I am a third-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. There, I also wrote my master’s thesis on “Accommodating Intention Uncertainty in General-Sum Games for Human-Robot Interaction”.
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
Dec, 2023. Our work on contingency games has been accepted at IEEE RA-L and will be presented at IROS 2024 in Abu Dhabi.
Aug, 2023. New preprint on contingency games: a model for strategic interactions which allows a robot to consider the full distribution of other agents’ intents while anticipating intent certainty in the near future.
May, 2023. Our work “Online and Offline Learning of Player Objectives from Partial Observations in Dynamic Games” has been accepted for publication in the International Journal of Robotics Research (IJRR). [website]