<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom" xmlns:content="http://purl.org/rss/1.0/modules/content/" xmlns:dc="http://purl.org/dc/elements/1.1/"><channel><title>Dschubba on Kamaro Engineering e. V.</title><link>https://kamaro-engineering.de/roboter/dschubba/</link><description>Dschubba | Kamaro Engineering e. V.</description><generator>Hugo v0.152.2 | gohugo.io | Kamaro Engineering e.V.</generator><docs>https://www.rssboard.org/rss-specification</docs><language>de-DE</language><copyright>Kamaro Engineering e. V.</copyright><lastBuildDate>Thu, 25 Dec 2025 23:06:12 +0100</lastBuildDate><atom:link href="https://kamaro-engineering.de/roboter/dschubba/index.xml" rel="self" type="application/rss+xml"/><item><title>Field Robot Event 2019</title><link>https://kamaro-engineering.de/blogposts/2019-08-09-field-robot-event-2019/</link><description>&lt;p&gt;Kamaro participated in the 2019 Field Robot Event and 
 &lt;a href="https://www.fieldrobot.com/event/index.php/2019/06/20/the-overall-winner-of-the-event-is-helios-evo/"
 
 target="_blank" rel="noreferrer noopener"
 
 &gt;came out in fourth place&lt;/a&gt; in the overall ranking, as well as second in the third task (weed detection). This year&amp;rsquo;s robot was the newly constructed model Dschubba, which utilizes 
 &lt;a href="https://github.com/NiklasFauth/hoverboard-firmware-hack"
 
 target="_blank" rel="noreferrer noopener"
 
 &gt;hoverboard wheels&lt;/a&gt; and uses a differential steering. Below is a video of our freestyle task, demonstrating deep-learning based selective fertilizing on a mixed-culture field.&lt;/p&gt;</description><content:encoded>&lt;p&gt;Kamaro participated in the 2019 Field Robot Event and
&lt;a href="https://www.fieldrobot.com/event/index.php/2019/06/20/the-overall-winner-of-the-event-is-helios-evo/"
target="_blank" rel="noreferrer noopener"
&gt;came out in fourth place&lt;/a&gt; in the overall ranking, as well as second in the third task (weed detection). This year&amp;rsquo;s robot was the newly constructed model Dschubba, which utilizes
&lt;a href="https://github.com/NiklasFauth/hoverboard-firmware-hack"
target="_blank" rel="noreferrer noopener"
&gt;hoverboard wheels&lt;/a&gt; and uses a differential steering. Below is a video of our freestyle task, demonstrating deep-learning based selective fertilizing on a mixed-culture field.&lt;/p&gt;
&lt;figure class="figure-video"&gt;
&lt;div class="embed video-player"&gt;
&lt;iframe class="youtube-player" type="text/html" width="640" height="385" src="https://www.youtube.com/embed/3D5REE8ste0" allowfullscreen frameborder="0"&gt;
&lt;/iframe&gt;
&lt;/div&gt;&lt;figcaption&gt;&lt;p&gt;Kamaro Field Robot Event 2019 Freestyle Task&lt;/p&gt;&lt;/figcaption&gt;&lt;/figure&gt;</content:encoded><pubDate>Fri, 09 Aug 2019 15:53:11 +0000</pubDate><guid>https://kamaro-engineering.de/blogposts/2019-08-09-field-robot-event-2019/</guid><dc:creator>Johannes Barthel</dc:creator><image><url>https://kamaro-engineering.de/blogposts/2019-08-09-field-robot-event-2019/images/title_hu_ed0eac9fd6dcfd02.jpg</url><title>Feature Image</title><link>https://kamaro-engineering.de/blogposts/2019-08-09-field-robot-event-2019/</link></image><category domain="https://kamaro-engineering.de/roboter/dschubba/">Dschubba</category><category domain="https://kamaro-engineering.de/teams/organisation/">Organisation</category><category domain="https://kamaro-engineering.de/teams/mechanik/">Mechanik</category><category domain="https://kamaro-engineering.de/teams/elektrotechnik/">Elektrotechnik</category><category domain="https://kamaro-engineering.de/teams/informatik/">Informatik</category></item></channel></rss>