Infrastructure-Aided Localization and State Estimation for Autonomous Mobile Robots. - Daniel Flögel; Neel Pratik Bhatt; Ehsan Hashemi (Robotics, 2022)

ReACT: Reinforcement Learning for Controller Parametrization Using B-Spline Geometries. - Thomas Rudolf; Daniel Flögel; Tobias Schürmann; Simon Süß; Stefan Schwab; Sören Hohmann (SMC, 2023)

Socially Integrated Navigation: A Social Acting Robot with Deep Reinforcement Learning. - Daniel Flögel; Lars Fischer; Thomas Rudolf; Tobias Schürmann; Sören Hohmann (IROS, 2024)

Low-Power Vibration-Based Predictive Maintenance for Industry 4.0 using Neural Networks: A Survey. - Alexandru Vasilache; Sven Nitzsche; Daniel Flögel; Tobias Schürmann; Stefan von Dosky; Thomas Bierweiler; Marvin Mußler; Florian Kälber; Sören Hohmann; Jürgen Becker 001 (CoRR, 2024)

Disentangling Uncertainty for Safe Social Navigation using Deep Reinforcement Learning. - Daniel Flögel; Marcos Gómez Villafañe; Joshua Ransiek; Sören Hohmann (CoRR, 2024)

Disentangling Coordiante Frames for Task Specific Motion Retargeting in Teleoperation using Shared Control and VR Controllers. - Max Grobbel; Daniel Flögel; Philipp Rigoll; Sören Hohmann (CoRR, 2025)