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 interests focus on combining methods from optimal control, game theory, and reinforcement learning to design control strategies for multi-agent systems under uncertainty.

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

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

• Aug, 2024. Our work on Auto-Encoding Bayesian Inverse Games has been accepted at WAFR 2024 and will be presented in Chicago in October.

• Dec, 2023. Our work on contingency games has been accepted at IEEE RA-L and will be presented at IROS 2024 in Abu Dhabi.