Raphael Trumpp

Address  

Chair of Cyber-Physical Systems in Production Engineering
School of Engineering and Design, Technical University of Munich
MW2102a, Boltzmannstraße 15, 85748 Garching b. München

Phone  

+49 89 289 55183

Email  

raphael.trumpp@tum.de

Profile  

Main Research

  • Residual policy learning and deep reinforcement learning
  • Methods for neural network pruning
  • Sim2real gap for learning-based methods
  • Applications: Autonomous driving (CARLA) and racing (F1TENTH)

Links  

         

Publications

Journals

∘

Mirco Theile, Daniele Bernardini, Raphael Trumpp, Cristina Piazza, Marco Caccamo, Alberto L. Sangiovanni-Vincentelli,  "Learning to Generate All Feasible Actions",  in IEEE Access,  Mar 2024.

Conferences

∘

Raphael Trumpp, Ehsan Javanmardi, Jin Nakazato, Manabu Tsukada, Marco Caccamo,  "RaceMOP: Mapless online path planning for multi-agent autonomous racing using residual policy learning",  in IEEE/RSJ International Conference on Intelligent Robots and Systems 2024,  Abu Dhabi, UAE,  Oct 2024.

∘

Raphael Trumpp, Martin Büchner, Abhinav Valada, Marco Caccamo,  "Efficient Learning of Urban Driving Policies Using Bird's-Eye-View State Representations",  in IEEE International Conference on Intelligent Transportation Systems 2023,  Bilbao, Spain,  Sep 2023.

∘

Raphael Trumpp, Denis Hoornaert, Marco Caccamo,  "Residual Policy Learning for Vehicle Control of Autonomous Racing Cars",  in IEEE Intelligent Vehicles Symposium 2023,  Anchorage, USA,  Jun 2023.

∘

Raphael Trumpp, Harald Bayerlein, David Gesbert,  "Modeling Interactions of Autonomous Vehicles and Pedestrians with Deep Multi-Agent Reinforcement Learning for Collision Avoidance",  in IEEE Intelligent Vehicles Symposium 2022,  Aachen, Germany,  Jun 2022.

Preprints

∘

Benjamin David Evans, Raphael Trumpp, Marco Caccamo, Felix Jahncke, Johannes Betz, Hendrik Willem Jordaan, Herman Arnold Engelbrecht,  "Unifying f1tenth autonomous racing: Survey, methods and benchmarks",  in arXiv,  .