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Hiwonder

Hiwonder JetAuto ROS Robot Car Powered by Jetson Nano with Lidar Depth Camera Touch Screen, Support SLAM Mapping and Navigation

Product SKU: HW2024088
  • 【Smart ROS Robots Driven by AI】JetAuto is powered by NVIDIA Jetson Nano and supports Robot Operating System (ROS). It leverages mainstream deep learning frameworks, incorporates MediaPipe development, enables YOLO model training, and utilizes TensorRT acceleration. This combination delivers a diverse range of 3D machine vision applications, including autonomous driving, human feature recognition, and KCF target tracking.
  • 【SLAM Development and Diverse Configuration】JetAuto is equipped with a powerful combination of a 3D depth camera and Lidar. It utilizes a wide range of advanced algorithms including gmapping, hector, karto, cartographer and RRT, enabling precise multi-point navigation, TEB path planning, and dynamic obstacle avoidance. Using 3D vision, it can capture point cloud images of the environment to achieve RTAB 3D mapping navigation.JetAuto offers two Lidar options: SLAMTEC A1 and EAI G4.
  • 【Far-field Voice Interaction】JetAuto advanced kit incorporates a 6-microphone array and speaker allowing for fascinating man-robot interaction applications, including Text to Speech conversion, voice wake-up, 360° sound source localization, offline voice recognition, voice-controlled mapping navigation, etc.
  • 【Robot Control Across Platforms】JetAuto provides multiple control methods, like WonderAi app (compatible with iOS and Android system), wireless handle, Robot Operating System (ROS) and keyboard, allowing you to control the robot at will. By importing corresponding codes, you can command JetAuto to perform specific actions. Please note that navigation app is exclusively available for Android system.
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Customer Reviews

Based on 6 reviews
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(6)
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L
Lester Mcpherson
This is the Robot you need.

I honestly can't believe what a good job Hiwonder did with this robot. I am not paid or getting anything for this review. The robot was extremely well put together and the wiring management was top notch. Everything advertised by Hiwonder aboiut this robot is 100% true. I can't really think of any negatives - it wasn't cheap but it was worth it. The screen is awesome, the camera is reall really really good - the price is not cheap but you really are getting what you pay for. One piece of advice i would give is if you are new to Robotics like me, take your time to really learn an understand the various systems. I also bought the TonyPi Pro, the Spiderbot Pro and the Amrpi Pro - all of them awesome....tempted on the PuppyPi Pro!! :-)

I
Isogai
Great material for studying AI

There are plenty of tutorials, videos, and software that can be downloaded from the homepage, which are very useful for learning AI computing.

H
Hiroshi
initial review

1, Functions of robot, very good as it includes
1, APP control with iphone, which is easy to start learning.
2, remote control via PC with NoMachine, which makes easy operation.
3, sereral types of AI, SLAM and path planning algo etc.,

2, Sales support is fast and quick. Receipt service and shipping was smooth.

J
JUYANG CHANG
car is amazing

The car is amazing but if the charge core is not on bottom of the car,it can easy for charging.

T
Troy
Great ROS robot

Surprisingly, the texture is super good. I got a JetAuto Advanced kit. The kit includes Jetson Nano controller, Lidar, Depth camera and microphone. It is very helpful for me to learn ROS. They can implement many tasks beyond my imagination. In the meantime, microphone are good for voice interaction, it is really interesting. Lidar and depth camera. Lidar and depth camera work very very with Jetson Nano.

Questions & Answers

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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.

  • Hi there, what would be the maximum linear speed of the robot (m/s).

    Hi there! It's around 0.7 m/s

  • 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!

  • 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

  • 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:(

  • 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.

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