A semantically-based software component selection mechanism for intelligent service robots

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 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.