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

RAT Chair Prof. Dr. Erdal Kayacan delivered a plenary talk at the 7th Turkish Robotics Conference, hosted by Koç University. His talk focused on the latest innovations and research outcomes from the SPEAR and SHEREC projects.

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Our Research on Age-of-Information in Distributed Systems has just been published with Springer Nature in [Statistics & Computing]. Read here: https://rdcu.be/fh9si

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Excited to share our paper “Palette Inpainting Diffusion Curriculum Reinforcement Learning (PIDCRL)”, accepted at WCCI 2026! Curriculum Reinforcement Learning (CRL) helps agents learn faster by structuring tasks from easy → hard. We introduce PIDCRL — a diffusion-based CRL framework that converts trajectory heatmaps into candidate goals via a pretrained image-to-image diffusion model. To select meaningful goals, we employ several strategies,…

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