Azkune Galparsoro, GorkaOrduña Fernández, PabloLaiseca Manso, XabierCastillejo Gil, EduardoLópez de Ipiña González de Artaza, DiegoLoitxate, MiguelAzpiazu, Jon2026-06-302026-06-302013-06Azkune, G., Orduña, P., Laiseca, X., Castillejo, E., López-de-Ipiña, D., Loitxate, M., & Azpiazu, J. (2013). Semantic framework for social robot self-configuration. Sensors (Switzerland), 13(6), 7004-7020. https://doi.org/10.3390/S1306070041424-822010.3390/S130607004https://hdl.handle.net/20.500.14454/6330Healthcare 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. © 2013 by the authors; licensee MDPI, Basel, Switzerland.eng© 2013 by the authorsSelf-configurationOntologiesSocial robotsHealthcare environmentsSemantic framework for social robot self-configurationjournal article2026-06-30