Scholar
Lasse Peters
Google Scholar ID: _V0LUR8AAAAJ
PhD candidate, Delft University of Technology
Citations & Impact
Citations
571
H-index
10
i10-index
11
Publications
18
Co-authors
26
list available
Publications
Resume (English only)
Academic Achievements
- Publications: 'Approximate solutions to games of ordered preference' accepted to the IEEE International Conference on Intelligent Transportation Systems (ITSC); 'You Can’t Always Get What You Want: Games of Ordered Preference' accepted for publication in the IEEE Robotics and Automation Letters (RA-L); Projects such as 'Contingency Games for Multi-Agent Interaction'; Awards: 'Contingency Games' selected as a best paper finalist for the TC on Robot Control Best Paper Awards.
Research Experience
- Conducted research on efficient multi-agent interaction algorithms at Delft University of Technology; Previously a full-time research scholar at the Photogrammetry & Robotics Lab at the University of Bonn, supervised by Prof. Cyrill Stachniss, working on solving inverse games in continuous state-action spaces; Visiting student and research scholar at UC Berkeley, working with Prof. Claire J. Tomlin and Prof. Zachary N. Sunberg at the Hybrid Systems Laboratory.
Education
- PhD: Department of Cognitive Robotics (CoR) at Delft University of Technology, supervised by Prof. Javier Alonso-Mora and Prof. Laura Ferranti; M.Sc. Mechatronics from TU Hamburg, 2020; B.Sc. Mechanical Engineering from TU Hamburg, 2017.
Background
- Research interests: efficient algorithms for multi-agent interaction; Fields: numerical optimization, game theory, and machine learning; Summary: Focuses on exploiting the game-theoretic structure of multi-agent interaction to learn safe and efficient interaction policies from limited data, with applications in autonomous driving, mobile robotics, and drone racing.
Miscellany
- Personal interests: Member of the RoboCup SPL team at TU Hamburg.
