Towards a digital lifecycle passport for the circular economy C Plociennik, M Pourjafarian, A Nazeri, W Windholz, S Knetsch, J Rickert, ... Procedia Cirp 105, 122-127, 2022 | 75 | 2022 |
An extensible edge computing architecture: Definition, requirements and enablers V Gezer, J Um, M Ruskowski Proceedings of the UBICOMM, 2017 | 45 | 2017 |
Intelligent manual working station through assistive systems P Bertram, M Birtel, F Quint, M Ruskowski IFAC-PapersOnLine 51 (11), 170-175, 2018 | 35 | 2018 |
Requirements for a human-centered condition monitoring in modular production environments M Birtel, F Mohr, J Hermann, P Bertram, M Ruskowski IFAC-PapersOnLine 51 (11), 909-914, 2018 | 29 | 2018 |
An introduction to edge computing and a real-time capable server architecture V Gezer, J Um, M Ruskowski Int. J. Adv. Intell. Syst.(IARIA) 11 (7), 105-114, 2018 | 29 | 2018 |
Machine tool with active magnetic guides B Denkena, F Kallage, M Ruskowski, K Popp, HK Tönshoff CIRP Annals 53 (1), 333-336, 2004 | 29 | 2004 |
Modular augmented reality platform for smart operator in production environment J Um, J Popper, M Ruskowski 2018 IEEE Industrial Cyber-Physical Systems (ICPS), 720-725, 2018 | 28 | 2018 |
Approach for dynamic price-based demand side management in cyber-physical production systems W Motsch, A David, K Sivalingam, A Wagner, M Ruskowski Procedia manufacturing 51, 1748-1754, 2020 | 26 | 2020 |
Requirements for a digital product passport to boost the circular economy C Plociennik, M Pourjafarian, S Saleh, T Hagedorn, ... Gesellschaft für Informatik, Bonn, 2022 | 25 | 2022 |
Self-description of cyber-physical production modules for a product-driven manufacturing system J Hermann, P Rübel, M Birtel, F Mohr, A Wagner, M Ruskowski Procedia manufacturing 38, 291-298, 2019 | 25 | 2019 |
Aufbau und Regelung aktiver Magnetführungen M Ruskowski Hannover: Universität, 2004 | 21 | 2004 |
Flatness based control of an industrial robot joint using secondary encoders J Weigand, N Gafur, M Ruskowski Robotics and Computer-Integrated Manufacturing 68, 102039, 2021 | 19 | 2021 |
Simultaneous production and agv scheduling using multi-agent deep reinforcement learning J Popper, V Yfantis, M Ruskowski Procedia Cirp 104, 1523-1528, 2021 | 19 | 2021 |
Production bots für production level 4: skill-basierte systeme für die produktion der zukunft M Ruskowski, A Herget, J Hermann, W Motsch, P Pahlevannejad, ... atp magazin 62 (9), 62-71, 2020 | 17 | 2020 |
FutureFit: a strategy for getting a production asset to an industry 4.0 component–a human-centered approach M Birtel, A David, J Hermann, F Mohr, M Ruskowski Procedia Manufacturing 38, 1000-1007, 2019 | 17 | 2019 |
Sa-opc-ua: Introducing semantics to opc-ua application methods B Katti, C Plociennik, M Ruskowski, M Schweitzer 2018 IEEE 14th International Conference on Automation Science and …, 2018 | 17 | 2018 |
Nonlinear Modeling of a Magnetically Guided Machine Tool Axis M Ruskowski, K Popp Proc. 7th International Symposium on Magnetic Bearings ISMB-7, Zurich, 2000, 2000 | 16 | 2000 |
Enabling a multi-agent system for resilient production flow in modular production systems S Komesker, W Motsch, J Popper, A Sidorenko, A Wagner, M Ruskowski Procedia CIRP 107, 991-998, 2022 | 15 | 2022 |
Utilizing multi-agent deep reinforcement learning for flexible job shop scheduling under sustainable viewpoints J Popper, W Motsch, A David, T Petzsche, M Ruskowski 2021 International Conference on Electrical, Computer, Communications and …, 2021 | 15 | 2021 |
Electrical energy consumption interface in modular skill-based production systems with the asset administration shell W Motsch, A Sidorenko, A David, P Rübel, A Wagner, M Ruskowski Procedia Manufacturing 55, 535-542, 2021 | 15 | 2021 |