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Sensors 2013, 13(6), 7004-7020; doi:10.3390/s130607004

Semantic Framework for Social Robot Self-Configuration

Tecnalia—Industry and Transport Division, Paseo Mikeletegi 7, Donostia E-20009, Spain
DeustoTech—Deusto Institute of Technology, University of Deusto, Avda Universidades 24, Bilbao E-48007, Spain
Author to whom correspondence should be addressed.
Received: 22 March 2013 / Revised: 14 May 2013 / Accepted: 15 May 2013 / Published: 28 May 2013
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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.
Keywords: self-configuration; ontologies; social robots; healthcare environments self-configuration; ontologies; social robots; healthcare environments
This is an open access article distributed under the Creative Commons Attribution License (CC BY 3.0).

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MDPI and ACS Style

Azkune, G.; Orduña, P.; Laiseca, X.; Castillejo, E.; López-de-Ipiña, D.; Loitxate, M.; Azpiazu, J. Semantic Framework for Social Robot Self-Configuration. Sensors 2013, 13, 7004-7020.

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