| Controlling fleets of autonomous mobile robots with reinforcement learning: a brief survey M Wesselhöft, J Hinckeldeyn, J Kreutzfeldt Robotics 11 (5), 85, 2022 | 14 | 2022 |
| Industrial indoor localization: Improvement of logistics processes using location based services N Hesslein, M Wesselhöft, J Hinckeldeyn, J Kreutzfeldt Advances in Automotive Production Technology–Theory and Application …, 2021 | 14 | 2021 |
| Towards Industry-Inspired Use-Cases for Path Finding in Robotic Mobile Fulfillment Systems B Hein, M Wesselhöft, A Kirchheim, J Hinckeldeyn 2022 IEEE 27th International Conference on Emerging Technologies and Factory …, 2022 | 5 | 2022 |
| Bewertung von Multi-Agent Path Finding Verfahren für deren Einsatz in robotisierten Logistiksystemen B Hein, M Wesselhoeft, M Azizpour, A Kirchheim, J Hinckeldeyn Logistics Journal: Proceedings 2022 (18), 2022 | 2 | 2022 |
| Comparing Continuous Single-Agent Reinforcement Learning Controls in a Simulated Logistic Environment using NVIDIA Omniverse M Wesselhöft, P Braun, J Kreutzfeldt Logistics Journal: Proceedings 2023 (1), 2023 | 1 | 2023 |
| Vergleich von kontinuierlichen Single-Agent Reinforcement Learning-Steuerungen in einer simulierten Logistikumgebung mit NVIDIA Omniverse M Wesselhöft, P Braun, J Kreutzfeldt Logistics Journal: reviewed, 2023 | | 2023 |
| Evaluation of Multi-Agent Path Finding Methods for their Application in Robotized Logistics Systems B Hein, M Wesselhöft, M Azizpour, A Kirchheim, J Hinckeldeyn Logistics journal 2022 (11), 2022 | | 2022 |
| Entwicklung von Intralogistikdiensten auf der Basis einer quelloffenen Referenzarchitektur für Lokalisierungssysteme N Mattschull, M Wesselhöft, A Wendt, J Hinckeldeyn, M Gomse, ... 29. Hamburger Logistik-Kolloquium, 2020 | | 2020 |
