Generating Behaviour Networks from Finite-State Machines

Konferenz: ROBOTIK 2012 - 7th German Conference on Robotics
21.05.2012-22.05.2012 in Munich, Germany

Tagungsband: ROBOTIK 2012

Seiten: 6Sprache: EnglischTyp: PDF

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Armbrust, Christopher; Schmidt, Daniel; Berns, Karsten (Robotics Research Lab, Department of Computer Science, University of Kaiserslautern, P.O. Box 3049, 67653 Kaiserslautern, Germany)

This paper presents a novel approach for applying behaviour-based concepts at a high, deliberative layer of a robot control system. Complex tasks which a robot shall fulfil are typically specified using finite-state machines. It is shown here that behaviour-based systems can be used to implement such machines. This allows for realising complex tasks and at the same time benefit from the advantages of behaviour-based systems. A formal method for creating a behaviour network to a given Moore machine is described. The applicability of the presented concept is demonstrated using an example from the control system of a bucket excavator.