Overview Research

The Autonomous Intelligent Systems group has two main research directions (more details will be added soon): First, one focus is on methods for adaptive motor control and (Deep) Reinforcement Learning, in particular, of locomotion in legged robots. Second, we work on predictive Machine Learning models –as are recurrent neural networks or, more recently, graph neural networks– that allow and facilitate planning ahead or anticipate actions of other agent as required for control of interactive and intelligent systems.

If you are interested in a Master or Bachelor thesis, just drop us a mail and get in contact.