Publikationen

Seite 4 von 9.

Simon Jungbluth; Jesko Hermann; William Motsch; Monireh Pourjafarian; Aleksandr Sidorenko; Magnus Volkmann; Kuno Zoltner; Christiane Plociennik; Martin Ruskowski
Dynamic Replanning using Multi-Agent Systems and Asset Administration Shells
In: 2022 IEEE 27th International Conference on Emerging Technologies and Factory Automation (ETFA). IEEE International Conference on Emerging …
Simon Jungbluth; Nigora Gafur; Jens Popper; Vassilios Yfantis; Martin Ruskowski
Reinforcement Learning-based Scheduling of a Job-Shop Process with Distributedly Controlled Robotic Manipulators for Transport Operations
In: IFAC-PapersOnLine, Vol. 55, No. 2, Pages 156-162, Elsevier, 2022.
Vinit Hegiste; Tatjana Legler; Martin Ruskowski
Application of Federated Machine Learning in Manufacturing
In: 2022 International Conference on Industry 4.0 Technology (I4Tech). International Conference on Industry 4.0 Technology (I4Tech), September 23-24, …
Volkan Gezer; Carsten Harms; Carsten Brüggemann; Michael Pfeifer; Andreas Michael; Simon Althoff; Torsten Runge; Martin Ruskowski; Keran Sivalingam
Industrial Edge Cloud für die Smart Factory
In: atp - Automatisierungstechnische Praxis, Vol. 63, No. 4, Pages 54-61, Vulkan, 2022.
Jonas Weigand; Michael Deflorian; Martin Ruskowski
Input-to-state stability for system identification with continuous-time Runge-Kutta neural networks
In: International Journal of Control, Vol. 0, No. 0, Pages 1-17, Taylor & Francis, 11/2021.
William Motsch; Kirill Dorofeev; Kathrin Gerber; Sönke Knoch; Alexander David; Martin Ruskowski
Concept for Modeling and Usage of Functionally Described Capabilities and Skills
In: 26th International Conference on Emerging Technologies and Factory Automation. IEEE International Conference on Emerging Technologies and Factory …
Hooman Tavakoli Ghinani; Snehal Walunj; Parsha Pahlevannejad; Christiane Plociennik; Martin Ruskowski
Small Object Detection for Near Real-Time Egocentric Perception in a Manual Assembly Scenario
EPIC@CVPR2021 workshop, 6/2021.
Jonas Weigand; Nigora Gafur; Martin Ruskowski
Flatness Based Control of an Industrial Robot Joint Using Secondary Encoders
In: Robotics and Computer-Integrated Manufacturing, Vol. 68, Pages 1-13, Elsevier BV, 1/2021.
Simon Komesker; Wolfgang Kern; Achim Wagner; Thomas Bauernhansl; Martin Ruskowski
Structured Information Processing as Enabler of Versatile, Flexible Manufacturing Concepts
In: Philipp Weißgraeber; Frieder Heieck; Clemens Ackermann (Hrsg.). Advances in Automotive Production Technology – Theory and Application. Stuttgart …
Jens Popper; William Motsch; Alexander David; Teresa Petzsche; Martin Ruskowski (Hrsg.)
Utilizing Multi-Agent Deep Reinforcement Learning For Flexible Job Shop Scheduling Under Sustainable Viewpoints
International Conference on Electrical, Computer, Communications and Mechatronics Engineering, located at 2021 International Conference on Electrical, …