Mobile and ROS robots

JetRover

A ROS robot car with a 6DOF vision arm, lidar and 3D depth camera, on NVIDIA Jetson or Raspberry Pi 5.

Raspberry Pi
NVIDIA Jetson
Suggested for university

JetRover is a composite ROS robot that Hiwonder developed for ROS teaching: a robot car carrying a 6DOF robotic arm. It comes on a mecanum wheel, Ackerman or tank chassis and runs on an NVIDIA Jetson or a Raspberry Pi 5. A lidar handles SLAM mapping, path planning and obstacle avoidance, and a 3D depth camera on the end of the arm lets it recognise, track and grasp objects, so it can drive to a target, pick it up and deliver it. The Developer and Ultimate kits add a 6-microphone array for voice control and large AI model applications.

Zeta42 is an authorised Hiwonder partner in the Middle East.

Configurations

Choose how it ships.

Model: Standard Kit · Advanced Kit · Developer 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) · With Jetson Orin NX Super(16GB)
Chassis: Mecanum Chassis · Ackerman Chassis · Tank Chassis

What it does

Built for.

Three chassis
Choose a mecanum wheel chassis for movement in any direction, an Ackerman chassis with car-style steering, or a tank chassis on tracks.
Lidar SLAM
The lidar maps a space and supports path planning, fixed-point navigation and dynamic obstacle avoidance. Several JetRovers can navigate in formation, and the lidar can follow a moving target.
3D vision on the arm
The depth camera at the end of the arm recognises, tracks and grabs objects. JetRover also runs KCF target tracking, AR on AprilTags, MediaPipe fingertip, body and face detection, and YOLO object recognition.
Voice and large AI models
In the Developer and Ultimate kits, the far-field microphone array locates sound and takes voice commands. ChatGPT and a vision language model let JetRover navigate to spoken destinations and describe what it finds there. These features need a Jetson Orin Nano or Orin NX.
Simulation
JetRover supports Gazebo and MoveIt simulation, and its URDF model can be viewed in RViz to check mapping and navigation while debugging.

Where it is used

Applications.

University ROS courses covering SLAM, navigation and manipulation
Autonomous driving and navigation projects
Mobile manipulation: navigate, grab and transport
Multi-robot formation and group control

Videos

See it run.

Specifications

The full sheet.

JetRover M1 (mecanum chassis): 324 × 260 × 659 mm, 4.7kg
JetRover A1 (Ackerman chassis): 325 × 261 × 657 mm, 5.5kg
JetRover T1 (tank chassis): 345 × 246 × 660 mm, 4.3kg
Motor: Metal gear reduction motor
Encoder: 1024-line AB phase high-precision quadrature encoder
ROS controller: NVIDIA Jetson Nano / Jetson Orin Nano / Jetson Orin NX / Raspberry Pi 5
Lidar: SLAMTEC A1 (Standard, Advanced and Developer Kit); EAI G4 (Ultimate Kit)
Control method: USB serial port, CAN port, Bluetooth app, remote controller
USB expansion: USB HUB expansion board with 5A high current
Operating system: Ubuntu 18.04 LTS + ROS Melodic / Ubuntu 22.04 / ROS2 Humble
Software: iOS / Android app
Communication method: USB / WiFi / Ethernet
Programming language: Python / C / C++ / JavaScript
Servo type: HTS-20H / HTS-21H / HTD-35H / HX-12H intelligent serial bus servo
Package size: 41 × 32 × 25 cm
Package weight: About 6.5 kg