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Viability of Future Actions: Robust Safety in Reinforcement Learning via Entropy Regularization2025 Lecture notes in computer science conference-paper Computer Science Reinforcement Learning in Robotics Open access
Pierre-François Massiani, Alexander von Rohr, Lukas Haverbeck, Sebastian Trimpe
0citations -
Characterization and quantification of multi-field coupling in lithium-ion batteries under mechanical constraints2024 Journal of Energy Chemistry article Engineering Advanced Battery Technologies Research Open access
Xue Cai, Caiping Zhang, Zeping Chen, Linjing Zhang, Dirk Uwe Sauer, Weihan Li
40citations -
Supplementary dataset for paper: "Approximate non-linear model predictive control with safety-augmented neural networks"2023 Zenodo (CERN European Organization for Nuclear Research) supplementary-materials Engineering Advanced Control Systems Optimization Open access
Henrik Hose, Johannes Köhler, Melanie N. Zeilinger, Sebastian Trimpe
0citations -
Supplementary dataset for paper: "Approximate non-linear model predictive control with safety-augmented neural networks"2023 Zenodo (CERN European Organization for Nuclear Research) supplementary-materials Engineering Advanced Control Systems Optimization Open access
Henrik Hose, Johannes Köhler, Melanie N. Zeilinger, Sebastian Trimpe
0citations -
Safety Procedure Using Path Planning Methods for Tilt-Wing Unmanned Aerial Vehicles2023 International Conference on Unmanned Aircraft Systems (ICUAS) conference-paper Computer Science Robotic Path Planning Algorithms
Eva König, Sebastian Seitz, Nicolai Voget, Lennart Danielmeier, Dieter Moormann
1citations -
Performance and safety assessment of an integrated transmit array for body imaging at 7 T under consideration of specific absorption rate, tissue temperature, and thermal dose
Thomas M. Fiedler, Stephan Orzada, Martina Flöser, Stefan H. G. Rietsch, Simon Schmidt, Jonathan Stelter, +4 more
15citations -
GoSafe: Globally Optimal Safe Robot Learning2021 Proceedings - IEEE International Conference on Robotics and Automation/Proceedings conference-paper Computer Science Reinforcement Learning in Robotics Open access cited by 1 patent
Dominik Baumann, Alonso Marco, Matteo Turchetta, Sebastian Trimpe
19citations -
Methodology for Real-World Automated Function Development: From Virtual to On-Vehicle Implementation2025 SAE technical papers on CD-ROM/SAE technical paper series conference-paper Computer Science Reinforcement Learning in Robotics
Kevin Badalian, Mario Picerno, Sung-Yong Lee, Joschka Schaub, Jakob Andert
1citations -
Learning-enhanced robust controller synthesis with rigorous statistical and control-theoretic guarantees10citations