<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Robot Manipulation |</title><link>https://omerkurkutlu.github.io/tags/robot-manipulation/</link><atom:link href="https://omerkurkutlu.github.io/tags/robot-manipulation/index.xml" rel="self" type="application/rss+xml"/><description>Robot Manipulation</description><generator>HugoBlox Kit (https://hugoblox.com)</generator><language>en-us</language><lastBuildDate>Thu, 02 Jul 2026 00:00:00 +0000</lastBuildDate><image><url>https://omerkurkutlu.github.io/media/icon_hu_eee4a95885829ab2.png</url><title>Robot Manipulation</title><link>https://omerkurkutlu.github.io/tags/robot-manipulation/</link></image><item><title>Autonomous Tunnel Burrowing Robot</title><link>https://omerkurkutlu.github.io/projects/tunnel-robot/</link><pubDate>Thu, 02 Jul 2026 00:00:00 +0000</pubDate><guid>https://omerkurkutlu.github.io/projects/tunnel-robot/</guid><description>&lt;h2 id="overview"&gt;Overview&lt;/h2&gt;
&lt;p&gt;The Autonomous Tunnel Burrowing Robot is an intelligent robotic excavation platform designed to autonomously construct underground tunnels based on user-defined dimensions. The system combines a mobile robot, a gantry-mounted robotic arm, environmental perception, and autonomous planning to perform excavation tasks in challenging environments.&lt;/p&gt;
&lt;p&gt;This project was developed during my research at the University of Notre Dame under the supervision of &lt;strong&gt;Dr. Yasemin Ozkan Aydin&lt;/strong&gt;.&lt;/p&gt;
&lt;h2 id="motivation"&gt;Motivation&lt;/h2&gt;
&lt;p&gt;Underground construction is often dangerous, labor-intensive, and difficult to automate. This project explores how autonomous robotics can improve safety, precision, and efficiency in tunnel excavation by integrating perception, manipulation, and autonomous decision-making.&lt;/p&gt;
&lt;h2 id="key-features"&gt;Key Features&lt;/h2&gt;
&lt;ul&gt;
&lt;li&gt;Autonomous tunnel excavation&lt;/li&gt;
&lt;li&gt;Mobile robotic platform&lt;/li&gt;
&lt;li&gt;Gantry-mounted robotic manipulator&lt;/li&gt;
&lt;li&gt;User-defined tunnel generation&lt;/li&gt;
&lt;li&gt;ROS and Gazebo simulation&lt;/li&gt;
&lt;li&gt;Sim-to-real deployment&lt;/li&gt;
&lt;li&gt;Soil interaction analysis&lt;/li&gt;
&lt;li&gt;Autonomous task execution&lt;/li&gt;
&lt;/ul&gt;
&lt;h2 id="hardware"&gt;Hardware&lt;/h2&gt;
&lt;ul&gt;
&lt;li&gt;Custom mobile robot&lt;/li&gt;
&lt;li&gt;Gantry robotic arm&lt;/li&gt;
&lt;li&gt;Intel RealSense Depth Camera&lt;/li&gt;
&lt;li&gt;Torque sensor&lt;/li&gt;
&lt;li&gt;Custom excavation end-effectors&lt;/li&gt;
&lt;/ul&gt;
&lt;h2 id="software"&gt;Software&lt;/h2&gt;
&lt;ul&gt;
&lt;li&gt;ROS&lt;/li&gt;
&lt;li&gt;Gazebo&lt;/li&gt;
&lt;li&gt;Python&lt;/li&gt;
&lt;li&gt;C++&lt;/li&gt;
&lt;li&gt;OpenCV&lt;/li&gt;
&lt;li&gt;Point Cloud Processing&lt;/li&gt;
&lt;li&gt;Robot Manipulation&lt;/li&gt;
&lt;/ul&gt;
&lt;h2 id="research-contributions"&gt;Research Contributions&lt;/h2&gt;
&lt;p&gt;This project investigates:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;Autonomous excavation planning&lt;/li&gt;
&lt;li&gt;Robot manipulation for construction tasks&lt;/li&gt;
&lt;li&gt;Perception using depth cameras&lt;/li&gt;
&lt;li&gt;Soil interaction analysis&lt;/li&gt;
&lt;li&gt;Sim-to-real robotic deployment&lt;/li&gt;
&lt;li&gt;Autonomous navigation during excavation&lt;/li&gt;
&lt;/ul&gt;
&lt;h2 id="experimental-evaluation"&gt;Experimental Evaluation&lt;/h2&gt;
&lt;p&gt;The system was evaluated using multiple excavation scenarios with different soil conditions and interchangeable digging tools. Both simulation and real-world experiments demonstrated reliable autonomous excavation and tunnel generation.&lt;/p&gt;
&lt;h2 id="future-work"&gt;Future Work&lt;/h2&gt;
&lt;p&gt;Future research directions include:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;Learning-based excavation strategies&lt;/li&gt;
&lt;li&gt;Vision-language robot control&lt;/li&gt;
&lt;li&gt;Multi-robot cooperative excavation&lt;/li&gt;
&lt;li&gt;Foundation models for autonomous construction robotics&lt;/li&gt;
&lt;/ul&gt;
&lt;h2 id="project-status"&gt;Project Status&lt;/h2&gt;
&lt;p&gt;&lt;strong&gt;Status:&lt;/strong&gt; ✅ Completed Research Project&lt;/p&gt;</description></item></channel></rss>