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

  • Authors:
  • Hwayoun Lee;Ho-Jin Choi;In-Young Ko

  • Affiliations:
  • Information and Communications University, Daejeon, Korea;Information and Communications University, Daejeon, Korea;Information and Communications University, Daejeon, Korea

  • Venue:
  • MICAI'05 Proceedings of the 4th Mexican international conference on Advances in Artificial Intelligence
  • Year:
  • 2005

Quantified Score

Hi-index 0.00

Visualization

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.