I am a research associate and Ph.D. student at the Humanoid Robots Lab. My work focuses on creating robots that can navigate safely and effectively in environments with humans, using advanced techniques like deep reinforcement learning. For instance, I have worked on improving robot navigation in dynamic environments using attention-based mechanisms and lidar sensors. This involves distinguishing between static and dynamic obstacles in a robot's environment and making navigation decisions accordingly. Another key area of his research is in developing methods for learning personalized robot navigation based on user demonstrations in virtual or augmented reality, which aims to align robot navigation policies with user preferences.

I am currently offering thesis opportunities for motivated students within the research areas mentioned above. If you are interested in a Bachelor or Master thesis, feel free to get in touch with me.