Publikationen

Seite 9 von 14.

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, Pune, India, Pages 1-8, IEEE, 2022.
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.
Nigora Gafur; Gajanan Kanagalingam; Achim Wagner; Martin Ruskowski
Dynamic Collision and Deadlock Avoidance for Multiple Robotic Manipulators
In: IEEE Access (IEEE), Vol. 10, Pages 55766-55781, IEEE, 2022.
Manuel Amadeus Heid; Michael Pfeifer; Detlev Richter; Dimitri Harder; William Motsch; Nigora Gafur; Henning Gösling; Alexander David; Oliver Thomas; Martin Ruskowski; others
Sichere und effiziente Produktion durch Agentensysteme: Vernetzte Agenten kombinieren Planung und Sicherheit
In: atp magazin, Vol. 64, No. 11-12, Pages 60-67, atp magazin, 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 Automation (ETFA), IEEE, 9/2021.
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 Conference on Automotive Production (SCAP-2020), November 9-10, Stuttgart/Virtual, Germany, Pages 108-116, ARENA2036, ISBN 978-3-662-62962-8, Springer, Berlin, Heidelberg, 2021.
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, Computer, Communications and Mechatronics Engineering, October 7-8, Belle Mare, Mauritius, IEEE, 2021.