Semantic framework for social robot self-configuration

Healthcare environments, as many other real world environments, present many changing and unpredictable situations. In order to use a social robot in such an environment, the robot has to be prepared to deal with all the changing situations. This paper presents a robot self-configuration approach to...

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Bibliographic Details
Published inSensors (Basel, Switzerland) Vol. 13; no. 6; pp. 7004 - 7020
Main Authors Azkune, Gorka, Orduña, Pablo, Laiseca, Xabier, Castillejo, Eduardo, López-de-Ipiña, Diego, Loitxate, Miguel, Azpiazu, Jon
Format Journal Article
LanguageEnglish
Published Switzerland MDPI AG 28.05.2013
Molecular Diversity Preservation International (MDPI)
Subjects
Flexibility
healthcare environments
Older people
ontologies
Ontology
Patients
Robotics
Robots
self-configuration
Semantics
Sensors
social robots
Therapists
Spain
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Summary:Healthcare environments, as many other real world environments, present many changing and unpredictable situations. In order to use a social robot in such an environment, the robot has to be prepared to deal with all the changing situations. This paper presents a robot self-configuration approach to overcome suitably the commented problems. The approach is based on the integration of a semantic framework, where a reasoner can take decisions about the configuration of robot services and resources. An ontology has been designed to model the robot and the relevant context information. Besides rules are used to encode human knowledge and serve as policies for the reasoner. The approach has been successfully implemented in a mobile robot, which showed to be more capable of solving situations not pre-designed.
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ISSN:1424-8220
1424-8220
DOI:10.3390/s130607004