Jakob Thumm

20 papers A* 5A 1C 1Misc 1Journal 11
YearRankTypeTitle / Venue / Authors
2025 — —
Establishing Safe and Preference-Aligned Human-Robot Collaboration in Autonomous Manipulation.
Jakob Thumm
2025 J jnl
From Demonstrations to Safe Deployment: Path-Consistent Safety Filtering for Diffusion Policies.
CoRR
Ralf Römer, Julian Balletshofer, Jakob Thumm, Marco Pavone, Angela P. Schoellig, Matthias Althoff
2025 A* conf
Multi-Objective Causal Bayesian Optimization.
ICML
Shriya Bhatija, Paul-David Joshua Zuercher, Jakob Thumm, Thomas Bohné
2025 J jnl
Multi-Objective Causal Bayesian Optimization.
CoRR
Shriya Bhatija, Paul-David Zürcher, Jakob Thumm, Thomas Bohné
2024 J jnl
A General Safety Framework for Autonomous Manipulation in Human Environments.
CoRR
Jakob Thumm, Julian Balletshofer, Leonardo Maglanoc, Luis Muschal, Matthias Althoff
2024 A* conf
Excluding the Irrelevant: Focusing Reinforcement Learning through Continuous Action Masking.
NeurIPS
Roland Stolz, Hanna Krasowski, Jakob Thumm, Michael Eichelbeck, Philipp Gassert, Matthias Althoff
2024 J jnl
Excluding the Irrelevant: Focusing Reinforcement Learning through Continuous Action Masking.
CoRR
Roland Stolz, Hanna Krasowski, Jakob Thumm, Michael Eichelbeck, Philipp Gassert, Matthias Althoff
2024 A* conf
Human-Robot Gym: Benchmarking Reinforcement Learning in Human-Robot Collaboration.
ICRA
Jakob Thumm, Felix Trost, Matthias Althoff
2024 Misc conf
Text2Interaction: Establishing Safe and Preferable Human-Robot Interaction.
CoRL
Jakob Thumm, Christopher Agia, Marco Pavone, Matthias Althoff
2024 J jnl
Text2Interaction: Establishing Safe and Preferable Human-Robot Interaction.
CoRR
Jakob Thumm, Christopher Agia, Marco Pavone, Matthias Althoff
2023 C conf
Approximate First-Passage Time Distributions for Gaussian Motion and Transportation Models.
FUSION
Marcel Reith-Braun, Florian Pfaff, Jakob Thumm, Uwe D. Hanebeck
2023 J jnl
Human-Robot Gym: Benchmarking Reinforcement Learning in Human-Robot Collaboration.
CoRR
Jakob Thumm, Felix Trost, Matthias Althoff
2023 J jnl
Provably Safe Reinforcement Learning: Conceptual Analysis, Survey, and Benchmarking.
Trans. Mach. Learn. Res.
Hanna Krasowski, Jakob Thumm, Marlon Müller, Lukas Schäfer, Xiao Wang, Matthias Althoff
2023 A conf
Reducing Safety Interventions in Provably Safe Reinforcement Learning.
IROS
Jakob Thumm, Guillaume Pelat, Matthias Althoff
2023 J jnl
Reducing Safety Interventions in Provably Safe Reinforcement Learning.
CoRR
Jakob Thumm, Guillaume Pelat, Matthias Althoff
2022 J jnl
Mixture of Experts of Neural Networks and Kalman Filters for Optical Belt Sorting.
IEEE Trans. Ind. Informatics
Jakob Thumm, Marcel Reith-Braun, Florian Pfaff, Uwe D. Hanebeck, Merle Flitter, Georg Maier, Robin Gruna, Thomas Längle, Albert Bauer, Harald Kruggel-Emden
2022 A* conf
Provably Safe Deep Reinforcement Learning for Robotic Manipulation in Human Environments.
ICRA
Jakob Thumm, Matthias Althoff
2022 J jnl
Provably Safe Deep Reinforcement Learning for Robotic Manipulation in Human Environments.
CoRR
Jakob Thumm, Matthias Althoff
2022 J jnl
Provably Safe Reinforcement Learning: A Theoretical and Experimental Comparison.
CoRR
Hanna Krasowski, Jakob Thumm, Marlon Müller, Xiao Wang, Matthias Althoff
2022 A* conf
SaRA: A Tool for Safe Human-Robot Coexistence and Collaboration through Reachability Analysis.
ICRA
Sven R. Schepp, Jakob Thumm, Stefan B. Liu, Matthias Althoff