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
【NVIDIA Jetson & Raspberry Pi 5 Powered】 Driven by high-performance Jetson and Raspberry Pi 5 controllers, JetAuto Pro delivers native ROS1/ROS2 compatibility. With integrated TensorRT and deep learning frameworks, JetAuto is purpose-built for advanced AI applications, SLAM, and vision recognition.
【Multimodal Large AI Models & OpenClaw】 Deploying OpenClaw and ChatGPT-centric multimodal models, the system seamlessly fuses 3D vision with a 6-microphone array. This enables natural, context-aware voice interaction that fully empowers real-world embodied AI applications.
【Advanced Dual-Sensor SLAM & Navigation】 Pairing a 3D depth camera with LiDAR, the robot natively supports Gmapping and Cartographer algorithms. It delivers high-precision multi-point autonomous navigation, dynamic obstacle avoidance, and real-time 3D point cloud mapping.
【Versatile Cross-Platform Control】 Supports cross-platform control via mobile apps, wireless controllers, and keyboards. It can seamlessly import custom code to autonomously decompose tasks and precisely execute complex actions.
【Progressive STEAM & Complete Simulation】 Master development with a structured curriculum covering ROS, 3D vision, MoveIt motion planning, and Gazebo simulation. Backed by comprehensive documentation, it empowers developers to rapidly build intelligent robotic systems.
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/.
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.
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.
| 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 |
| 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 |
Shipping & Delivery
1. Free Shipping Policy
Hiwonder offers free standard shipping on orders over US $499 (before tax and duties), delivered via trusted carriers such as DHL, UPS, or FedEx.
Most orders arrive within 6 working days after dispatch. You can check if your country is eligible for free shipping in the regions listed below.
Eligible Regions
- Americas: United States, Canada, Mexico, Chile
- Europe: Germany, United Kingdom, Netherlands, Switzerland, France, Austria, Italy, Belgium, Spain, Sweden, Finland, Norway, Portugal, Czech Republic, Poland, Greece, Slovenia, Romania, Denmark, Bulgaria, Luxembourg, Slovakia, Hungary, Ireland, Estonia, Lithuania
- Asia: China, Japan, Singapore, South Korea, United Arab Emirates, Malaysia, Thailand, Philippines, Indonesia
- Oceania: Australia, New Zealand
If your country or region is not listed above, the shipping cost will be automatically calculated at checkout once you enter your shipping address.
2. Customs & Import Fees
All international shipments are subject to local customs regulations. Import duties, taxes, or other fees may be charged by your country's customs authority upon arrival.
Our shipping term is FOB Shenzhen, which means these fees, if any, are the customer's responsibility. The shipping carriers will assist with the customs clearance process to ensure smooth delivery.
If a package is returned due to unpaid customs duties, any related return or reshipping fees will be deducted from your refund.
3. Order Processing Time
Orders are typically processed within 24 hours after placement and shipped the next business day.
Orders placed on weekends or public holidays will be shipped on the next working day.
Once shipped, you will receive a confirmation email with tracking information.
Questions & Answers
Have a Question?
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where do we get 3d models of these parts
Hello, please share your order number to support@hiwonder.com, and our team will provide you with the file
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do you deliver to davao city, philippines?
Yes, you can directly place order on our official website:)
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Hi, What is the "Hiwonder JetAuto ROS1 ROS2 Robot Car Powered by Jetson Nano with Lidar Depth Camera Touch Screen, Support SLAM Mapping and Navigation" used for? I mean, after learning all that is mentioned on the product page, i.e. (Robot Underlying Function, Mapping Navigation Functions, Vision Processing Functions, etc.) - how do I use all that learning? Are all these learnings used for a job, a hobby, or to start a robotics company? I am totally clueless about the real-life use cases of what I learned from this product. Can you please guide me on this? Thank you. Furthermore, do you have any Google Drive links with tutorials?
It is primarily used for Python programming education. For more details, refer to the section "What Can You Learn?" You can also access the detailed tutorial through the following link: https://drive.google.com/drive/folders/1AdtGPZs15ZxV2N0FR-1v13G8QhGK1Lry?usp=sharing
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Hi, I'd like to know what's the payload for this robot car?
Hello,
We apologize, but unfortunately, we don't have the specific data you're looking for at this time.
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hi i need the image for jetson nano 4GB to start with my robot (mecanum wheels chasiss)
Hi there, pls contact our support email with your order number. We will provide the image asap.
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Since Ubuntu 18.04 is not supported after 2023, how should we program this robot? Is ROS noetic support this robot?
No worries, Ubuntu 18.04 is still availble and can program. JetAuto adopts docker.
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Hi there, what would be the maximum linear speed of the robot (m/s).
Hi there! It's around 0.7 m/s
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Would it be possible to extend this with connectivity to an AI API (like ChatGPT) to not only allow basic chat control but also full text to speech output for conversation with the AI. If so what would the basic approach be?
Our other customers have successfully connect the JetAuto to ChatGPT, so JetAuto is compatible. Since this belongs secondary development, we cannot provide any suggestion. We appreciate your understanding to this matter. Thank you!
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Are there videos or explanations of how to implement this robot in detail?
Yes, you can find the videos in this link: https://www.youtube.com/playlist?list=PLFbzd0m6AcmIKG3E_Nso9wvjIfMpvkOH2
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Hi, I just received the package few days ago, i just wonder if we can use intel Realsense instead of Astra? how can we connect other 3D Camera to JetAuto? i suppose that we need to modify the code of program to re-define camera. Is there any forum or further docs to do some more with JetAtuo. Thanks,
Yes, you can change the depth camera, but please note that there is no related documents available:(
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Hi I am a researcher at York University in Toronto, Canada. I am interested in your product "Hiwonder JetAuto" for a use in multi-robot configurations. In this context, I want to have more details on the communication architectures that are possible through WIFI. Can we stablish decentralized talking, where each robot can individually and independently talk to a neigboring robot without having to route the message through a WIFI router ???? I noticed each vehicle is equipped with antennas, do you think we can make the antennas exchange signals directly without linking to a central router ? If not then routing all the vehicles through a central router within a standard WIFI network to establish communications is required, in that case, what do you recommend to manage communication protocols and priorities for multiple robots talking simultaneously ? Do you have a custom solution ? Thank you very much.
Under AP direct connection mode, it is possible to interconnect multiple JetAutos. However, it is important to note that the quality of the connection may not be as optimal as when using a router. In order to ensure efficient multi-robot control and formation, we typically utilize ROS distributed communication. This application necessitates a high-quality communication bandwidth. Therefore, we recommend using a router for optimal performance and reliable operation.
