<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Path Planning |</title><link>https://relo02.github.io/tags/path-planning/</link><atom:link href="https://relo02.github.io/tags/path-planning/index.xml" rel="self" type="application/rss+xml"/><description>Path Planning</description><generator>Hugo Blox Builder (https://hugoblox.com)</generator><language>en-us</language><lastBuildDate>Mon, 03 Nov 2025 00:00:00 +0000</lastBuildDate><image><url>https://relo02.github.io/media/icon_hu_982c5d63a71b2961.png</url><title>Path Planning</title><link>https://relo02.github.io/tags/path-planning/</link></image><item><title>Drone trajectory planning</title><link>https://relo02.github.io/projects/drone-trajectory-planning/</link><pubDate>Mon, 03 Nov 2025 00:00:00 +0000</pubDate><guid>https://relo02.github.io/projects/drone-trajectory-planning/</guid><description>&lt;h2 id="problem"&gt;Problem&lt;/h2&gt;
&lt;p&gt;Autonomous navigation in GPS-denied or dynamic environments requires robust local path planning that can react to obstacles in real-time while optimizing trajectory efficiency.&lt;/p&gt;
&lt;h2 id="approach"&gt;Approach&lt;/h2&gt;
&lt;ul&gt;
&lt;li&gt;Implemented &lt;strong&gt;Model Predictive Control (MPC)&lt;/strong&gt; for local trajectory optimization&lt;/li&gt;
&lt;li&gt;Integrated with ROS 2 navigation stack with gazebo simulation and PX4 low levels controllers&lt;/li&gt;
&lt;li&gt;Tested on a Quadcopter&lt;/li&gt;
&lt;li&gt;Combined with SLAM&lt;/li&gt;
&lt;/ul&gt;
&lt;h2 id="technologies"&gt;Technologies&lt;/h2&gt;
&lt;ul&gt;
&lt;li&gt;&lt;strong&gt;Frameworks:&lt;/strong&gt; ROS 2, MPC library CasADi&lt;/li&gt;
&lt;li&gt;&lt;strong&gt;Sensors:&lt;/strong&gt; LiDAR, IMU&lt;/li&gt;
&lt;li&gt;&lt;strong&gt;Hardware:&lt;/strong&gt; Quadcopter with pixhawk flight controller and Jetson Orin Nano used for higher computations&lt;/li&gt;
&lt;/ul&gt;</description></item></channel></rss>