JetAuto Pro ROS Robot Car with Vision Robotic Arm Powered by Jetson Nano Support SLAM Mapping/ Navigation/ Python
- 【Smart ROS Robots Driven by AI】 JetAuto Pro is a professional robotic platform for ROS learning and development, 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.
- 【SLAM Development and Diverse Configuration】JetAuto Pro 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 and cartographer, enabling precise multi-point navigation, TEB path planning, and dynamic obstacle avoidance.
- 【High-performance Vision Robot Arm】JetAuto Pro includes a 5DOF vision robot arm, featuring intelligent serial bus servos with a torque of 35KG. An HD camera is positioned at the end of robot arm, which provides a first-person perspective for object gripping tasks.
- 【Far-field Voice Interaction】JetAuto Pro advanced kit incorporates a 6-microphone array and speaker allowing for man-robot interaction applications, including Text to Speech conversion, 360° sound source localization, voice-controlled mapping navigation, etc. Integrated with vision robot arm, JetAuto Pro can implement voice-controlled gripping and transporting.
- 【Robot Control Across Platforms】JetAuto Pro 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.
Far-field Microphone Array Far-field Microphone
Array
WonderAi APP
Map Nav APP (Android Only)
Wireless Handle
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.
240° High-performance Pan-tilt
JetAuto Pro's high-precision pendulum suspension structure balances the force exerted on all four wheels, enabling good adaptability to uneven surfaces.
DC Geared Motor
lt 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
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.
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| 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: | 324*260*605mm |
| 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: | PC remote control 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* 356*220mm |
| Package weight (advanced kit): | About 3600g |
| Item | Specification |
| Size | 324*260*605mm |
| Weight | 3500g |
| Material | Full-metal hard aluminum alloy bracket (anodized) |
| Camera resolution | 480P |
| DOF | 8DOF |
| 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 | PC remote control 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* 356*220mm |
| Package weight (advanced kit) | About 3600g |
Customer Reviews
This robot car runs very fast. You must give it enough room on the floor. Also the mecanum wheels seem best on hard floors or very low carpet secured to the floor. Deeper carpet or transitioning on\off rugs can cause the mecanum wheels to not drive straight or get hung up.
With the provided source code, i can create my own easily. I think i can learn much for JetAuto :)
Excellent tool to learn robots / robotics. I only used the robot for a few days so far but the robot itself is nice and looks sturdy. The manual gives a lot of detailed explanations and goes really from scratch (e.g. "What's an operating system" ?) to advanced features (e.g. training and deploying a vision model for your applications). For that price, I fully recommend it.
The hardware and software seem reasonably robust but the documentation is scattered (200+ PDF files!) and sometimes contradictory. Also, useful information is missing, such as an explanation of the directory structure on the robot and a catalog of ROS nodes and the messages they generate/accept.
As a newbie don't follow the instructions in order. Ignore everything about installing a virtual machine and instead use NoMachine as described in "7. Motion Control Lesson / 1. Basic Control Lesson / Lesson 1 Build Development Environment". This gives you a remote graphical connection to the robot with a file browser, text editor, and command line. Note that when used for code development (no motion) the robot's battery lasts about 2.5 hours.
I am fluent in Visual C++ on Windows but Linux, Python, and ROS are all new to me. I found it best to start in the middle by examining the code connecting the gamepad to the robot. This is covered in "7. Motion Control Lesson / 1. Basic Control Lesson / Lesson 9 Handle Control". On the robot try editing the function "axes_callback" in file "/home/jetauto/jetauto_ws/src/jetauto_peripherals/scripts/joystick_control.py" to alter the operation of the joysticks (e.g. connect 'lx' to rotation instead). This will expose you to a lot of Python and ROS, but be aware that there is much extraneous (disabled) functionality in this file.
Its a very interesting robot. Any option to program this robot in embedded C/Python or Matlab as per user requirment.
What is the IDE and specified controller used here
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