Hiwonder ROSOrin is a multimodal AI robot developed on ROS2. It features a modular chassis design that allows fast switching between Mecanum, Ackermann, and differential drive chassis, enabling flexible adaptation to diverse scenarios. ROSOrin robot is equipped with high-performance hardware including NVIDIA Jetson, Raspberry Pi 5, LiDAR, 3D depth camera, and an integrated 6-microphone array. It easily supports motion control, mapping and navigation, path planning, 3D perception, tracking and obstacle avoidance, object recognition, target tracking, gesture interaction, and voice interaction. ROSOrin deploys a multimodal large AI model that combines AI vision and LiDAR sensing to understand environments, plan actions, and execute tasks autonomously. It enables advanced embodied intelligence applications and is an ideal platform for learning ROS development and AI robotics. 

Integration of Large AI Model with SLAM-Based Mapping and Navigation

Large AI Model–Driven Embodied AI Applications

Key ROS Features

Large AI Model Robot Comparison

 

 

Wrapped Rear Tail Shell 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.

Permanent Magnet Brushed Motor The permanent magnet DC motor has fast starting response speed, large starting torque and smooth speed change.

High-precision Magnetic Encoder The permanent magnet DC motor has fast starting response speed, large starting torque and smooth speed change.

Adapt to Various Scenes The low speed of 1:90 ratio and the high torque of 15kg.cm enable the motor to adapt to car chassis made of various materials.

 

Hall Encoder Geared Motor The Hall speed measurement code disc is a speed measurement module that utilizes Hall sensor encoders. Equipped with a strong magnetic disc, it generates AB phase output pulse signals, enabling the detection of motor rotation direction and speed.

Mecanum Wheel The mecanum wheel has a compact structure and flexible movement, supports 360° all-round movement, and realizes the full lateral movement of the car.

 

 

Specification Parameters

Machine Model	Mecanum Chassis Version (Standard)	Ackerman Chassis Version (Standard)	Four-Wheel Differential Chassis Version (Standard)
Product Dimensions	277 × 212 × 166 mm	277 × 204 × 169 mm	277 × 204 × 166 mm
Product Weight	2.66 kg	2.15 kg	2.26 kg
Motor	520 metal gear reduction motor
Encoder	High-precision AB quadrature encoder
Chassis Material	Full-metal aluminum alloy chassis with anodized finish
ROS Controller	Jetson Nano / Jetson Orin Nano / Jetson Orin NX / Raspberry Pi 5 board
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	MS200 TOF LiDAR
Battery	11.1V 6000mAh 3C lithium battery
Audio / Pickup	WonderEcho Pro AI voice interaction box / 6-mic array module
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 TF card (Jetson Orin Nano) 128G SSD (Jetson Orin NX)
Servo Model	LD-1501MG
Map / Props	AI sandbox map for autonomous driving, traffic lights, road signs
Tutorials	Comprehensive tutorials, ROS source code, system image, supporting software

 

Dimensional Diagram

 

ROSOrin Starter Packing List

 

ROSOrin Standard Packing List

 

ROSOrin Advanced Packing List

 

ROSOrin Ultimate Packing List

 

Tutorials

https://docs.hiwonder.com/projects/ROSOrin/en/jetson-orin-nano-version/