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Projekt

MAS4AI

Multi-Agent Systems for Pervasive Artificial Intelligence for assisting Humans in Modular Production Environments

Multi-Agent Systems for Pervasive Artificial Intelligence for assisting Humans in Modular Production Environments

  • Laufzeit:

Entwicklung einer Multi-Agenten-basierten Technologie für die Integration von AI-Algorithmen in der autonomen, modularen Produktion mit Werker-Assistenz.

Partner

  • DMD Med Tech
  • InTechCentras
  • LMS
  • tecnalia
  • aimen
  • TNO
  • Uniwersytet Slaski W Katowicach
  • Volkswagen
  • scm woodworking technology
  • Baltik Vairas
  • VDL
  • Fersa Bearings
  • Semaku
  • Casp
  • flexis
  • Sisteplant

Fördergeber

EU - Europäische Union

957204

EU - Europäische Union

Projekt teilen auf:

Kontakt
Dipl.-Ing. Aleksandr Sidorenko

Keyfacts

Publikationen zum Projekt

I4.0 Holonic Multi-agent Testbed Enabling Shared Production

Alexis T. Bernhard; Simon Jungbluth; Ali Karnoub; Aleksandr Sidorenko; William Motsch; Achim Wagner; Martin Ruskowski

In: John Soldatos (Hrsg.). Artificial Intelligence in Manufacturing: Enabling Intelligent, Flexible and Cost-Effective Production Through AI. Chapter 13, I4.0 Holonic Multi-agent Testbed Enabling Shared Production, Pages 231-250, ISBN 978-3-031-46451-5, Springer Nature Switzerland, Cham, 2023.

Zur Publikation

Utilizing Multi-Agent Deep Reinforcement Learning For Flexible Job Shop Scheduling Under Sustainable Viewpoints

Jens Popper; William Motsch; Alexander David; Teresa Petzsche; Martin Ruskowski (Hrsg.)

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.

Zur Publikation

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

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

CIRP Conference on Manufactoring Systems (CIRP CMS-2021), 54th CIRP Conference on Manufacturing Systems, 2021, located at CIRP, September 22-24, Athens, Greece, ELSEVIER, 2021.

Zur Publikation
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