<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Obstacle Avoidance | Mobile Robotics Research Group — Prof. Dr. Christian Pfitzner</title><link>https://christianpfitzner.github.io/forschungsgruppe-mobile-robotik/en/tag/obstacle-avoidance/</link><atom:link href="https://christianpfitzner.github.io/forschungsgruppe-mobile-robotik/en/tag/obstacle-avoidance/index.xml" rel="self" type="application/rss+xml"/><description>Obstacle Avoidance</description><generator>Hugo Blox Builder (https://hugoblox.com)</generator><language>en-us</language><lastBuildDate>Mon, 08 Jun 2026 00:00:00 +0000</lastBuildDate><image><url>https://christianpfitzner.github.io/forschungsgruppe-mobile-robotik/media/icon_hu11734318148517933569.png</url><title>Obstacle Avoidance</title><link>https://christianpfitzner.github.io/forschungsgruppe-mobile-robotik/en/tag/obstacle-avoidance/</link></image><item><title>Drone Swarm Obstacle Avoidance – Collision-Free Navigation of Micro-Drones</title><link>https://christianpfitzner.github.io/forschungsgruppe-mobile-robotik/en/publication/2026-drone-swarm-obstacle-avoidance/</link><pubDate>Mon, 08 Jun 2026 00:00:00 +0000</pubDate><guid>https://christianpfitzner.github.io/forschungsgruppe-mobile-robotik/en/publication/2026-drone-swarm-obstacle-avoidance/</guid><description>&lt;h2 id="work-packages">Work Packages&lt;/h2>
&lt;ul>
&lt;li>Integration and calibration of the external 3D camera&lt;/li>
&lt;li>Processing, filtering and transformation of point cloud data&lt;/li>
&lt;li>Development of a classification to distinguish between persons and drones&lt;/li>
&lt;li>Design and implementation of a reactive swarm behaviour with safety zones&lt;/li>
&lt;li>Test and evaluation in the flight space with real persons&lt;/li>
&lt;/ul>
&lt;h2 id="requirements">Requirements&lt;/h2>
&lt;ul>
&lt;li>Programming skills (Python and/or C++)&lt;/li>
&lt;li>Ideally some experience with ROS&lt;/li>
&lt;li>Interest in sensor integration, point cloud processing and perception methods&lt;/li>
&lt;/ul>
&lt;p>This topic can be completed as a &lt;strong>project or master&amp;rsquo;s thesis&lt;/strong> subject to agreement.&lt;/p>
&lt;h2 id="supervision">Supervision&lt;/h2>
&lt;table>
&lt;thead>
&lt;tr>
&lt;th style="text-align: left">Role&lt;/th>
&lt;th style="text-align: left">Name&lt;/th>
&lt;th style="text-align: left">E-Mail&lt;/th>
&lt;/tr>
&lt;/thead>
&lt;tbody>
&lt;tr>
&lt;td style="text-align: left">Supervisor&lt;/td>
&lt;td style="text-align: left">Prof. Dr. Christian Pfitzner&lt;/td>
&lt;td style="text-align: left">&lt;a href="mailto:christian.pfitzner@th-nuernberg.de">christian.pfitzner@th-nuernberg.de&lt;/a>&lt;/td>
&lt;/tr>
&lt;/tbody>
&lt;/table></description></item></channel></rss>