drawing Michael Lutter

Contact: mail(at)mlutter.eu
Twitter: _mlutter

Research Interests:
Model-Based Reinforcement Learning,
Interpretable and Plausible Models,
High-Speed Robot Control,
Dexterous Manipulation,
Robust Control

Bio: Michael Lutter is a Ph.D. student with Jan Peters at the Institute for Intelligent Autonomous Systems (IAS) TU Darmstadt since July 2017. During his Ph.D., he researched inductive biases for robot learning. Michael also worked with ABB Corporate Research on a joint research project to evaluate the application of robot learning to industrial applications. He completed a research internship at DeepMind, NVIDIA Research and received multiple awards for his research including the AI newcomer award (2019) of the German computer science foundation and was NVIDIA graduate fellowship finalist (2019).

Prior to this Michael held a researcher position at the Technical University of Munich (TUM) for bio-inspired learning for robotics. During this time he worked for the Neurorobotics subproject of the Human Brain Project, a European H2020 FET flagship project. In addition, he taught the classes "Deep Learning for Autonomous Systems” and “Fundamentals of Computer Science for Neuroengineering” within the Elite Master Programm Neuroengineering and participated in teaching Think. Make. Start., a two-week prototyping course. 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 studying electrical engineering and computer science. In addition to his studies, Michael worked for ThyssenKrupp, Siemens and General Electric and received multiple scholarships for academic excellence.