Felix Frank

PhD Candidate

Felix has completed a master's degree in automation and control at the RWTH Aachen University. He has worked as a research student in the field of optimal control for vehicle combustion engines. Felix joined the AI research group in September 2017 to write his master's thesis. During his thesis he developed a software framework aimed at integrating high-level machine learning methods and low-level robotics controls. He is currently pursuing a PhD degree on topics related to stochastic optimal control in robotics.

Interests

  • optimal control theory
  • reinforcement learning
  • robotics
  • variable-stiffness actuation