size 76.5 × 20.7 × 21.8 mm Imaging performance Depth data format 16-bit Raw
Baseline 40mm Depth resolution/Frame rate 640×400 @12fps (FOV: 74°×51°)
Interface USB 2.0 Wafer connector RGB data format NV12
Depth accuracy ±8mm @1m RGB resolution /Frame rate 640×400 @12fps (FOV: 74°×51°)
Working distance 15–300 cm IR data format 8-bit Raw
Operating temperature -10℃ to 55℃ IR resolution /Frame rate 640×400 @12fps (FOV: 74°×51°)
Operating humidity 0% to 95% RH (non-condensing) Firmware capabilities Firmware upgrade Supports USB OTA Update
Operating illuminance 3–80,000 Lux Hot start delay <300ms
Power supply 5V±10%, 1.5A System compatibility OS compatibility Linux / ARMv8 / ROS / Windows
Power consumption Average <1.6W
Safety rating Class 1 Laser safety
3d depth camera robot arm ai robot car voice command 6dof robot arm High-performance STM32 Robotic Arm Controller
Aurora930 Pro Specifications
Module parameter Size 76.5 × 20.7 × 21.8 mm
Baseline 40mm
Interface USB 2.0 Wafer connector
Depth accuracy ±8mm @1m
Working distance 15–300 cm
Operating temperature -10℃ to 55℃
Operating humidity 0% to 95% RH (non-condensing)
Operating illuminance 3–80,000 Lux
Power supply 5V±10%, 1.5A
Power consumption Average <1.6W
Safety rating Class 1 Laser safety
Imaging performance Depth data format 16-bit Raw
Depth resolution/Frame rate 640×400 @12fps (FOV: 74°×51°)
RGB data format NV12
RGB resolution /Frame rate 640×400 @12fps (FOV: 74°×51°)
IR data format 8-bit Raw
IR resolution /Frame rate 640×400 @12fps (FOV: 74°×51°)
Firmware capabilities Firmware upgrade Supports USB OTA Update
Hot start delay <300ms
System compatibility OS compatibility Linux / ARMv8 / ROS / Windows
3d depth camera robot arm ai robot car voice command 6dof robot arm High-performance STM32 Robotic Arm Controller

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Product Parameters
Product ArmPi Ultra Size 288*177*450mm
Weight 1.47kg (Standard kit) Controller STM32F103RBT6
Material Full metal aluminum alloy bracket, sandblasted and anodized finish Control methods ROS topic/node control, Python program control, app control, PC software control
Power supply 7.4V 6A DC Storage 64GB SD Card
Software PC software + iOS / Android app Communication USB 2.0×2; USB3.0×2; serial port
Camera USB Monocular Camera / Aurora Depth Camera OS RaspberryOS + Ubuntu 22.04 LTS (Docker)
Programming tools Python /C/C++ /Javascript Servo models HTS-16L, HTS-25L, HX-06L, LX-15D, LX-225 intelligent bus servos
Tutorials User manual, comprehensive tutorial, ROS source code, STM32 source code, system images, software Packaging weight & dimensions 3.2kg, 50x30x16cm;
Product Parameters
Product ArmPi Ultra
Size 288*177*450mm
Weight 1.47kg (Standard kit)
Controller STM32F103RBT6
Material Full metal aluminum alloy bracket, sandblasted and anodized finish
Control methods ROS topic/node control, Python program control, app control, PC software control
Power supply 7.4V 6A DC
Storage 64GB SD Card
Software PC software + iOS / Android app
Communication USB 2.0×2; USB3.0×2; serial port
Camera USB Monocular Camera / Aurora Depth Camera
OS RaspberryOS + Ubuntu 22.04 LTS (Docker)
Programming tools Python /C/C++ /Javascript
Servo models HTS-16L, HTS-25L, HX-06L, LX-15D, LX-225 intelligent bus servos
Tutorials User manual, comprehensive tutorial, ROS source code, STM32 source code, system images, software
Packaging weight & dimensions 3.2kg, 50x30x16cm;
ArmPi Ultra Starter Packing List

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ArmPi Ultra Standard Packing List

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ArmPi Ultra Advanced Packing List

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Specifications


Item Specification
Product ArmPi Ultra
Size 288*177*450mm
Weight 1.47kg (Standard kit)
Controller STM32F103RBT6
Material Full metal aluminum alloy bracket, sandblasted and anodized finish
Control methods ROS topic/node control, Python program control, app control, PC software control
Power supply 7.4V 6A DC
Storage 64GB SD Card
Software PC software + iOS / Android app
Communication USB 2.0×2; USB3.0×2; serial port
Camera USB Monocular Camera / Aurora Depth Camera
OS RaspberryOS + Ubuntu 22.04 LTS (Docker)
Programming tools Python /C/C++ /Javascript
Servo models HTS-16L, HTS-25L, HX-06L, LX-15D, LX-225 intelligent bus servos
Tutorials User manual, comprehensive tutorial, ROS source code, STM32 source code, system images, software
Packaging weight & dimensions 3.2kg, 50x30x16cm;

Hiwonder ArmPi Ultra ROS2 3D Vision Robot Arm, with Multimodal AI Large Language Models (ChatGPT), AI Voice Interaction, Vision Recognition, Tracking & Sorting

Item no : 52478069312
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