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2020 – today
- 2024
[i4]Thomas Rudolf, Daniel Flögel, Tobias Schürmann, Simon Süß, Stefan Schwab, Sören Hohmann:
ReACT: Reinforcement Learning for Controller Parametrization using B-Spline Geometries. CoRR abs/2401.05251 (2024)- [i3]Daniel Flögel, Lars Fischer, Thomas Rudolf, Tobias Schürmann, Sören Hohmann:
Socially Integrated Navigation: A Social Acting Robot with Deep Reinforcement Learning. CoRR abs/2403.09793 (2024) - [i2]Alexandru Vasilache, Sven Nitzsche, Daniel Flögel, Tobias Schürmann, Stefan von Dosky, Thomas Bierweiler, Marvin Mußler, Florian Kälber, Sören Hohmann, Jürgen Becker:
Low-Power Vibration-Based Predictive Maintenance for Industry 4.0 using Neural Networks: A Survey. CoRR abs/2408.00516 (2024) - [i1]Daniel Flögel, Marcos Gómez Villafañe, Joshua Ransiek, Sören Hohmann:
Disentangling Uncertainty for Safe Social Navigation using Deep Reinforcement Learning. CoRR abs/2409.10655 (2024) - 2023
- [c1]Thomas Rudolf, Daniel Flögel, Tobias Schürmann, Simon Süß, Stefan Schwab, Sören Hohmann:
ReACT: Reinforcement Learning for Controller Parametrization Using B-Spline Geometries. SMC 2023: 3385-3391 - 2022
- [j1]Daniel Flögel
, Neel Pratik Bhatt, Ehsan Hashemi:
Infrastructure-Aided Localization and State Estimation for Autonomous Mobile Robots. Robotics 11(4): 82 (2022)
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