Mobile and ROS robots

ROSOrin

A ROS2 robot car on Jetson or Raspberry Pi 5; Advanced and Ultimate kits switch between three chassis types.

Raspberry Pi
NVIDIA Jetson
Suggested for university

ROSOrin is a multimodal AI robot car that Hiwonder developed on ROS2, with a choice of NVIDIA Jetson or Raspberry Pi 5 controllers. The Starter and Standard kits come on a mecanum wheel chassis; the Advanced and Ultimate kits add the parts to switch between mecanum, Ackermann and differential drive. A TOF lidar handles SLAM mapping, navigation and obstacle avoidance. The Standard, Advanced and Ultimate kits carry an Aurora930 Pro 3D depth camera and the Starter Kit a monocular camera. Every kit has a voice unit, either the WonderEcho Pro AI voice interaction box or a circular 6-microphone array, and ROSOrin connects multimodal large AI models and the OpenClaw agent framework for voice interaction and scene understanding.

Zeta42 is an authorised Hiwonder partner in the Middle East.

Configurations

Choose how it ships.

Model: Starter Kit · Standard Kit · Advanced Kit · Ultimate Kit
Controller: Without 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)

What it does

Built for.

Three chassis in one (Advanced and Ultimate Kit)
The Advanced and Ultimate kits include the parts to switch between mecanum wheels for movement in any direction, an Ackermann chassis with car-style steering, and a four-wheel differential chassis. The Starter and Standard kits come on the mecanum chassis.
Lidar SLAM
The STL-19P D500 TOF lidar supports several mapping algorithms, path planning, fixed-point navigation and dynamic obstacle avoidance. Several robots can also navigate in formation.
3D depth camera
From the Standard Kit up, the depth camera handles depth image data, point clouds, 3D visual mapping and navigation, and distance and volume measurement.
Built-in vision algorithms
OpenCV, MediaPipe and YOLO object detection cover colour and object tracking, face recognition, gesture control and pose detection.
Voice and large AI models
ChatGPT turns spoken commands into actions: vision tracking, line patrolling with obstacle avoidance, and multi-point navigation with a description of what it finds. With OpenClaw, it breaks remote commands into steps and plans tasks. The 6-microphone array adds sound source localisation and noise reduction over the WonderEcho Pro box.
Simulation
ROSOrin supports Gazebo simulation, and its URDF model can be viewed in RViz to check mapping and navigation while debugging.

Where it is used

Applications.

University ROS2 courses in SLAM, navigation and vision
Comparing drive systems on one robot: mecanum, Ackermann and differential (Advanced and Ultimate Kit)
Embodied AI projects with voice commands and large AI models
Multi-robot formation and group control

Videos

See it run.

Specifications

The full sheet.

Size and weight, mecanum chassis: 277 × 212 × 166 mm, 2.66kg
Size and weight, Ackermann chassis (Advanced and Ultimate Kit): 277 × 204 × 169 mm, 2.15kg
Size and weight, four-wheel differential chassis (Advanced and Ultimate Kit): 277 × 204 × 166 mm, 2.26kg
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: 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
Camera: Monocular camera (Starter Kit); Aurora930 Pro 3D depth camera (Standard, Advanced and Ultimate Kit)
Depth camera working distance: 15-300 cm
Depth accuracy: ±8mm @1m
LiDAR: STL-19P D500 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 SSD (Jetson Orin Nano, Jetson Orin NX)
Tutorials: Comprehensive tutorials, ROS source code, system image, supporting software