Scheduling individualized products with reinforcement learning to reduce worker stress
L. Vogel, L. Vollenkemper, A. Müller, M. Kohlhase, in: S.-H. Sheu (Ed.), Preface: 2025 The 12th International Conference on Industrial Engineering and Applications (Europe), AIP Publishing, 2025.

Demystifying Reinforcement Learning in Production Scheduling via Explainable AI
D. Fischer, H.M. Hüsener, F. Grumbach, L. Vollenkemper, A. Müller, P. Reusch, ArXiv (2024).

Robust Human-Centered Assembly Line Scheduling with Reinforcement Learning
F. Grumbach, A. Müller, L. Vollenkemper, in: M. Freitag, A. Kinra, H. Kotzab, N. Megow (Eds.), Dynamics in Logistics. Proceedings of the 9th International Conference LDIC 2024, Bremen, Germany, Springer Nature Switzerland, Cham, 2024, pp. 223–234.

Humanzentrierte Ablaufplanung von Montagelinien/Human-centered scheduling in assembly lines - Plug and play: Efficient algorithms minimize stress in flow shops
L. Vollenkemper, F. Grumbach, M. Kohlhase, P. Reusch, Wt Werkstattstechnik Online 113 (2023) 158–163.

HUMANZENTRIERTE PRODUKTIONSPLANUNG MIT KI - Entwicklung eines Assistenzsystems
L. Vollenkemper, M. Mönikes, F. Wortmann, M. Rudolph-Puls, M. Kohlhase, A. Röchter, C. Ewering, Arbeitswelt.Plus Working Paper (2023).

Spatial Temporal Transformer Networks for Sparse Motion Capture Applications
L. Vollenkemper, M. Kohlhase, in: H. Schulte, F. Hoffman, R. Mikut, Karlsruhier Institut für Technologie (KIT) (Eds.), PROCEEDINGS 32. WORKSHOP COMPUTATIONAL INTELLIGENCE, KIT Scientific Publishing, Karlsruhe, 2022.

Using Artificial Intelligence for Assistance Systems to Bring Motor Learning Principles into Real World Motor Tasks
K. Vandevoorde, L. Vollenkemper, C. Schwan, M. Kohlhase, W. Schenck, Sensors 22 (2022).