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- JetAuto Pro ROS Robot Car with Vision Robotic Arm Powered by Jetson Nano Support SLAM Mapping/ Navigation/ Python JetAuto Pro ROS Robot Car with Vision Robotic Arm Powered by Jetson Nano Support SLAM Mapping/ Navigation/ Python





























JetAuto Pro ROS Robot Car with Vision Robotic Arm Powered by Jetson Nano Support SLAM Mapping/ Navigation/ Python
- Powered by NVIDIA Jetson Nano(included) and based on ROS
- FPV robotic arm for picking, sorting and transporting
- Depth camera and Lidar for mapping and navigation
- 7-inch touch screen to monitor and debug parameters
- Optional 6-microphone array for voice interaction
- Open-source, ample PDF materials and tutorials are provided
- Description
- Specifications
- Accessories


Diverse combination of the hardware makes JetAuto Pro an ideal platform where you can learn and verify robotic SLAM function, as well as get the solution to ROS development. Massive ROS learning materials and tutorials are provided to help you get started quickly!
Diverse combination of the hardware makes JetAuto Pro an ideal platform where you can learn and verify robotic SLAM function, as well as get the solution to ROS development. Massive ROS learning materials and tutorials are provided to help you get started quickly!































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Array Far-field Microphone
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Motorcade Interconnected
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Item | Specification |
Size | 324 * 260 * 605mm |
Weight | 3.5kg |
Material | Full-matal 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) | 387 * 356 * 210mm |
Package weight (advanced kit) | about 3.6kg |
Hall Encoder Geared Motor | Rated voltage: 12V Rated power consumption: 2.4W Motor type: permanent-magnet brush Stall current: 3A Stall torque: 15kgf.cm Rated current: 0.2A Rated torque: 10kgf.cm Reduction ratio: 1 : 90 Rotation speed (before reduction): 10000rpm Rotation speed (after reduction): 110± 10rpm Output shaft: D-type eccentric shaft of 6 mm diameter Encoder type: Hall encoder Interface: PH2.0 - 6P Power supply: 3.3 - 5V |
HD wide-angle camera on robotic arm | Pixel: 300,000 pixels Resolution: 480p (640*480) Connection method: USB driver-free Support: windows, Linux, Openwrt Field of view: 120° Frame rate: 30fps Focus method: adjust focus manually |
Lipo Battery | Voltage: 11.1V Capacity: 6000mAh Plug: DC 5.5 * 2.5 female/ SM-2P male |
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