Michael Lutter: Inductive Biases for Learning Robot Control


Michael Lutter is a Ph.D. student at the TU Darmstadt Institute for Intelligent Autonomous Systems (IAS). His research focuses on combining domain knowledge and deep learning to enable learning of complex robot controllers that are feasible for the physical system. Prior to this Michael held a researcher position at the Technical University of Munich (TUM). At TUM, he worked for the Human Brain Project and taught various lectures within the Elite Master Program Neuroengineering. His educational background covers a Bachelors in Engineering Management from University of Duisburg Essen and a Masters in Electrical Engineering from the Technical University of Munich. During his undergraduate studies he also spent one semester at the Massachusetts Institute of Technology (MIT) studying electrical engineering and computer science. Besides his studies, Michael worked with ThyssenKrupp, Siemens, ABB, General Electric and NVIDIA and received multiple scholarships for academic excellence.