About Me

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.

Contact

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

• Feb, 2025. New preprint available on ArXiv: “Generalizing Safety Beyond Collision-Avoidance via Latent-Space Reachability Analysis”.

• Feb, 2025. Our paper “Updating Robot Safety Representations Online from Natural Language Feedback” got accepted to ICRA 2025!

• Sep, 2024. New preprint “Updating Robot Safety Representations Online from Natural Language Feedback” available on arXiv.