Quelltext der Seite WSAL18985 – JetBot 2GB AI Kit/en

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'''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 ==
* [https://shop.jw-tech.eu/p/WSAL18985 WSAL18985 – JetBot 2GB AI Kit, AI Robot Based on Jetson Nano 2GB Developer Kit (optional)]
* [https://shop.jw-tech.eu/p/WSAL24730 WSAL24730 – JetBot 2GB AI Kit, AI Robot Based on Jetson Nano 2GB Developer Kit (optional)]

== 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:''' 
<syntaxhighlight lang="text">
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
</syntaxhighlight>

== 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 ==
* [https://www.waveshare.com/wiki/JetBot_2GB_AI_Kit JetBot 2GB AI Kit - Waveshare Wiki]
* Source revision: 72161
* Captured: 2026-09-01T03:48:36+00:00
* SHA-256: <code>29db03b24f130d381f532ed10e5a0b638fc99ca14c6c6a507194f110b2a9705d</code>