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Hiwonder JetAuto AI Robot Kit, NVIDIA Jetson/Raspberry Pi 5 Powered ROS Educational Robot with OpenClaw & Multimodal AI Model (ChatGPT...), Voice Control, SLAM & AI Vision
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Hiwonder JetAuto AI Robot Kit, NVIDIA Jetson/Raspberry Pi 5 Powered ROS Educational Robot with OpenClaw & Multimodal AI Model (ChatGPT...), Voice Control, SLAM & AI Vision
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Hiwonder JetAuto AI Robot Kit, NVIDIA Jetson/Raspberry Pi 5 Powered ROS Educational Robot with OpenClaw & Multimodal AI Model (ChatGPT...), Voice Control, SLAM & AI VisionJetAuto robotic tutorial: schematics, codes, videos & projects. Everything for STEAM education, all in one place. https: wiki. hiwonder. com projects JetAuto en jetauto orin nano . Product Description JetAuto is a high performance AI robot car tailored for ROS based education. Equipped with a Mecanum wheel suspension chassis, NVIDIA Jetson controller, LiDAR, 3D depth camera, microphone array, and HD display, it delivers robust functionalities
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JetAuto robotic tutorial: schematics, codes, videos & projects. Everything for STEAM education, all in one place. https://wiki.hiwonder.com/projects/JetAuto/en/jetauto-orin-nano/.
Product Description
JetAuto is a high-performance AI robot car tailored for ROS-based education. Equipped with a Mecanum-wheel suspension chassis, NVIDIA Jetson controller, LiDAR, 3D depth camera, microphone array, and HD display, it delivers robust functionalities including motion control, mapping and navigation, path planning, obstacle avoidance, human recognition, somatosensory interaction, and voice interaction.
JetAuto deploys multimodal AI models supporting both online and local deployment and deeply integrates the OpenClaw agent. This allows it to independently execute advanced embodied AI applications, including natural voice interaction, scene understanding, cross-platform collaboration, intelligent information aggregation, proactive response, dynamic low-level invocation, and spatial vector memory.
Integrated with OpenClaw Agent
Deeply integrated with the OpenClaw agent, JetAuto can be controlled through a PC or app, breaking device and scenario limitations. With built-in remote text and voice control, it supports multimodal command input, accurately perceives complex environments, makes real-time intelligent decisions, and autonomously plans and completes refined task workflows.
Multimodal AI Model Deployment
JetAuto supports both online and offline local deployment of multimodal AI models, enabling intuitive voice control and precise visual tracking. Driven by semantic understanding, it also executes autonomous line following and intelligent obstacle avoidance.
Equipped with 3D Depth Camera
Featuring a high-performance 3D depth camera, JetAuto captures high-precision 3D point cloud data and environmental depth information in real time. Coupled with advanced vision algorithms, it grants the robot sharp spatial perception.
Built-in High-Performance LiDAR
The high-performance LiDAR delivers precise spatial awareness for real-time mapping and navigation. The system autonomously handles global path planning, enabling responsive dynamic obstacle avoidance and accurate multi-point cruising.
Dual-Controller Design for Efficient Collaboration
360° Omnidirectional Movement
Powered by four Mecanum wheels, JetAuto features 360° omnidirectional mobility. Seamlessly blending forward, lateral, diagonal, and in-place rotational movements, it effortlessly navigates any complex route.
7-inch HD LCD Touch Screen
With a resolution of 1024 x 600 pixels and compatible with NVIDIA, this screen allows you to freely monitor and debug various parameters of the robot.
240° High-performance Pan-tilt
The 240° high-performance pan-tilt offers agile rotation and precise positioning. It guarantees stable, rock-solid capture of both imagery and environmental data during dynamic tracking and panoramic scanning.
Circular 6-Microphone Array
With a 6-channel far-field microphone array and speaker setup, JetAuto easily enables multi-dimensional interactions, including precise sound source localization and efficient voice control.
Function List
Creative Applications of Multimodal Large AI Models
Deeply integrated with multimodal AI models, JetAuto leverages Large Language Models (LLMs) to precisely understand complex, flexible voice commands for high-precision waypoint navigation. Upon arrival, it seamlessly invokes Vision-Language Models (VLMs) for comprehensive embodied perception and logical reasoning regarding surrounding objects and unexpected events. This solution delivers an elevated interactive experience while efficiently meeting the complex demands of real-world scenarios.
Semantic Understanding
Hiwonder JetAuto leverages a large language model to accurately interpret and analyze user voice commands, enabling a deeper understanding of natural language intent.
Scene Understanding
With the support of a vision language model, JetAuto can deeply interpret the semantic information of its environment, including surrounding objects and events within its field of view.
Intelligent Navigation
JetAuto continuously sends environmental data to the vision language model for real-time in-depth analysis. JetAuto AI robot car dynamically adjusts its navigation path based on user voice commands, allowing it to autonomously navigate to designated areas and deliver intelligent, adaptive routing.
Autonomous Patrolling
Utilizing semantic understanding from a large language model, JetAuto can accurately detect and track lines of various colors in real time while autonomously navigating obstacles, ensuring smooth and efficient patrolling.
Large AI Models × OpenClaw Integrated SLAM Mapping & Navigation
Large AI Models × OpenClaw × Automated Task Decomposition
Multimodal AI models deconstruct ambiguous remote instructions into direct executable actions, empowering the robotic arm with pinpoint execution via OpenClaw.
Large AI Models × Multi-Point Navigation × Scene Understanding
Deeply understanding complex environments, the robot autonomously plans paths and nimbly avoids obstacles during waypoint navigation, blending real-time visual analysis with agile mobility.
Large AI Models × OpenClaw × Intelligent Information Summary
By capturing comprehensive visual data and analyzing on-site information, the system automatically generates intuitive decision reports to achieve fully automated end-to-end data delivery.
Large AI Models × OpenClaw × Proactive Response
With global situational awareness, the robot proactively analyzes anomalies or vague instructions, proposes alternatives, and seeks authorization to maintain peak workflow efficiency.
Large AI Models × OpenClaw × Dynamic Low-Level Invocation
Multimodal AI models perceive environmental and object states in real time, intelligently tuning mobile chassis algorithms to maximize operational efficiency across complex tasks.
Large AI Models × OpenClaw × Spatial Vector Memory
Backed by powerful environmental memory, the robot automatically applies proven strategies to similar scenarios, advancing the closed loop between cognition and action.
Key ROS Features
ROS Robot Operating System
Global Popular Robotic Communication Framework
ROS is an open-source meta operating system for robots. It provides some basic services, such as hardware abstraction, low-level device control, implementation of commonly used functionality, message-passing between processes, and package management. And it also offers the tools and library functions needed to obtain, compile, write, and run code across computers. It aims at providing code reuse support for robotics research and development.
Gazebo Simulation
JetAuto is built on the Robot Operating System (ROS) and integrates with Gazebo simulation. This enables effortless control of the robot in a simulated environment, facilitating algorithm prevalidation to prevent potential errors. Gazebo provides visual data, allowing you to observe the motion trajectories of each endpoint and center. This visual feedback facilitates algorithm enhancement.
Body Simulation Control
Through robot simulation control, algorithm verification of mapping navigation can be carried out to improve the iteration speed of the algorithm and reduce the cost of trial and error.
Rviz Shows URDF Model
Provide an accurate URDF model, and observe the mapping navigation effect through the Rviz visualization tool to facilitate debugging and improving algorithms.
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 motor is equipped with a high-precision magnetic encoder, has strong horsepower, high precision, and strong anti-interference ability.
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
520 motor comes with high-accuracy encoder, and features strong force and high performance. The built-in AB phase incremental Hall encoder stands out for its high accuracy and anti-interference ability.
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.
Multi-functional Expansion Board
The expansion board has a built-in IMU sensor which can detects robot posture in real time. There are 2-channel PWM, two keys, a LED, a buzzer, 9-channel serial bus servo interface, two GPIO expansion ports and two llC interfaces on it.
Lithium battery parameters
The fuselage has a built-in 11.1V 6000mAh large-capacity lithium battery to improve the robot's endurance.
Specification Parameters
| Size: | 302*260*256mm |
| Weight: | 3500g |
| Material: | Full-metal hard aluminum alloy bracket |
| Battery: | 11.1V 6000mAh lithium battery |
| Continuous working life: | 60min |
| Hardware: | ROS controller and ROS expansion board |
| Operating system: | Ubuntu 18.04 LTS + ROS Melodic |
| Software: | iOS/ Android APP |
| Communication: | USB/ WiFi / Ethernet |
| Programming language: | Python/ C/ C++/ JavaScript |
| Storage: | 32GB TF card |
| Servo: | HTS-20H serial bus servo |
| Control method: | Phone/ Handle control |
| Package size (advanced kit): | 34*32*23cm |
| Package weight (advanced kit): | About 4.5kg |
Product Parameters
Dimensional Diagram
SLAMTEC A1 Lidar Parameters
EAI G4 Lidar Parameters
7-inch LCD Screen Parameters
HTS-20H Servo Parameters
Specifications
| Item | Specification |
| Size: | 302*260*256mm |
| Weight: | 3500g |
| Material: | Full-metal hard aluminum alloy bracket |
| Battery: | 11.1V 6000mAh lithium battery |
| Continuous working life: | 60min |
| Hardware: | ROS controller and ROS expansion board |
| Operating system: | Ubuntu 18.04 LTS + ROS Melodic |
| Software: | iOS/ Android APP |
| Communication: | USB/ WiFi / Ethernet |
| Programming language: | Python/ C/ C++/ JavaScript |
| Storage: | 32GB TF card |
| Servo: | HTS-20H serial bus servo |
| Control method: | Phone/ Handle control |
| Package size (advanced kit): | 34*32*23cm |
| Package weight (advanced kit): | About 4.5kg |
Hiwonder JetAuto AI Robot Kit, NVIDIA Jetson/Raspberry Pi 5 Powered ROS Educational Robot with OpenClaw & Multimodal AI Model (ChatGPT...), Voice Control, SLAM & AI Vision
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