Lasse Peters
lasse-peters.net
I am a final-year PhD candidate at the Department of Cognitive Robotics (CoR) at Delft University of Technology working with Prof. Javier Alonso-Mora and Prof. Laura Ferranti. My research focuses on efficient algorithms for multi-agent interaction. Specifically, I am interested in exploiting the game-theoretic structure of multi-agent interaction to learn safe and efficient interaction policies from limited data. Therefore, my research lies at the intersection of numerical optimization, game theory, and machine learning. I ground my work in real-world applications, such as autonomous driving, mobile robotics, and drone racing.
Before coming to Delft, I worked as a full-time research scholar at the Photogrammetry & Robotics Lab at University of Bonn under the supervision of Prof. Cyrill Stachniss. There, I developed methods for solving inverse games in continuous state-action spaces.
I received a M.Sc Mechatronics and a B.Sc. in Mechanical Engineering from TU Hamburg, Germany, in 2020 and 2017, respectively. During that time, I was a member of the university’s RoboCup SPL team and later a visiting student and research scholar at UC Berkeley where I worked with Prof. Claire J. Tomlin and Prof. Zachary N. Sunberg at the Hybrid Systems Laboratory.
For coordinating meetings, this calendar shows times when I will be busy.
Email: lasse.peters@mailbox.org
Matrix: @lassepe:matrix.org
GitHub: github.com/lassepe
PGP: 8A1F6554BF8772E9
Aug, 2025. Our work on contingency games has been selected as a best paper finalist for the TC on Robot Control Best Paper AwardsPermalink.
Aug, 2025. Our paper “Approximate solutions to games of ordered preference” has been accepted to the IEEE International Conference on Intelligent Transportation Systems (ITSC).
Jun, 2025. Our paper “You Can’t Always Get What You Want: Games of Ordered Preference” has been accepted for publication in the IEEE Robotics and Automation Letters (RA-L).