Abstract
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 sernantically-based component selection mechanism in which situational information around ISRs is represented as critical semantic information for the service robots to select software components. © Springer-Verlag Berlin Heidelberg 2005.
Cite
CITATION STYLE
Lee, H., Choi, H. J., & Ko, I. Y. (2005). A semantically-based software component selection mechanism for intelligent service robots. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 3789 LNAI, pp. 1042–1051). Springer Verlag. https://doi.org/10.1007/11579427_106
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