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2026-09-05T22:34:45Z

Freigegebene technische Dokumentation veröffentlicht; Text-only und noindex

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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 AI Kit is an AI robot kit based on the Jetson Nano 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/WSAL16908 WSAL16908 – JetBot AI Kit B, AI Robot Based on Jetson Nano, comes with Waveshare Jetson Nano Dev Kit]
* [https://shop.jw-tech.eu/p/WSAL16909 WSAL16909 – JetBot AI Kit Accessories, Add-ons for Jetson Nano to Build JetBot]
* [https://shop.jw-tech.eu/p/WSAL24737 WSAL24737 – JetBot AI Kit B, AI Robot Based on Jetson Nano, comes with Waveshare Jetson Nano Dev Kit]
* [https://shop.jw-tech.eu/p/WSAL24738 WSAL24738 – JetBot AI Kit Accessories, Add-ons for Jetson Nano to Build JetBot]

== Technical overview ==
* Based on the Waveshare JETSON-NANO-DEV-KIT (B01) with the NVIDIA Jetson Nano module.
* Supports three 18650 batteries (not included), up to 12.6 V output for stronger motor power.
* Onboard S-8254AA + AO4407A lithium battery protection circuit guards against overcharge, over-discharge, over-current and short-circuit.
* APW7313 voltage regulator provides a stable 5 V supply to the Jetson Nano.
* TB6612FNG dual H-bridge driver powers the left and right drive motors.
* 0.91-inch OLED display (128×32) shows IP address, memory and power in real time.
* ADS1115 ADC enables real-time monitoring of battery voltage.
* At least a 64 GB SD card is required when flashing the image yourself; pre-flashed SD cards allow skipping step 1.

'''Commands and examples – verify before use:'''
<syntaxhighlight lang="text">
git clone http://github.com/NVIDIA-AI-IOT/jetbot.git
cd jetbot && ./scripts/configure_jetson.sh && ./scripts/enable_swap.sh
cd docker && ./enable.sh $HOME
sudo nmcli device wifi connect <wifi_name> password <wifi_password>
ssh 192.168.55.1
sudo nvpmodel -m0
nvpmodel -q
sudo systemctl set-default graphical.target
cd /usr/lib/nvidia/resizefs/ && sudo chmod 777 nvresizefs.sh && sudo ./nvresizefs.sh && sudo reboot
</syntaxhighlight>

== Notes and version constraints ==
* The source contains placeholders such as {{{name2}}} and {{{userDefinedInfo}}}; these values must be replaced with concrete product data before publishing.
* Step 5 references an external file (Jetbot-ws-script.zip); the download link may be invalid – please verify before publication.
* The container ID in 'sudo docker restart 198acf2fea98' is an example; the actual ID must be queried via 'sudo docker ps -a'.
* The 12V charger must not be connected directly to the Jetson Nano developer board.
* Motor drivers differ between Waveshare and NVIDIA; if NVIDIA codes were installed, remove the Jetbot folder and reinstall Waveshare's version.
* The Jetbot chassis is not powered through the ribbon cable; only the 12.6V power supply can power it.
* For TF card issues on Windows: delete the volume in Disk Management, create a new volume and format it, then re-flash the new image.

== Source and revision record ==
* [https://www.waveshare.com/wiki/JetBot_AI_Kit JetBot AI Kit - Waveshare Wiki]
* Source revision: 104316
* Captured: 2026-08-31T03:55:41+00:00
* SHA-256: <code>743e5e926bbfc7b7c0d057af090824ecdcb70e4d9d4eeaf9828bf452e689cbf2</code>

WSAL16908 – JetBot AI Kit/en - Versionsgeschichte

JWTechPublisher: Freigegebene technische Dokumentation veröffentlicht; Text-only und noindex