An Agent- and Role-based Planning Approach for Flexible Automation of Advanced Production Systems
Paper i 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


Georg Weichhart

Profactor GmbH

Åsa Fasth Berglund

Chalmers, Industri- och materialvetenskap, Produktionssystem

David Romero

Tecnológico de Monterrey

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 Olssons Stiftelse för forskning och kultur - Stenastiftelsen (SII-Lab), 2018-01-01 -- 2020-12-30.


Produktionsteknik, arbetsvetenskap och ergonomi

Robotteknik och automation

Datavetenskap (datalogi)





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