Zum Inhalt springen

WSAL18985 – JetBot 2GB AI Kit/en

Aus JW Tech Wiki

Documentation notice: This technical documentation was independently rewritten from an archived supplier source. Check technical details and commands against the product version and manufacturer documentation before use.

Summary

The JetBot 2GB AI Kit is an AI robot based on the Jetson Nano 2GB Developer Kit. It supports facial recognition, object tracking, automatic line following and collision avoidance.

Related products at JW Tech

Technical overview

  • Based on the NVIDIA Jetson Nano 2GB Developer Kit (optional).
  • Supports three 18650 batteries (not included), with a total capacity of up to 7800 mAh and a maximum output voltage of 12.6 V.
  • Onboard S-8254AA + AO4407A lithium battery protection circuit with overcharge, over-discharge, overcurrent and short-circuit protection.
  • Onboard APW7313 voltage regulator provides a stable 5 V supply to the Jetson Nano.
  • Onboard TB6612FNG dual H-bridge motor driver chip drives the left and right motors.
  • Onboard 0.91-inch OLED display (128×32) shows real-time IP address, memory and power information.
  • Onboard ina219 chip enables real-time monitoring of battery power and charging current.

Commands and examples – verify before use:  

sudo nmcli device wifi connect <SSID> password <PASSWORD>
git clone -b jetbot_0.4.2 https://github.com/waveshare/jetbot.git
cd jetbot && ./scripts/configure_jetson.sh
cd docker && ./enable.sh $HOME
sudo systemctl set-default graphical.target

Notes and version constraints

  • The software build is largely based on the official NVIDIA JetBot wiki; differences between Waveshare and NVIDIA versions can affect motor driving.
  • The image must be written to an SD card of at least 64 GB.
  • Before assembly, it is recommended to test the Jetson Nano Developer Kit standalone.
  • Teleoperation requires a USB gamepad connection and axis configuration (Xbox mode recommended).
  • Collision avoidance requires a classified image dataset for 'free' and 'blocked' scenarios.
  • If the SD card is not recognized in Windows: use Disk Management, delete the volume, reformat, then rewrite the image.
  • The 12 V adapter is only for charging the batteries and must not be connected directly to the Jetson Nano board.
  • The JetBot can only be powered by the 12.6 V supply; the ribbon cable does not power it.

Source and revision record

Abgerufen von „https://wiki.jw-tech.eu/index.php?title=WSAL18985_–_JetBot_2GB_AI_Kit/en&oldid=1930“