Innovative Fabriksysteme

Seite 6 von 37.

1. 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 …

2. 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.

3. Volkan Gezer; Achim Wagner

   Real-time edge framework (RTEF): task scheduling and realisation

   In: Journal of Intelligent Manufacturing (JIMS), Vol. 32, No. 4, Pages 1-17, Springer, 4/2021.

4. 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.

5. 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 …

6. 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, …

7. Jens Popper; Vassilios Yfantis; Martin Ruskowski (Hrsg.)

   Simultaneous Production and AGV Scheduling using Multi-Agent Deep Reinforcement Learning

   CIRP Conference on Manufactoring Systems (CIRP CMS-2021), 54th CIRP Conference on Manufacturing Systems, 2021, located at CIRP, September 22-24, …

8. Jens Popper; Martin Ruskowski

   Using Multi-Agent Deep Reinforcement Learning For Flexible Job Shop Scheduling Problems

   In: Roberto Teti; Doriana M. D'Addona (Hrsg.). CIRP Proceedings. CIRP Conference on Intelligent Computation in Manufacturing Engineering (CIRP ICME), …

9. William Motsch; Aleksandr Sidorenko; Alexander David; Pascal Rübel; Achim Wagner; Martin Ruskowski

   Electrical Energy Consumption Interface in Modular Skill-Based Production Systems with the Asset Administration Shell

   In: Procedia Manufacturing, Vol. 55, Pages 535-542, Elsevier, 2021.

10. Aleksandr Sidorenko; Magnus Volkmann; William Motsch; Achim Wagner; Martin Ruskowski

    An OPC UA Model of the Skill Execution Interaction Protocol for the Active Asset Administration Shell

    In: Procedia Manufacturing, Vol. 55, Pages 191-199, Elsevier, 2021.

• vorherige
• 1
• …
• 5
• 6
• 7
• …
• 37
• nächste