WSAL20876 – JETANK AI Kit/en

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 JETANK AI Kit is an AI-controlled tracked mobile robot based on the NVIDIA Jetson Nano Developer Kit. It includes an expansion board with motor and servo drive circuits, power supply circuitry, an OLED display, and battery protection.

Related products at JW Tech

WSAL20876 – JETANK AI Kit B, AI Tracked Mobile Robot, AI Vision Robot, Based On Jetson Nano, comes with Waveshare Jetson Nano Dev Kit
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Technical overview

The expansion board supports three 18650 batteries (not included) and provides up to 12.6V output for stronger motor power.
Integrated lithium battery protection circuit (S-8254AA + AO4407A) protects against overcharge, over-discharge, over-current, and short-circuit.
APW8286 voltage regulator supplies a stable 5V to the Jetson Nano; the SY8286 regulator drives the steering gear at up to 5A.
The TB6612FNG dual H-bridge motor driver controls the left and right motors.
A 0.91-inch OLED display (128×32) shows IP address, memory, power, etc., in real time.
An INA219 acquisition chip enables real-time monitoring of battery voltage and charging current.
The robot features a four-degree-of-freedom mechanical arm controlled via a 3D coordinate system and operated by a wireless gamepad.
Software compatible with the NVIDIA JetBot project; supports intelligent obstacle avoidance, autonomous line patrol, motion detection, and color recognition tracking.

Commands and examples – verify before use:

sudo nmcli device wifi connect <SSID> password <PASSWORD>
git clone https://github.com/waveshare/JETANK.git
cd JETANK
chmod +x install.py
chmod +x config.py
./install.sh
./config.sh

Notes and version constraints

Batteries are not included; three 18650 cells are required (recommended: Sanyo or Panasonic).
The 12V power adapter must NOT be connected directly to the Jetson Nano developer board – it is only for charging the batteries.
On first installation or after disassembly, connect the supplied power supply for a few seconds to activate the protection circuit before normal use.
Default username and password for the JetBot image are both 'jetbot'.
To access via web browser, the PC must be on the same network as the JETANK.
If the TF card is not recognized on Windows: use Disk Management, delete the volume, reformat, then reflash the new image.

Source and revision record

JETANK AI Kit - Waveshare Wiki
Source revision: 104364
Captured: 2026-09-02T04:23:33+00:00
SHA-256: e45c535d32217975c533d45aa29ba42784c7c48911fad41c14d2f696b480884f