Startpage
The Chair of Automatic Control (Lehrstuhl für Regelungstechnik) at FAU is part of the Department Electrical Engineering (EEI) of the Faculty of Engineering.
Our research activities focus on the analysis, modeling, control, and optimization of dynamical systems with applications ranging from mechatronics and robotics to process control and energy related applications. We have a long-time experience with bringing research into practice and maintain close and successful cooperations with industrial partners. We are responsible for the education in control engineering within the bachelor and master programs at FAU and therefore also cross the bridge towards the other departments of the Faculty of Engineering.
At this year’s Long Night of Sciences on October 25, the Chair of Automatic Control presented current research from the fields of robotics, autonomous systems, and optimization.
Visitors could explore how control engineering shapes modern technology through several interactive exhibits – from a b...
Lars Ullrich attended the 2025 IEEE Intelligent Transportation Systems Society (ITSS) Region 8 Chapter Meeting in Nicosia, Cyprus, where he received the Best Poster Award for Researchers and Practitioners. The award recognized his contribution on a framework for trustworthy AI use in high-risk appli...
The project autotech.agil (Architektur und Technologien zur Orchestrierung automobiltechnischer Agilität), the follow-up project to UNICARagil, has successfully concluded. Since its start in October 2022 within the funding guideline „Elektronik und Softwareentwicklungsmethoden für die Digitalisierun...
Philipp Santer attended the 9th IEEE Conference on Control Technology and Applications (CCTA) 2025, held from August 25 to August 27 in San Diego, California. There, he presented his paper titled “A Model Predictive Control Approach to Trajectory Tracking with Human-Robot Collision Avoidance”, which...
We are pleased to welcome Dr.-Ing. Germano Schafaschek, who joined our team in June. Germano’s work addresses modeling and control of discrete-event systems based on supervisory control theory as well as on tropical-algebraic methods.
