Advisor(s):
Sebastian Trimpe
Physical intelligent agents act that want act in the world need to control their bodies autonomously while learning new behaviors and adapt new goals or react to changes in their environment. I am interested in understanding how an agent can explore it's capacity to act in a safe and robust manner. I am currently working on controllers for systems with complex dynamics and I am especially interested in learning interpretable models and robust controllers, combining machine learning methods with optimal control theory.
As part of the Intelligent Control Systems Group at the Max Planck Institute for Intelligent Systems I am currently doing my Ph.D. under the supervision of Dr. Sebastian Trimpe and in close collaboration with the IAV GmbH.
Before joining the Intelligent Control Systems group for my master thesis in 2018 I studied Computer Science at the University of Lübeck and obtained my Bachelor's degree in Electrical Engineering at the Beuth University of Applied Sciences Berlin in 2013.
ics
pf
Rohr, A. V., Trimpe, S., Marco, A., Fischer, P., Palagi, S.
Gait learning for soft microrobots controlled by light fields
In International Conference on Intelligent Robots and Systems (IROS) 2018, pages: 6199-6206, International Conference on Intelligent Robots and Systems 2018, October 2018 (inproceedings)