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	<title>WSAL20561 – JetRacer Pro 2GB AI Kit/en - Versionsgeschichte</title>
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		<title>JWTechPublisher: Freigegebene technische Dokumentation veröffentlicht; Text-only und noindex</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 JetRacer Pro 2GB AI Kit is an AI racing robot kit based on the NVIDIA Jetson Nano 2GB Developer Kit, supporting deep learning, automatic line following, and autonomous driving. The Jetson Nano 2GB board and batteries are not included in the package.&lt;br /&gt;
&lt;br /&gt;
== Related products at JW Tech ==&lt;br /&gt;
* [https://shop.jw-tech.eu/p/WSAL20561 WSAL20561 – JetRacer Pro 2GB AI Kit, High Speed AI Racing Robot Powered by Jetson Nano 2GB (NOT included), Pro Version]&lt;br /&gt;
&lt;br /&gt;
== Technical overview ==&lt;br /&gt;
* The kit is based on the Jetson Nano 2GB Developer Kit; the board must be purchased separately.&lt;br /&gt;
* Batteries are not included due to shipping policy; four 18650 cells (3.7 V nominal, ~4.2 V when fully charged) are used.&lt;br /&gt;
* Software setup uses a pre-built JetRacer image (JetPack 4.5-based) written to a minimum 64 GB SD card via Etcher.&lt;br /&gt;
* WiFi configuration is done through JupyterLab at 192.168.55.1:8888 (default password: jetbot).&lt;br /&gt;
* After boot, the OLED displays the vehicle IP; connect via http://&amp;amp;lt;jetson_ip_address&amp;amp;gt;:8888 (login password: jetson).&lt;br /&gt;
* To limit power draw, set the Jetson Nano to 5W mode using: sudo nvpmodel -m1.&lt;br /&gt;
* Basic motion is controlled via car.steering (range &amp;amp;#91;-1,1&amp;amp;#93;) and car.throttle (range &amp;amp;#91;-1,1&amp;amp;#93;); car.steering_gain and car.steering_offset compensate for mechanical offsets.&lt;br /&gt;
* Teleoperation uses a gamepad receiver plugged into the PC (not the Jetson); axes&amp;amp;#91;0&amp;amp;#93; controls steering and axes&amp;amp;#91;5&amp;amp;#93; controls speed.&lt;br /&gt;
* For autonomous driving, collect data via teleoperation, then train with epochs=10 and evaluate the model.&lt;br /&gt;
&lt;br /&gt;
&amp;#039;&amp;#039;&amp;#039;Commands and examples – verify before use:&amp;#039;&amp;#039;&amp;#039; &lt;br /&gt;
&amp;lt;syntaxhighlight lang=&amp;quot;text&amp;quot;&amp;gt;&lt;br /&gt;
sudo nmcli device wifi list&lt;br /&gt;
sudo nmcli device wifi connect &amp;lt;ssid_name&amp;gt; password &amp;lt;password&amp;gt;&lt;br /&gt;
ifconfig&lt;br /&gt;
sudo nvpmodel -m1&lt;br /&gt;
sudo nvpmodel -q&lt;br /&gt;
sudo systemctl restart nvargus-daemon&lt;br /&gt;
&amp;lt;/syntaxhighlight&amp;gt;&lt;br /&gt;
&lt;br /&gt;
== Notes and version constraints ==&lt;br /&gt;
* The Jetson Nano 2GB board is NOT included – purchase it separately.&lt;br /&gt;
* Batteries are not included; use unprotected 18650 cells without a protective plate.&lt;br /&gt;
* Due to the ESC, reversing requires a double-click of the accelerator stick to prevent accidental reverse during braking.&lt;br /&gt;
* If &amp;#039;AttributeError: module torch has no attribute reciprocal_&amp;#039; occurs, manually install torch-1.2.0 and reboot the system.&lt;br /&gt;
* Steering offset values (e.g., 0.18) must be adjusted according to the actual mechanical assembly until the car drives straight.&lt;br /&gt;
* The 8.4V power adapter is only for charging batteries – do NOT connect it directly to the Jetson Nano board.&lt;br /&gt;
&lt;br /&gt;
== Source and revision record ==&lt;br /&gt;
* [https://www.waveshare.com/wiki/JetRacer_Pro_2GB_AI_Kit JetRacer Pro 2GB AI Kit - Waveshare Wiki]&lt;br /&gt;
* Source revision: 76655&lt;br /&gt;
* Captured: 2026-09-02T04:01:26+00:00&lt;br /&gt;
* SHA-256: &amp;lt;code&amp;gt;72da711332ab96536cc3c2023190764b0f97600d39ee09eb45c1449e03f4ddc4&amp;lt;/code&amp;gt;&lt;/div&gt;</summary>
		<author><name>JWTechPublisher</name></author>
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