Wel­come to the Auto­mat­ic Con­trol Group

Our primary interest is the design, analysis, simulation, and implementation of data-driven control and navigation algorithms for autonomous systems, such as ground or aerial robots.

On our web pages, you will find information about us, our research, and our teaching activities.
You can also find opportunities for open positions, open thesis topics, and open master group projects.

Ac­counce­ments/News

Are you working at the intersection of Generative AI and Robotics? There are less than two weeks left to submit your latest research to our WCCI 2026 special session on Generative Foundation Models for Robotics. We are witnessing a paradigm shift where robots move beyond traditional control to understand high-level semantics and execute complex tasks via generative foundation models. We invite papers that push the boundaries of this field,…

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Since September 2025, Erdi Sayar has joined the RAT Group. With his experience in Reinforcement Learning and Generative AI, he will contribute to the group’s research and teaching activities over the next 3 years. We are pleased to welcome him to the team.

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We are excited to share our latest IEEE RA-L paper, “VDS-Nav: Volumetric Depth-Based Safe Navigation for Aerial Robots–Bridging the Sim-to-Real Gap” VDS-Nav: A novel navigation paradigm that enables aerial robots to safely navigate using linear velocities and yaw rates inferred directly from a sequence of depth images, eliminating the need for pre-trained latent space encoders.

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