Mobile and ROS robots

ROSOrin Pro

ROSOrin with a 6DOF robotic arm and 3D depth camera, for navigation, grasping and OpenClaw AI tasks.

Raspberry Pi
NVIDIA Jetson
Suggested for university

ROSOrin Pro builds on the ROSOrin robot car with a 6DOF robotic arm and a 3D depth camera, so it can recognise, grasp, sort and carry objects in three dimensions as well as map and navigate. Every kit has a TOF lidar, the Aurora930 Pro depth camera and the arm; the Advanced Kit adds the WonderEcho Pro AI voice interaction box, and the Ultimate Kit adds a 7-inch HD touchscreen as well. It runs on a Raspberry Pi 5 or an NVIDIA Jetson, supports ROS1 and ROS2, and works with multimodal large AI models and the OpenClaw agent framework. Online models work on every controller; local models need a Jetson Orin Nano or Orin NX. Hiwonder provides learning materials, project examples and open-source code.

Zeta42 is an authorised Hiwonder partner in the Middle East.

Configurations

Choose how it ships.

Model: Standard Kit · Advanced Kit · Ultimate Kit
Controller: Without ROS Controller · With Raspberry Pi 5(4GB) · With Raspberry Pi 5(8GB) · With Jetson Nano(4GB) · With Jetson Orin Nano Super(4GB) · With Jetson Orin Nano Super(8GB) · With Jetson Orin NX Super(8GB) · With Jetson Orin NX Super(16GB)

What it does

Built for.

Hand-eye coordination
The depth camera and the 6DOF arm work together through built-in inverse kinematics for 3D object recognition, positioning and tracking, distance and volume measurement, and grasping, sorting and transport.
Smart bus servos
Six intelligent bus servos with metal gears drive the arm and report position and status. The arm grips objects up to 400g with ±2 mm repeatability.
TOF lidar navigation
The lidar fuses encoder and IMU data and supports several mapping algorithms, obstacle avoidance, target following, and fixed-point and multi-point navigation.
Large AI models and OpenClaw
ROSOrin Pro reaches online models through the ChatGPT, Gemini, Grok and Llama APIs, and runs local models offline on a Jetson Orin Nano or Orin NX. OpenClaw takes text and voice commands from a PC or the app and plans and carries out multi-step tasks such as sorting and transport.
Voice (Advanced and Ultimate Kit)
The AI voice interaction module supports custom wake words and command words and both online and offline voice interaction.
Chassis, control and simulation
A mecanum chassis with swing suspension carries it all. Control it from the app with a live first-person view, from graphical PC software without coding, or with a PS2 wireless controller, and test algorithms in Gazebo and RViz.

Where it is used

Applications.

University ROS courses covering navigation, 3D vision and manipulation
Mobile manipulation: navigate, grasp, sort and transport
Embodied AI research with large AI models and an agent framework
Inverse kinematics and 3D grasping exercises

Videos

See it run.

Specifications

The full sheet.

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, 1:90 reduction ratio, 15kg.cm torque
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
Robotic arm: 6DOF, six intelligent bus servos; grips objects up to 400g; ±2 mm repeatability
Servo model: HTS-21H intelligent bus servo, HX-12H intelligent bus servo
Audio / pickup: WonderEcho Pro AI voice interaction box (Advanced and Ultimate Kit)
Touchscreen: 7-inch HD touchscreen (Ultimate Kit)
Offline large AI models: Jetson Orin NX and Jetson Orin Nano only; online models on every controller
Battery: 11.1V 6000mAh 3C lithium battery
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)
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