| Enabling value stream mapping for internal logistics using multidimensional process mining D Knoll, G Reinhart, M Prüglmeier Expert Systems with Applications 124, 130-142, 2019 | 142 | 2019 |
| Predicting future inbound logistics processes using machine learning D Knoll, M Prüglmeier, G Reinhart Procedia CIRP 52, 145-150, 2016 | 90 | 2016 |
| An automated packaging planning approach using machine learning D Knoll, D Neumeier, M Prüglmeier, G Reinhart Procedia Cirp 81, 576-581, 2019 | 33 | 2019 |
| Usage of autonomous mobile robots outdoors-an axiomatic design approach D Clauer, J Fottner, E Rauch, M Prüglmeier Procedia CIRP 96, 242-247, 2021 | 25 | 2021 |
| Application of open source deep neural networks for object detection in industrial environments C Poss, O Ibragimov, A Indreswaran, N Gutsche, T Irrenhauser, ... 2018 17th IEEE International Conference on Machine Learning and Applications …, 2018 | 12 | 2018 |
| Perceptionbased intelligent materialhandling in industrial logistics environments C Poss, T Irrenhauser, M Prueglmeier, D Goehring, F Zoghlami, V Salehi Proceedings of the 2019 11th International Conference on Computer and …, 2019 | 7 | 2019 |
| Material flow analysis using transport orders D Knoll, M Prüglmeier, G Reinhart WT Werkstattstechnik 107, 129-133, 2017 | 6 | 2017 |
| Robust framework for intelligent gripping point detection C Poss, OB Mlouka, T Irrenhauser, M Prueglmeier, D Goehring, ... IECON 2019-45th Annual Conference of the IEEE Industrial Electronics Society …, 2019 | 5 | 2019 |
| Enabling robot selective trained deep neural networks for object detection through intelligent infrastructure C Poss, T Irrenhauser, M Prueglmeier, D Goehring, F Zoghlami, V Salehi, ... Proceedings of the 2019 4th International Conference on Automation, Control …, 2019 | 5 | 2019 |
| Enabling Robust and Autonomous Materialhandling in Logistics Through Applied Deep Learning Algorithms C Poss, T Irrenhauser, M Prueglmeier, D Goehring, V Salehi, F Zoghlami Deep Learning Applications, 155-176, 2020 | 3 | 2020 |
| Driverless transport vehicle and method for moving a semi-trailer using a driverless transport vehicle D Clauer, E Josef, T Irrenhauser, M Prüglmeier, F Wittich US Patent 12,172,714, 2024 | 2 | 2024 |
| Driverless transport vehicle and method for moving a semi-trailer using a driverless transport vehicle D Clauer, M Prüglmeier, T Irrenhauser, E Josef, F Wittich US Patent 12,162,544, 2024 | 2 | 2024 |
| Driverless transport vehicle and method for coupling a driverless transport vehicle to a semi-trailer D Clauer, M Prüglmeier, T Irrenhauser, E Josef, F Wittich US Patent 12,084,130, 2024 | 2 | 2024 |
| INNOVATIONS IN LOGISTICS: LOGISTICS GOES HIGH TECH A Pinker, M Prüglmeier HUSS-VERLAG-GMBH, 2021 | 2 | 2021 |
| Innovationen in der Logistik A Pinker, M Prüglmeier Huss, 2021 | 1 | 2021 |
| Detecting the movement of a rail vehicle D Clauer, T Irrenhauser, M Prueglmeier, P Wuddi US Patent 12,128,939, 2024 | | 2024 |
| Innovationen in der Logistik M Prüglmeier, A Pinker | | 2021 |
| Innovations in logistics M Prueglmeier, A Pinker | | 2021 |
| Applied Deep Learning Algorithms C Poss, T Irrenhauser, M Prueglmeier, D Goehring, V Salehi, F Zoghlami Deep Learning Applications 1098, 155, 2020 | | 2020 |
| Logistyka zmierza w kierunku przemysłu zaawansowanych technologii M Prüglmeier Logistyka, 2019 | | 2019 |