Research

Our research activities focus on the control, estimation and learning for autonomous systems with applications spanning from robotics, mechatronics, to life sciences. The developments are based on a solid theoretical foundation in the field of system and control theory for decision making under uncertainty. The developed methods and theory are aimed to be applicable to practical relevant problems. To achieve this, the method oriented developments run in parallel to projects that are pursued in collaboration with industrial partners.