For an effective deployment in manufacturing, Collaborative Robots should be capable of adapting their behavior to the state of the environment and to keep the user safe and engaged during the interaction. Artificial Intelligence (AI) enables robots to autonomously operate understanding the environment, planning their tasks and acting to achieve some given goals. However, the effective deployment of AI technologies in real industrial environments is not straightforward. There is a need for engineering tools facilitating communication and interaction between AI engineers and Domain experts. This paper proposes a novel software tool, called TENANT (Tool fostEriNg Ai plaNning in roboTics) whose aim is to facilitate the use of AI planning technologies by providing domain experts like e.g., production engineers, with a graphical software framework to synthesize AI planning models abstracting from syntactic features of the underlying planning formalism.


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    Titel :

    Simplifying the A.I. Planning modeling for Human-Robot Collaboration


    Beteiligte:
    Elisa Foderaro (Autor:in) / Amedeo Cesta (Autor:in) / Alessandro Umbrico (Autor:in) / Andrea Orlandini (Autor:in)

    Erscheinungsdatum :

    01.10.2021


    Anmerkungen:

    oai:zenodo.org:5543372



    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch


    Klassifikation :

    DDC:    629




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