Project | MAS4AI

Duration: 10/01/2020 - 09/30/2023

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

Research Topics

Application fields

Industrie 4.0

Development of a multi-agent-based technology for the integration of AI algorithms in autonomous modular production with worker assistance.

Contact Person

Dipl.-Ing. Aleksandr Sidorenko

Aleksandr.Sidorenko@dfki.de
Phone: +49 631 20575 3408

Keyfacts

Involved research areas

Head

Prof. Dr.-Ing. Martin Ruskowski

Website

https://mas4ai.eu

Publications

All publications

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.
Multi-agent Interaction Structure for Enabling Subsidiary Planning and Control in Modular Production Systems
Simon Komesker; Jonathan Bartels; Achim Wagner; Martin Ruskowski
In: Niklas Kiefl; Frederik Wulle; Clemens Ackermann; Daniel Holder (Hrsg.). Advances in Automotive Production Technology -- Towards Software-Defined Manufacturing and Resilient Supply Chains. Stuttgart Conference on Automotive Production (SCAP), Cham, Pages 354-364, ISBN 978-3-031-27933-1, Springer International Publishing, 2023.
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.

Project | MAS4AI

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

Research Topics

Application fields

Partners

Contact Person

Keyfacts

Involved research areas

Head

Website

Publications

I4.0 Holonic Multi-agent Testbed Enabling Shared Production

Multi-agent Interaction Structure for Enabling Subsidiary Planning and Control in Modular Production Systems

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

Funding Authorities

EU - European Union

957204

Research Topics

Application fields

Partners

Share project:

Contact Person

Keyfacts

Involved research areas

Head

Website

I4.0 Holonic Multi-agent Testbed Enabling Shared Production

Multi-agent Interaction Structure for Enabling Subsidiary Planning and Control in Modular Production Systems

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

Funding Authorities

EU - European Union

957204