An Agent- and Role-based Planning Approach for Flexible Automation of Advanced Production Systems
Paper in proceeding, 2018

In this paper, we discuss the requirements for an agent-and role-based planning approach for flexible automation at advanced production systems. Special attention is given to balanced automation systems involving humans cooperating and/or collaborating with robots, and to processes interoperability between human agents and artificial (robot) agents towards flexible production system. This application context combines the research needs from fields of the Operator 4.0, Collaborative Robotics, Symbolic Artificial Intelligence and Automatic Control. We provide a brief overview of the contextualized state-of-the-art and discuss approaches towards flexible automation in advanced production systems.

Production Systems

Processes Interoperability

Symbolic Artificial Intelligence

Flexible Automation

Cooperative Agent Systems

Operator 4.0

Automatic Control

Balanced Automation Systems

Robotic Systems

Author

Georg Weichhart

Profactor GmbH

Åsa Fasth Berglund

Chalmers, Industrial and Materials Science, Production Systems

David Romero

Monterrey Institute of Technology and Higher Education

Andreas Pichler

Profactor GmbH

IEEE Conference on Intelligent Transportation Systems, Proceedings, ITSC

391-399 8710546
978-1-5386-7097-2 (ISBN)

The 9th IEEE international conference on intellegent systems (IS)
Funchal, Portugal,

Stena Industry Innovation Lab at Chalmers - SII-Lab

Sten A Olsson Foundation for Research and Culture - Stena Foundation (SII-Lab), 2018-01-01 -- 2020-12-30.

Subject Categories

Production Engineering, Human Work Science and Ergonomics

Robotics

Computer Science

Areas of Advance

Production

DOI

10.1109/IS.2018.8710546

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1/3/2024 9