Mobile and ROS robots

JetAuto Pro

JetAuto with a 6DOF vision robot arm: lidar SLAM, 3D vision and grasping on a mecanum wheel chassis.

Raspberry Pi
NVIDIA Jetson
Suggested for university

JetAuto Pro is a composite ROS robot that Hiwonder developed for ROS education: the JetAuto mecanum wheel car carrying a 6DOF vision robot arm, controlled by an NVIDIA Jetson or a Raspberry Pi 5. A lidar, a 3D depth camera, a camera on the arm and a 7-inch touchscreen cover mapping and navigation, path planning, obstacle avoidance, 3D grasping and transport. The Advanced and Ultimate kits add a 6-channel far-field microphone array for voice control and multimodal large AI models, which run online or locally on a Jetson Orin Nano or Orin NX controller and work with the OpenClaw agent. Hiwonder provides open-source code and learning resources.

Zeta42 is an authorised Hiwonder partner in the Middle East.

Configurations

Choose how it ships.

Model: Standard Kit · Advanced Kit · Ultimate Kit
Controller: Without Controller · 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.

An arm with its own camera
A monocular camera on the 6DOF arm works with the 3D depth camera for hand-eye coordination, so JetAuto Pro can locate objects and grasp, sort and carry them. MoveIt simulation is supported.
Lidar SLAM and transport
The lidar supports SLAM mapping, path planning, fixed-point navigation and dynamic obstacle avoidance, and with the arm JetAuto Pro can navigate to a target and transport it. The Ultimate Kit uses an EAI G4 lidar, the other kits a SLAMTEC A1.
3D depth camera
The depth camera scans the space at 0.6 to 8 m, giving point clouds and depth data for 3D mapping and for guiding the arm.
Voice and large AI models
In the Advanced and Ultimate kits, the far-field microphone array and speakers handle sound source location, voice control and voice navigation. Language, speech and vision models turn spoken or remote commands into actions for the arm and chassis. Hiwonder's kit comparison states these features need a Jetson Orin Nano or Orin NX.
OpenClaw agent
With the large AI models, the OpenClaw agent breaks remote commands into steps, reports what it finds, and proposes alternatives and asks for approval when an instruction is unclear.
Mecanum chassis
Four mecanum wheels move it forwards, sideways, diagonally and on the spot, driven by 520 Hall encoder motors with a 1:90 ratio and 15kg.cm of torque.

Where it is used

Applications.

University courses in mobile manipulation: navigate, grasp and transport
ROS teaching that covers SLAM, 3D vision and motion planning with MoveIt
Model logistics and waste sorting
Embodied AI projects with voice and vision models (Advanced and Ultimate kits with Jetson Orin)

Videos

See it run.

Specifications

The full sheet.

Size: 32.4 × 26 × 62.6 cm
Weight: 4.8kg
Material: Full-metal hard aluminum alloy bracket (anodized)
Battery: 11.1V 6000mAh LiPo battery
Continuous working time: 60 min
ROS controller: Jetson Nano / Jetson Orin Nano / Jetson Orin NX / Raspberry Pi 5
Operating system: Ubuntu 18.04 LTS + ROS Melodic / Ubuntu 22.04 + ROS2 Humble
Storage: 64GB TF card (Jetson Nano / Raspberry Pi) / 128GB solid state drive (Jetson Orin Nano / NX)
Servos: HTS-20H / HTD-35H / HX-12H / HTS-21H intelligent serial bus servos
Lidar: SLAMTEC A1 (Standard and Advanced Kit); EAI G4 (Ultimate Kit)
Depth camera range: 0.6-8m
Screen: 7-inch HD LCD touchscreen, 1024 × 600
Microphone: 6-channel far-field microphone array (Advanced and Ultimate Kit)
Software: PC remote control software + iOS / Android app
Communication: USB / WiFi / Ethernet
Programming language: Python / C / C++ / JavaScript
Control method: Phone / wireless control
Package size (Advanced Kit): 42 × 32 × 25 cm
Package weight (Advanced Kit): About 5.6kg