Jakob Thumm

Most-cited papers

Provably Safe Reinforcement Learning: Conceptual Analysis, Survey, and Benchmarking
Hanna Krasowski, Jakob Thumm, Marlon Müller, Lukas Schäfer +2 more
2022Trans. Mach. Learn. Res.58 citations
Semantic Scholar
Provably Safe Deep Reinforcement Learning for Robotic Manipulation in Human Environments
Jakob Thumm, M. Althoff
2022IEEE International Conference on Robotics and Automation52 citations Open access
Semantic Scholar
Excluding the Irrelevant: Focusing Reinforcement Learning through Continuous Action Masking
Roland Stolz, Hanna Krasowski, Jakob Thumm, Michael Eichelbeck +2 more
2024Neural Information Processing Systems37 citations
Semantic Scholar
Learning from the crowd: Road infrastructure monitoring system
J. Masino, Jakob Thumm, Michael Frey, F. Gauterin
201730 citations Open access
Semantic Scholar
SaRA: A Tool for Safe Human-Robot Coexistence and Collaboration through Reachability Analysis
Sven R. Schepp, Jakob Thumm, Stefan B. Liu, M. Althoff
2022IEEE International Conference on Robotics and Automation29 citations Open access
Semantic Scholar
Human-Robot Gym: Benchmarking Reinforcement Learning in Human-Robot Collaboration
Jakob Thumm, Felix Trost, Matthias Althoff
2023IEEE International Conference on Robotics and Automation17 citations Open access
Semantic Scholar
Mixture of Experts of Neural Networks and Kalman Filters for Optical Belt Sorting
Jakob Thumm, Marcel Reith-Braun, F. Pfaff, U. Hanebeck +6 more
2022IEEE Transactions on Industrial Informatics12 citations Open access
Semantic Scholar
Provably Safe Reinforcement Learning: A Theoretical and Experimental Comparison
Hanna Krasowski, Jakob Thumm, Marlon Müller, Xiao Wang +1 more
2022arXiv.org11 citations Open access
Semantic Scholar
Characterization of Road Condition with Data Mining Based on Measured Kinematic Vehicle Parameters
J. Masino, Jakob Thumm, Guillaume Levasseur, Michael Frey +3 more
2018Journal of Advanced Transportation11 citations Open access
Semantic Scholar
From Demonstrations to Safe Deployment: Path-Consistent Safety Filtering for Diffusion Policies
Ralf Römer, Julian Balletshofer, Jakob Thumm, M. Pavone +2 more
2025IEEE International Conference on Robotics and Automation9 citations Open access
Semantic Scholar
Text2Interaction: Establishing Safe and Preferable Human-Robot Interaction
Jakob Thumm, Christopher Agia, Marco Pavone, Matthias Althoff
2024Conference on Robot Learning8 citations
Semantic Scholar
A General Safety Framework for Autonomous Manipulation in Human Environments
Jakob Thumm, Julian Balletshofer, Leonardo Maglanoc, Luis Muschal +1 more
2024IEEE Transactions on robotics6 citations Open access
Semantic Scholar
Reducing Safety Interventions in Provably Safe Reinforcement Learning
Jakob Thumm, Guillaume Pelat, M. Althoff
2023IEEE/RJS International Conference on Intelligent RObots and Systems6 citations Open access
Semantic Scholar
Multi-Objective Causal Bayesian Optimization
Shriya Bhatija, P. Zuercher, Jakob Thumm, Thomas Bohné
2025International Conference on Machine Learning4 citations
Semantic Scholar
Multiple vehicle fusion for a robust road condition estimation based on vehicle sensors and data mining
J. Hofmockel, J. Masino, Jakob Thumm, E. Sax +1 more
20184 citations Open access
Semantic Scholar
A novel approach to label road defects in video data: semi-automated video analysis
Jakob Thumm, J. Masino, Martin Knoche, F. Gauterin +1 more
2020International Journal on Smart Sensing and Intelligent Systems3 citations Open access
Semantic Scholar
Parking events derived from trip data from MiD2008
Julian Huber, Jan Höffer, Jakob Thumm, C. Weinhardt
20192 citations
Semantic Scholar
Vision-Based Safe Human-Robot Collaboration with Uncertainty Guarantees
Jakob Thumm, Marian Frei, Tianle Ni, Matthias Althoff +1 more
2026arXiv.org0 citations
Semantic Scholar