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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
382017
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
262022
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
262022
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
132022
Provably safe reinforcement learning: A theoretical and experimental comparison
H Krasowski, J Thumm, M Müller, L Schäfer, X Wang, M Althoff
arXiv preprint arXiv:2205.06750, 2022
82022
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, 2018
72018
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
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
52021
Parking events derived from trip data from MiD2008
J Huber, J Höffer, J Thumm, C Weinhardt
42019
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
32023
Human-Robot Gym: Benchmarking Reinforcement Learning in Human-Robot Collaboration
J Thumm, F Trost, M Althoff
arXiv preprint arXiv:2310.06208, 2023
12023
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
12020
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
2023
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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