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WSAL16908 – JetBot AI Kit/en

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Version vom 6. September 2026, 00:34 Uhr von JWTechPublisher (Diskussion | Beiträge) (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

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:  

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

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

  • JetBot AI Kit - Waveshare Wiki
  • Source revision: 104316
  • Captured: 2026-08-31T03:55:41+00:00
  • SHA-256: 743e5e926bbfc7b7c0d057af090824ecdcb70e4d9d4eeaf9828bf452e689cbf2
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