Publications

Preprints

  1. Coordinated Diffusion: Generating Multi-Agent Behavior Without Multi-Agent Demonstrations Lasse Peters, Laura Ferranti†, Andrea Bajcsy†, Javier Alonso-Mora† arXiv preprint arXiv:2605.11485, 2026 Hardware · Franka
  2. Breaking Exponential Complexity in Games of Ordered Preference: A Tractable Reformulation Dong Ho Lee, Jingqi Li, Lasse Peters, Georgios Bakirtzis, David Fridovich-Keil arXiv preprint arXiv:2603.26950, 2026
  3. Bayesian Inverse Games with High-Dimensional Multi-Modal Observations Yash Jain*, Xinjie Liu*, Lasse Peters*, David Fridovich-Keil, Ufuk Topcu arXiv preprint arXiv:2601.00696, 2026

Journal

  1. Homotopy-Guided Potential Games for Congestion-Aware Navigation Mohammed Irshadh Ismaaeel Sathyamangalam Imran, Lasse Peters*, Michael Khayyat*, Stefano Arrigoni, Francesco Braghin, Laura Ferranti IEEE Robotics and Automation Letters (RA-L), 2026 Hardware · Clearpath Jackal
  2. Strategizing at Speed: A Learned Model Predictive Game for Multi-Agent Drone Racing Andrei-Carlo Papuc, Lasse Peters, Sihao Sun, Laura Ferranti, Javier Alonso-Mora IEEE Robotics and Automation Letters (RA-L), 2026 Hardware · Agilicious quadrotor
  3. You Can't Always Get What You Want: Games of Ordered Preference Dong Ho Lee, Lasse Peters, David Fridovich-Keil IEEE Robotics and Automation Letters (RA-L), 2025
  4. Contingency Games for Multi-Agent Interaction Lasse Peters, Andrea Bajcsy, Chih-Yuan Chiu, David Fridovich-Keil, Forrest Laine, Laura Ferranti, Javier Alonso-Mora IEEE Robotics and Automation Letters (RA-L), 2024 · Best Paper Finalist, IEEE RAS TC on Robot Control
  5. Online and Offline Learning of Player Objectives from Partial Observations in Dynamic Games Lasse Peters, Vicenç Rubies-Royo, Claire J. Tomlin, Laura Ferranti, Javier Alonso-Mora, Cyrill Stachniss, David Fridovich-Keil International Journal of Robotics Research (IJRR), 2023
  6. Learning to Play Trajectory Games Against Opponents with Unknown Objectives Xinjie Liu*, Lasse Peters*, Javier Alonso-Mora IEEE Robotics and Automation Letters (RA-L), 2023 Hardware · Clearpath Jackal

Conference

  1. Controllability in Preference-Conditioned Multi-Objective Reinforcement Learning Pau de las Heras Molins, Beyazit Yalcinkaya, Lasse Peters, David Fridovich-Keil, Georgios Bakirtzis International Conference on Neuro-symbolic Systems (NeuS), 2026
  2. Approximate Solutions to Games of Ordered Preference Pau de las Heras Molins*, Eric Roy-Almonacid*, Dong Ho Lee, Lasse Peters, David Fridovich-Keil, Georgios Bakirtzis IEEE International Conference on Intelligent Transportation Systems (ITSC), 2025
  3. Generalizing Safety Beyond Collision-Avoidance via Latent-Space Reachability Analysis Kensuke Nakamura, Lasse Peters, Andrea Bajcsy Robotics: Science and Systems (RSS), 2025 Hardware · Franka
  4. Updating Robot Safety Representations Online from Natural Language Feedback Leonardo Santos*, Zirui Li*, Lasse Peters, Somil Bansal†, Andrea Bajcsy† IEEE International Conference on Robotics and Automation (ICRA), 2025 Hardware · LoCoBot
  5. Auto-Encoding Bayesian Inverse Games Xinjie Liu*, Lasse Peters*, Javier Alonso-Mora, Ufuk Topcu, David Fridovich-Keil International Workshop on the Algorithmic Foundations of Robotics (WAFR), 2024
  6. Scenario-Game ADMM: A Parallelized Scenario-Based Solver for Stochastic Noncooperative Games Jingqi Li, Chih-Yuan Chiu, Lasse Peters, Fernando Palafox*, Mustafa Karabag*, Javier Alonso-Mora, Somayeh Sojoudi, Claire Tomlin, David Fridovich-Keil IEEE Conference on Decision and Control (CDC), 2023
  7. Cost Inference for Feedback Dynamic Games from Noisy Partial State Observations and Incomplete Trajectories Jingqi Li, Chih-Yuan Chiu, Lasse Peters, Somayeh Sojoudi, Claire Tomlin, David Fridovich-Keil International Conference on Autonomous Agents and Multiagent Systems (AAMAS), 2023
  8. Learning Mixed Strategies in Trajectory Games Lasse Peters, David Fridovich-Keil, Laura Ferranti, Cyrill Stachniss, Javier Alonso-Mora, Forrest Laine Robotics: Science and Systems (RSS), 2022
  9. Inferring Objectives in Continuous Dynamic Games from Noise-Corrupted Partial State Observations Lasse Peters, David Fridovich-Keil, Vicenç Rubies-Royo, Claire J. Tomlin, Cyrill Stachniss Robotics: Science and Systems (RSS), 2021
  10. Inference-Based Strategy Alignment for General-Sum Differential Games Lasse Peters, David Fridovich-Keil, Claire J. Tomlin, Zachary N. Sunberg International Conference on Autonomous Agents and Multiagent Systems (AAMAS), 2020
  11. Efficient Iterative Linear-Quadratic Approximations for Nonlinear Multi-Player General-Sum Differential Games David Fridovich-Keil, Ellis Ratner, Lasse Peters, Anca D. Dragan, Claire J. Tomlin IEEE International Conference on Robotics and Automation (ICRA), 2020
  12. iLQGames.jl: Rapidly Designing and Solving Differential Games in Julia Lasse Peters, Zachary N. Sunberg International Workshop on Engineering Multi-Agent Systems (EMAS) at AAMAS, 2020
  13. Designing Convolutional Neural Networks Using a Genetic Approach for Ball Detection G. C. Felbinger, P. Göttsch, P. Loth, Lasse Peters, F. Wege RoboCup Symposium, 2017

Theses & Other

  1. Game-Theoretic Motion Planning for Multi-Agent Interaction Lasse Peters PhD dissertation, Delft University of Technology, 2026
  2. Accommodating Intention Uncertainty in General-Sum Games for Human-Robot Interaction Lasse Peters Master's thesis, Hamburg University of Technology, 2020

* Equal contribution† Equal advising