【ROS2 & High-Performance Hardware】 Built on ROS2, ROSOrin Pro is compatible with Jetson and Raspberry Pi 5. Featuring an AI voice interaction module, a 6DOF robotic arm, and other high-performance hardware, it supports motion interaction, voice control, intelligent grasping, and more creative applications.
【AI Large Models and OpenClaw Agent】 Supports multimodal AI large model deployment, including online access and local offline deployment. Deep integration with the OpenClaw agent enables remote voice and text commands, autonomous task breakdown, intelligent decision-making, and complex task execution.
【Mapping, Navigation, and 3D Vision】 Equipped with a TOF LiDAR and a 3D depth camera, ROSOrin Pro supports SLAM mapping, path planning, and dynamic obstacle avoidance, while enabling 3D object recognition, grasping, sorting, transport, and other advanced human-robot collaboration tasks.
【Integrated Algorithm Framework】 Integrates YOLO26, OpenCV, MediaPipe, Gmapping, inverse kinematics, and other algorithms and tools, providing a highly configurable and extensible development environment.
【Comprehensive Development Resources】 Comes with extensive tutorials and development manuals, covering the full learning path from beginner to advanced levels for faster robot development.
Get your ROSOrin Pro tutorials: https://wiki.hiwonder.com/projects/rosorin-pro/en/latest/.
| Item | Specification |
| Product model | ROSOrin Pro (Ultimate Kit) |
| Product dimensions | 284 × 212 × 544 mm (Ultimate Kit) |
| Product weight | Standard Kit:3.1kg, Advanced Kit:3.2kg, Ultimate Kit:3.6kg |
| Motor | 520 metal gear reduction motor |
| Encoder | High-precision AB quadrature encoder |
| Chassis material | Full-metal aluminum alloy chassis with anodized finish |
| ROS controller | Raspberry Pi 5 / Jetson Nano / Jetson Orin Nano / Jetson Orin NX |
| Multi-function expansion board | STM32 ROS robot controller, Jetson multi-function expansion board |
| Control method | App control, wireless controller control, PC software control |
| Depth camera | Aurora 930 Pro 3D depth camera |
| LiDAR | COIN-D6 TOF LiDAR |
| Battery | 11.1V 6000mAh 3C lithium battery |
| Audio/Pickup | WonderEcho Pro AI voice interaction box |
| Operating system | Ubuntu 18.04 LTS + ROS Melodic / Ubuntu 22.04 / ROS2 Humble |
| Software | iOS / Android app |
| Communication method | WiFi / Ethernet |
| Programming tools | Python / C / C++ / JavaScript |
| Storage | 64G TF card (Jetson Nano, Raspberry Pi 5) 128G SSD (Jetson Orin Nano, Jetson Orin NX) |
| Servo model | HTS-21H intelligent bus servo, HX-12H intelligent bus servo |
| Map/Props | AI sandbox map for autonomous driving, traffic lights, and road signs |
| Tutorials | Comprehensive tutorials, ROS source code, system image, and supporting software |
| Package weight and dimensions | Standard Kit: 4.1 kg, Advanced Kit: 4.2 kg, Ultimate Kit: 4.6 kg 418 × 260 × 245 mm |

ROSOrin Pro is a versatile robotic platform developed by Hiwonder for advanced ROS education. Building on the strong mobility of ROSOrin, it further integrates a 3D depth camera and a 6DOF robotic arm, extending its capabilities into three-dimensional space. This allows it to easily handle 3D grasping and transport tasks while meeting advanced research and development needs from environmental perception to physical manipulation.
ROSOrin Pro is equipped with high-performance hardware, including Jetson, Raspberry Pi, a TOF LiDAR, a 3D depth camera, and an AI voice interaction module. It supports a wide range of applications such as motion control, mapping and navigation, path planning, tracking and obstacle avoidance, and voice interaction. Combined with map-based sandbox scenarios, it also supports the full learning and development process from basic algorithm training to hands-on autonomous driving practice.
ROSOrin Pro supports multimodal large AI model deployment with both online and local options, and is deeply integrated with the OpenClaw agent framework. This enables a complete workflow from multi-dimensional perception to physical execution, turning it into an AI assistant capable of independent thinking. It can autonomously perform complex remote tasks, including natural interaction control, 3D intelligent sorting, and SLAM-based mapping, navigation, and transport. Official resources include comprehensive learning materials, extensive secondary development project examples, and open-source access to the underlying code, providing an efficient integrated solution for ROS robot learning and development.

ROSOrin Pro supports multimodal large AI models. It can access the ChatGPT / Gemini / Grok / Llama ... API for online model capabilities and also supports local deployment, enabling fully offline AI interaction and control even without an internet connection.
Deeply integrated with the OpenClaw agent, ROSOrin Pro can be controlled through a PC or app, breaking device and scenario limitations. With built-in remote text and voice control, it supports multimodal command input, accurately perceives complex environments, makes real-time intelligent decisions, and autonomously plans and completes refined task workflows.
ROSOrin Pro combines 3D vision with a 6DOF robotic arm. Supported by built-in inverse kinematics, it enables 3D object recognition, positioning and tracking, distance and volume measurement, and real-scene mapping, making complex tasks such as grasping, sorting, and transport easy to achieve.
ROSOrin Pro is equipped with a high-precision TOF LiDAR. By fusing encoder and IMU data, it perceives the surrounding environment in real time and supports multiple mapping algorithms to meet navigation needs in complex scenarios.

The 3D depth camera supports YOLO26 object detection, human pose estimation, KCF object tracking, line following, and face tracking.
ROSOrin Pro is equipped with a LiDAR for obstacle avoidance, target following, fixed-point and multi-point navigation, as well as OpenClaw path planning and global task navigation.
Equipped with an AI voice interaction module, it supports custom wake words and command words, online and offline voice interaction, and OpenClaw-based fuzzy intent inference and completion.
The robotic arm is equipped with six intelligent bus servos that support feedback on position, status, and more. Featuring metal gears, they can grip objects up to 400g, deliver ±2 mm repeatability, and offer a long service life.








ROSOrin Pro supports development under both ROS1 and ROS2, and is compatible with Gazebo simulation for robot control and algorithm validation in virtual environments. This reduces dependence on physical testing conditions and improves development efficiency.
Robot simulation control makes it possible to validate mapping and navigation algorithms, accelerate algorithm iteration, and reduce trial-and-error costs.
Mapping and navigation performance can be visualized in RViz for easier debugging and algorithm refinement.
With the app, ROSOrin Pro can stream its first-person view in real time, control grasping and transport of designated objects, and switch freely between preset functions for a faster and more engaging robotics experience.
With graphical PC control software, ROSOrin Pro can be remotely controlled in real time, and its programs can be run directly from the PC. Dedicated host software is provided, making it easy to freely arrange and sequence ROSOrin Pro actions without any coding experience.
ROSOrin Pro can be controlled remotely with a PS2 wireless controller. Through programming, it can also be configured to perform different response actions.







It can effectively protect the PCB circuit and magnetic ring at the end of the motor from external influences, effectively improving the safety and service life of the motor.
The permanent magnet DC motor has fast starting response speed, large starting torque and smooth speed change.
The motor is equipped with a high-precision magnetic encoder, has strong horsepower, high precision, and strong anti-interference ability.
The low speed of 1:90 reduction ratio and the high torque of 15kg.cm enable the motor to adapt to car chassis made of various materials.
The expansion board features two built-in function buttons, along with two onboard I2C ports and two GPIO ports, facilitating easy development and expansion.
Powered by high-quality 18650 cells, the battery includes a built-in protection circuit to prevent electrical faults like overcharge, over-discharge, overcurrent, and short circuits. It is designed for durability, delivering over 300 charge cycles.

| Product model | ROSOrin Pro (Ultimate Kit) |
| Product dimensions | 284 × 212 × 544 mm (Ultimate Kit) |
| Product weight | Standard Kit:3.1kg, Advanced Kit:3.2kg, Ultimate Kit:3.6kg |
| Motor | 520 metal gear reduction motor |
| Encoder | High-precision AB quadrature encoder |
| Chassis material | Full-metal aluminum alloy chassis with anodized finish |
| ROS controller | Raspberry Pi 5 / Jetson Nano / Jetson Orin Nano / Jetson Orin NX |
| Multi-function expansion board | STM32 ROS robot controller, Jetson multi-function expansion board |
| Control method | App control, wireless controller control, PC software control |
| Depth camera | Aurora 930 Pro 3D depth camera |
| LiDAR | COIN-D6 TOF LiDAR |
| Battery | 11.1V 6000mAh 3C lithium battery |
| Audio/Pickup | WonderEcho Pro AI voice interaction box |
| Operating system | Ubuntu 18.04 LTS + ROS Melodic / Ubuntu 22.04 / ROS2 Humble |
| Software | iOS / Android app |
| Communication method | WiFi / Ethernet |
| Programming tools | Python / C / C++ / JavaScript |
| Storage | 64G TF card (Jetson Nano, Raspberry Pi 5) 128G SSD (Jetson Orin Nano, Jetson Orin NX) |
| Servo model | HTS-21H intelligent bus servo, HX-12H intelligent bus servo |
| Map/Props | AI sandbox map for autonomous driving, traffic lights, and road signs |
| Tutorials | Comprehensive tutorials, ROS source code, system image, and supporting software |
| Package weight and dimensions | Standard Kit: 4.1 kg, Advanced Kit: 4.2 kg, Ultimate Kit: 4.6 kg 418 × 260 × 245 mm |


| Item | Specification |
| Product model | ROSOrin Pro (Ultimate Kit) |
| Product dimensions | 284 × 212 × 544 mm (Ultimate Kit) |
| Product weight | Standard Kit:3.1kg, Advanced Kit:3.2kg, Ultimate Kit:3.6kg |
| Motor | 520 metal gear reduction motor |
| Encoder | High-precision AB quadrature encoder |
| Chassis material | Full-metal aluminum alloy chassis with anodized finish |
| ROS controller | Raspberry Pi 5 / Jetson Nano / Jetson Orin Nano / Jetson Orin NX |
| Multi-function expansion board | STM32 ROS robot controller, Jetson multi-function expansion board |
| Control method | App control, wireless controller control, PC software control |
| Depth camera | Aurora 930 Pro 3D depth camera |
| LiDAR | COIN-D6 TOF LiDAR |
| Battery | 11.1V 6000mAh 3C lithium battery |
| Audio/Pickup | WonderEcho Pro AI voice interaction box |
| Operating system | Ubuntu 18.04 LTS + ROS Melodic / Ubuntu 22.04 / ROS2 Humble |
| Software | iOS / Android app |
| Communication method | WiFi / Ethernet |
| Programming tools | Python / C / C++ / JavaScript |
| Storage | 64G TF card (Jetson Nano, Raspberry Pi 5) 128G SSD (Jetson Orin Nano, Jetson Orin NX) |
| Servo model | HTS-21H intelligent bus servo, HX-12H intelligent bus servo |
| Map/Props | AI sandbox map for autonomous driving, traffic lights, and road signs |
| Tutorials | Comprehensive tutorials, ROS source code, system image, and supporting software |
| Package weight and dimensions | Standard Kit: 4.1 kg, Advanced Kit: 4.2 kg, Ultimate Kit: 4.6 kg 418 × 260 × 245 mm |
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