Hiwonder JetAuto ROS Robot Car Powered by Jetson Nano with Lidar Depth Camera Touch Screen, Support SLAM Mapping and Navigation
- 【Smart ROS Robots Driven by AI】JetAuto is powered by NVIDIA Jetson Nano B01 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 (advanced).
- 【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.
DC Geared Motor
It offers robust force, has a high-precision encoder,and includes a protective end shell to ensure an extended service life.
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
JetAuto's high-precision pendulum suspension structure balances the force exerted on all four wheels, enabling good adaptability to uneven surfaces.
6CH Far-field Microphone Array
The 6-channel microphone array and speakers support sound source positioning, voice recognition control, voice navigation and other functions.
Lidar Mapping Navigation
JetAuto is equipped with lidar, which supports path planning, fixed-point navigation, navigation and obstacle avoidance, multiple algorithm mapping, and realizes radar guard and radar tracking functions.
Deep Learning, Autonomous Driving
With JetAuto, you can design an autonomous driving scenario to put ROS into practice, which enables you to better understand core functions of autonomous driving.
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 reduction ratio and the high torque of 15kg.cm enable the motor to adapt to car chassis made of various materials.
|
|
|
|
|
|---|---|---|---|---|
| JetTank | JetAcker | JetAuto | JetAuto Pro | |
| Chassis | Tracked chassis | Ackerman steering structure | Pendulum suspension chassis | Pendulum suspension chassis |
| Wheel | Nylon track | 100mm Solid rubber wheel | 97mm Mecanum wheel | 97mm Mecanum wheel |
| Motor | 520 Motor*2 | 520 Motor*2 | 520 Motor*4 | 520 Motor*4 |
| Servo | Intelligent servo*1 | Intelligent servo*2 | Intelligent servo*1 | Intelligent servo*5 |
| Camera | Astra Pro Plus depth camera | Astra Pro Plus depth camera | Astra Pro Plus depth camera | Astra Pro Plus depth camera and monocular camera |
| Wheel | Nylon track | 100mm Solid rubber wheel | 97mm Mecanum wheel | 97mm Mecanum wheel |
| Lidar | SLAMTEC A1/ EAI G4 | |||
| Robot Arm | / | / | / | Monocular vision robotic arm |
| Features | ROS in-depth development Able to overcome obstacles | Autonomous driving research | Pendulum suspension for stable driving 360° omnidirectional movement | Grabbing and transporting |
| 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): | 335* 320*225mm |
| Package weight (advanced kit): | About 4500g |
| Item | Specification |
| Size | 302*260*256mm |
| Product weight | 3500g |
| Material | Full-metal hard aluminum alloy bracket (anodized) |
| Battery | 11.1V 6000mAh Lipo 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) | 335* 320* 225mm |
| Package weight (advanced kit) | About 4500g |
QUESTIONS & ANSWERS
Ask a Question-
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.
