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A Flexible High and Low Level Multi Task Behavior Framework for Multi-Agent Systems in Complex Environments

 
: Hoose, Sebastian; Sendzik, Daniel; Jost, Jana; Kirks, Thomas

:

Yow, K-.C:
5th Asia-Pacific Conference on Intelligent Robot Systems, ACIRS 2020 : July 17-19, 2020, Singapore
Piscataway, NJ: IEEE, 2020
ISBN: 978-1-72819-818-7
ISBN: 978-1-72819-817-0
ISBN: 978-1-72819-819-4
S.68-72
Asia-Pacific Conference on Intelligent Robot Systems (ACIRS) <5, 2020, Online>
Englisch
Konferenzbeitrag
Fraunhofer IML ()
Verteilte Künstliche Intelligenz (VKI) ; Distributed Artificial Intelligence; Social robots; Intelligent agents ; Multi-Agent-System; Production Planning; Economics

Abstract
This paper introduces a framework for behavior modeling of software agents using the Robot Operating System. We developed a framework to simplify behavior design and model conventional software agent design principles as known for example from belief desire intention BDI agents or adaptive agents. We provide a toolbox that is capable of supporting the developer with easy to implement methods written in python. Finally we present two brief example applications and evaluations in both simulation and using a social automated transport vehicle for intralogistical processes.

: http://publica.fraunhofer.de/dokumente/N-614619.html