Hiwonder JetAuto Pro AI Robot Car with 6DOF Vision Robotic Arm, Support ROS1 ROS2, with Large AI Model (ChatGPT), SLAM Mapping/Navigation, AI Voice Interaction, Intelligent Sorting

The Hiwonder JetAuto Pro is an advanced composite ROS robot car equipped with a 6DOF robotic arm, designed specifically for ROS education and advanced AI research. It features high-performance hardware including LiDAR, a 3D depth camera, and a far-field microphone array to support complex autonomous tasks. This platform is ideal for students, educators, and robotics hobbyists looking to explore embodied AI, SLAM mapping, and intelligent manipulation.

OpenClaw agent integration

Deep integration with the OpenClaw agent framework establishes a closed loop from perception to physical execution. This allows the robot to be controlled via PC or app, supporting remote text and voice commands for autonomous task planning.

Multimodal large AI models

The platform deploys language, speech, and vision multimodal large AI models that support both online and local deployment. Integrating these models with AI vision enhances environmental perception and instruction comprehension.

6DOF vision robotic arm

Featuring a precise visual perception system, the 6DOF robotic arm captures and analyses spatial position, orientation, and surface texture details. This enables seamless autonomous grasping, sorting, and handling operations.

3D depth camera perception

A built-in depth camera provides real-time spatial scanning across a range of 0.6 to 8 metres. This allows the robot to adapt instantly to environmental changes, ensuring precise robotic arm execution without movement deviations.

Omnidirectional mecanum wheel movement

Equipped with four omnidirectional mecanum wheels, the robot can move in any direction, including horizontal, diagonal, and rotational paths. This mobility allows it to navigate complex routes and tight spaces with ease.

Dual-camera hand-eye coordination

The robot utilises a 3D depth camera alongside a monocular camera mounted on the arm to perceive 3D spatial information. This dual-camera setup enables precise hand-eye coordination for accurate target grasping.

LiDAR SLAM mapping and navigation

Equipped with LiDAR, the platform supports SLAM mapping, path planning, fixed-point navigation, and dynamic obstacle avoidance. This allows the vehicle to autonomously map its environment and navigate complex layouts.

High-performance hardware platform

Powered by an NVIDIA Jetson or Raspberry Pi, the robot features high-performance magnetic encoding motors and a 7-inch LCD screen. It includes a far-field microphone array to support voice interaction and group control formation.