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	<title>WSAL22791 – JetBot ROS AI Kit/en - Versionsgeschichte</title>
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		<summary type="html">&lt;p&gt;Freigegebene technische Dokumentation veröffentlicht; Text-only und noindex&lt;/p&gt;
&lt;p&gt;&lt;b&gt;Neue Seite&lt;/b&gt;&lt;/p&gt;&lt;div&gt;__NOINDEX__&lt;br /&gt;
&amp;#039;&amp;#039;&amp;#039;Documentation notice:&amp;#039;&amp;#039;&amp;#039; 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.&lt;br /&gt;
&lt;br /&gt;
== Summary ==&lt;br /&gt;
The JetBot ROS AI Kit is an AI robot based on the NVIDIA Jetson Nano Dev Kit, compatible with the open-source NVIDIA JetBot project. It combines a Raspberry Pi RP2040 as real-time microcontroller and the Jetson Nano as AI host, supporting SLAM mapping, vision processing, and voice interaction.&lt;br /&gt;
&lt;br /&gt;
== Related products at JW Tech ==&lt;br /&gt;
* [https://shop.jw-tech.eu/p/WSAL22791 WSAL22791 – JetBot Professional Version ROS AI Kit B, Dual Controllers AI Robot, Lidar Mapping, Vision Processing, comes with Waveshare Jetson Nano Dev Kit.]&lt;br /&gt;
* [https://shop.jw-tech.eu/p/WSAL22792 WSAL22792 – JetBot Professional Version ROS AI Kit Accessories, Dual Controllers AI Robot, Lidar Mapping, Vision Processing]&lt;br /&gt;
* [https://shop.jw-tech.eu/p/WSAL26807 WSAL26807 – JetBot Professional Version ROS AI Kit B, Dual Controllers AI Robot, Lidar Mapping, Vision Processing, comes with Waveshare Jetson Nano Dev Kit.]&lt;br /&gt;
* [https://shop.jw-tech.eu/p/WSAL26808 WSAL26808 – JetBot Professional Version ROS AI Kit B, Dual Controllers AI Robot, Lidar Mapping, Vision Processing, comes with Waveshare Jetson Nano Dev Kit.]&lt;br /&gt;
* [https://shop.jw-tech.eu/p/WSAL26809 WSAL26809 – JetBot Professional Version ROS AI Kit Accessories, Dual Controllers AI Robot, Lidar Mapping, Vision Processing]&lt;br /&gt;
* [https://shop.jw-tech.eu/p/WSAL26810 WSAL26810 – JetBot Professional Version ROS AI Kit Accessories, Dual Controllers AI Robot, Lidar Mapping, Vision Processing]&lt;br /&gt;
&lt;br /&gt;
== Technical overview ==&lt;br /&gt;
* Two control levels: The microcontroller (Raspberry Pi RP2040) handles real-time control; the Jetson Nano serves as the AI host for deep learning.&lt;br /&gt;
* The expansion battery pack consists of three 18650 cells (3 × 2600 mAh), delivering up to 12.6 V output.&lt;br /&gt;
* An onboard S-8254AA + AO4407A protection circuit guards against overcharge, over-discharge, overcurrent, and short circuits.&lt;br /&gt;
* The INA219 current/voltage monitor enables real-time monitoring of battery voltage and charging current.&lt;br /&gt;
* A 0.91-inch OLED display (128 × 32) shows real-time data such as IP address, memory, and battery status.&lt;br /&gt;
* The MPU9250 IMU sensor provides posture data for accurate direction determination.&lt;br /&gt;
* Coded DC gear motors support PID control and output wheel odometry data.&lt;br /&gt;
* Via I2C slave mode, the system is fully compatible with the open-source NVIDIA JetBot program without porting effort.&lt;br /&gt;
&lt;br /&gt;
== Notes and version constraints ==&lt;br /&gt;
* Before assembly, set the power switch to &amp;quot;OFF&amp;quot; and disconnect the power supply to avoid short circuits or device damage.&lt;br /&gt;
* When installing, mount the Jetson Nano first, then install the battery; when disassembling, remove the battery first, then remove the Jetson Nano.&lt;br /&gt;
* Tighten only half-turns on the four studs holding the Jetson Nano until pogo pins make proper contact; overtightening can cause poor pin contact.&lt;br /&gt;
* On first battery connection, no power may be output initially; charge for a few seconds to activate the protection chip before normal use.&lt;br /&gt;
* Do not continue using a battery whose positive insulating pad is damaged, as it may cause a short circuit or fire.&lt;br /&gt;
* Do not mix old and new lithium batteries, or use unreliable chargers.&lt;br /&gt;
* Replace lithium batteries once their cycle life expires or after two years of use, whichever comes first.&lt;br /&gt;
* If IMU calibration fails (LED does not flash), press RESET or re-flash the firmware demo.&lt;br /&gt;
* Excessive audio volume under insufficient current causes stuttering; lower the volume to an appropriate level.&lt;br /&gt;
* If the TF card is not recognized on Windows after flashing the Jetson Nano image, delete the existing volume via Disk Management and create a new formatted volume.&lt;br /&gt;
&lt;br /&gt;
== Source and revision record ==&lt;br /&gt;
* [https://www.waveshare.com/wiki/JetBot_ROS_AI_Kit JetBot ROS AI Kit - Waveshare Wiki]&lt;br /&gt;
* Source revision: 109267&lt;br /&gt;
* Captured: 2026-09-03T04:25:17+00:00&lt;br /&gt;
* SHA-256: &amp;lt;code&amp;gt;9ee5280262ca86bbcb55f35ddcefa364326c8ff723a175730966d15cf8f571bb&amp;lt;/code&amp;gt;&lt;/div&gt;</summary>
		<author><name>JWTechPublisher</name></author>
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