Artificial Intelligence can allow cobots to work autonomously, perceiving and understanding the environment, planning tasks, and properly acting to achieve production goals. However, effective deployment of AI technologies in real plants is not straightforward. This paper proposes the extension of SOHO (Sharework Ontology for Human-Robot Collaboration), an ontology for Human-Robot Collaboration, with OPIS concepts, a language for describing manufacturing processes. We also present a new extended implementation of TENANT, a Knowledge Engineering tool based on SOHO and OPIS. We show its suitability in a realistic collaborative scenario with a human and a robot operator cooperating to perform an assembly process.


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    Titel :

    An OPIS-Based Knowledge Engineering Framework for Collaborative Robotics


    Weitere Titelangaben:

    Lect.Notes Mechanical Engineering


    Beteiligte:
    Alexopoulos, Kosmas (Herausgeber:in) / Makris, Sotiris (Herausgeber:in) / Stavropoulos, Panagiotis (Herausgeber:in) / Foderaro, Elisa (Autor:in) / Umbrico, Alessandro (Autor:in) / Orlandini, Andrea (Autor:in)

    Kongress:

    European Symposium on Artificial Intelligence in Manufacturing ; 2024 ; Athens, Greece October 16, 2024 - October 16, 2024



    Erscheinungsdatum :

    22.03.2025


    Format / Umfang :

    10 pages





    Medientyp :

    Aufsatz/Kapitel (Buch)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch





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