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Erschienen in:
2005 | OriginalPaper | Buchkapitel
A Semantically-Based Software Component Selection Mechanism for Intelligent Service Robots
verfasst von : Hwayoun Lee, Ho-Jin Choi, In-Young Ko
Erschienen in: MICAI 2005: Advances in Artificial Intelligence
Verlag: Springer Berlin Heidelberg
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Intelligent service robots (ISRs) adapt to unpredictable environments by determining how to resolve the problems occurred in a troubled situation. As a way to successfully and continuously provide services, we envisage the software system embedded in a robot to dynamically reconfigure itself using new components selected from component repositories. This paper describes a component selection mechanism, which is an essential function to support such dynamic reconfiguration. We adopt a semantically-based component selection mechanism in which situational information around ISRs is represented as critical semantic information for the service robots to select software components.