Jakob Thumm - RankMe

20 papers A* 5A 1C 1Misc 1Journal 11

Year	Rank	Type	Title / 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