This paper focuses on the core idea that underlies all mechanisms for system self-awareness: “Self”. Robot self awareness is a hot topic not only from a bioinspiration perspective but also from a more profound reflection-based strategy for increased autonomy and resilience. In this paper we address the uses and genealogy of the concept of “self”, its value in the implementation of robots and the role it may play in autonomous robotic systems’ architectures. We hence propose the inclusion of the “Self” concept in the future IEEE AuR standard ontology.


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    Title :

    An Apology for the “Self” Concept in Autonomous Robot Ontologies


    Additional title:

    Advs in Intelligent Syst., Computing



    Conference:

    Iberian Robotics conference ; 2019 ; Porto, Portugal November 20, 2019 - November 22, 2019



    Publication date :

    2019-11-20


    Size :

    13 pages





    Type of media :

    Article/Chapter (Book)


    Type of material :

    Electronic Resource


    Language :

    English




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