ORO, a knowledge management platform for cognitive architectures in robotics

Séverin Lemaignan, Raquel Ros, Lorenz Mösenlechner, Rachid Alami, Michael Beetz

Producció científica: Capítol de llibreContribució a congrés/conferènciaAvaluat per experts

143 Cites (Scopus)

Resum

This paper presents an embeddable knowledge processing framework, along with a common-sense ontology, designed for robotics. We believe that a direct and explicit integration of cognition is a compulsory step to enable human-robots interaction in semantic-rich human environments like our houses. The OpenRobots Ontology (ORO) kernel allows to turn previously acquired symbols into concepts linked to each other. It enables in turn reasoning and the implementation of other advanced cognitive functions like events, categorization, memory management and reasoning on parallel cognitive models. We validate this framework on several cognitive scenarii that have been implemented on three different robotic architectures.

Idioma originalAnglès
Títol de la publicacióIEEE/RSJ 2010 International Conference on Intelligent Robots and Systems, IROS 2010 - Conference Proceedings
Pàgines3548-3553
Nombre de pàgines6
DOIs
Estat de la publicacióPublicada - 2010
Publicat externament
Esdeveniment23rd IEEE/RSJ 2010 International Conference on Intelligent Robots and Systems, IROS 2010 - Taipei, Taiwan, Province of China
Durada: 18 d’oct. 201022 d’oct. 2010

Sèrie de publicacions

NomIEEE/RSJ 2010 International Conference on Intelligent Robots and Systems, IROS 2010 - Conference Proceedings

Conferència

Conferència23rd IEEE/RSJ 2010 International Conference on Intelligent Robots and Systems, IROS 2010
País/TerritoriTaiwan, Province of China
CiutatTaipei
Període18/10/1022/10/10

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