Curriculum Vitae

Since October 2022, I have been a Ph.D. candidate at the Chair of Robotics, Artificial Intelligence and Real-Time Systems at the Technical University of Munich (TUM), under the supervision of Prof. Alois Knoll. My research focuses on sampling-based asymptotically optimal motion planning for heterogeneous high-DOF robot manipulation in constrained configuration spaces.

Previously, I received my Master’s degree in Mechanical Automation Technology from the Technical University of Clausthal, Germany in 2022, and my Bachelor’s degree in Mechanical Engineering from Rhine-Waal University of Applied Sciences, Germany in 2020. I have also worked as a researcher and project associate in several nationally and EU-funded robotics projects, including  KI.FABRIK.

My work explores planning and control strategies for multi-modal robotic systems, with a particular focus on real-time performance and geometric reasoning. I have published in leading robotics conferences and journals such as ICRA, IROS, RA-L, Biomimetic Intelligence and Robotics.

If you are interested in working on robotics-related research topics or thesis projects, feel free to reach out to me via email with your background and interests.

Community Services

Reviewer:

• IEEE International Conference on Robotics and Automation (ICRA),
• IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS),
• IEEE Robotics and Automation Letters (RA-L),
• IEEE Transactions on Automation Science and Engineering (T-ASE),
• IEEE Transactions on Neural Networks and Learning Systems (TNNLS),
• Biomimetic Intelligence and Robotics.

Chair: 

• 2024 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Teaser Session of Robot Motion Planning IV, ADNEC in Abu Dhabi, UAE.

Open Thesis

• Topic 1: Path Planning Algorithms via Open Motion Planning Library (OMPL)
• Topic 2: DARKO - Mobile Robot Manipulator Simulation and Trajectory Planning
• Topic 3: Visualization of the mobile robot manipulator for the DARKO project

On-going Theses

Currently, we have a small group of bachelor/master students working on several topics in LLM-based risk map semantic segmentations, task and motion planning, multi-robot manipulation, and sampling-based algorithms. Some of the theses have successfully been published in peer-reviewed conferences and journals

Demos