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Jakob Thumm
Jakob Thumm
Doctoral Student of Informatics at Technical University of Munich (TUM)
Verified email at tum.de
Title
Cited by
Cited by
Year
Learning from the crowd: Road infrastructure monitoring system
J Masino, J Thumm, M Frey, F Gauterin
Journal of Traffic and Transportation Engineering (English Edition) 4 (5 …, 2017
422017
Provably Safe Deep Reinforcement Learning for Robotic Manipulation in Human Environments
J Thumm, M Althoff
2022 International Conference on Robotics and Automation (ICRA), 6344-6350, 2022
392022
Provably safe reinforcement learning: Conceptual analysis, survey, and benchmarking
H Krasowski, J Thumm, M Müller, L Schäfer, X Wang, M Althoff
Transactions on Machine Learning Research, 2023
32*2023
Sara: A tool for safe human-robot coexistence and collaboration through reachability analysis
SR Schepp, J Thumm, SB Liu, M Althoff
2022 International Conference on Robotics and Automation (ICRA), 4312-4317, 2022
162022
Characterization of road condition with data mining based on measured kinematic vehicle parameters
J Masino, J Thumm, G Levasseur, M Frey, F Gauterin, R Mikut, M Reischl
Journal of advanced transportation 2018 (1), 8647607, 2018
82018
Mixture of experts of neural networks and kalman filters for optical belt sorting
J Thumm, M Reith-Braun, F Pfaff, UD Hanebeck, M Flitter, G Maier, ...
IEEE Transactions on Industrial Informatics 18 (6), 3724-3733, 2021
72021
Multiple vehicle fusion for a robust road condition estimation based on vehicle sensors and data mining
J Hofmockel, J Masino, J Thumm, E Sax, F Gauterin
Cogent Engineering 5 (1), 1449428, 2018
72018
Parking events derived from trip data from MiD2008
J Huber, J Höffer, J Thumm, C Weinhardt
32019
Human-robot gym: Benchmarking reinforcement learning in human-robot collaboration
J Thumm, F Trost, M Althoff
2024 IEEE International Conference on Robotics and Automation (ICRA), 7405-7411, 2024
22024
Reducing Safety Interventions in Provably Safe Reinforcement Learning
J Thumm, G Pelat, M Althoff
2023 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2023
22023
A novel approach to label road defects in video data: semi-automated video analysis
J Thumm, J Masino, M Knoche, F Gauterin, M Reischl
International Journal on Smart Sensing and Intelligent Systems 13 (1), 1-9, 2020
22020
Text2Interaction: Establishing Safe and Preferable Human-Robot Interaction
J Thumm, C Agia, M Pavone, M Althoff
arXiv preprint arXiv:2408.06105, 2024
2024
Excluding the Irrelevant: Focusing Reinforcement Learning through Continuous Action Masking
R Stolz, H Krasowski, J Thumm, M Eichelbeck, P Gassert, M Althoff
arXiv preprint arXiv:2406.03704, 2024
2024
Characterization of Road Condition with Data Mining Based on Measured Kinematic Vehicle Parameters
GL Levasseur, JM Masino, MR Reischl, FG Gauterin, RM Mikut, ...
2018
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