I am a Ph.D. student at the Intelligent Control Systems Group. My research interests lie at the intersection of control theory, machine learning, and non-linear dynamics. In particular, I am interested in understanding how structure inherent in physical systems and control tasks can be leveraged to improve learning algorithms and enable knowledge transfer.
I obtained a master's degree in Theoretical Mechanical Engineering at TU Hamburg. During my masters, I worked on the combination of neural networks and sliding control for end-to-end vehicle maneuvering under Professor J. Karl Hedrick at the University of California, Berkeley. Further, I developed localization and control methods for the 'HippoCampus' AUV project. My master's thesis dealt with the combination of stochastic optimal control and Gaussian processes for autonomous field exploration.
Our goal is to understand the principles of Perception, Action and Learning in autonomous systems that successfully interact with complex environments and to use this understanding to design future systems