drawing Michael Lutter
Technical Manager & Research Scientist
at Boston Dynamics

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

Research Interests:
Learning Dynamics Models,
High-Speed Robot Control,
Reinforcement Learning,
Legged Locomotion
Robust Control


Bio: Michael Lutter is a technical manager and research scientist at Boston Dynamics. Within the Atlas team, his team works on applying reinforcement learning to dexterous manipulation with humanoid robots. Previously he worked on reactive quadruped locomotion over slippery terrain with Spot. He completed his Ph.D. supervised by Jan Peters at the Institute for Intelligent Autonomous Systems (IAS) TU Darmstadt in November 2021. 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 George Giralt Ph.D. Award (2022) for the best robotics Ph.D. thesis in Europe and the AI newcomer award (2019) of the German computer science foundation.

From 2016 to 2017, 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.


News