Hiwonder ArmPi Ultra ROS2 3D Vision Robot Arm, with Multimodal AI Large Language Models (ChatGPT), AI Voice Interaction, Vision Recognition, Tracking & Sorting
【AI-Driven & Raspberry Pi-Powered】Hiwonder ArmPi Ultra is a ROS robot with 3D vision robot arm developed for STEAM education. It's powered by RPi and compatible with ROS2. With Python and deep learning integrated, ArmPi Ultra is ideal for developing AI projects.
【AI Robotics with High-Performance】 ArmPi Ultra features six intelligent serial bus servos with a torque of 25KG. The robot is equipped with a 3D depth camera, a WonderEcho AI voice box, and integrates Multimodal Large AI Models, enabling a wide variety of applications, such as 3D spatial grabbing, tracking and sorting, scene understanding, and voice control.
【Depth Point Cloud, 3D Scene Flexible Grabbing】ArmPi Ultra 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 scenes and other AI projects.
【AI Embodied Intelligence, Human-Robot Interaction】 Hiwonder ArmPi Ultra leverages Multimodal Large AI Models to create an interactive system centered around ChatGPT. Paired with its 3D vision, ArmPi Ultra 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 ArmPi Ultra, you will master a broad range of cutting-edge technologies, including ROS development, 3D depth vision, OpenCV, YOLOv8, MediaPipe, Large AI models, robotic inverse kinematics, MoveIt, Gazebo simulation, and voice interaction. We provide learning materials and video tutorials to guide you step by step, ensuring you can confidently develop your AI-powered robotic 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.
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.
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.
| 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 | ||||
| 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 |
| 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; |
| 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; |
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