Globally various robots working in harmony to perform a variety of tasks it is extremely important to map a path for hassle-free performance without restrictions and smooth movement even in the most complex situations. A common example of such complex situations is a robot moving in a crowded place full of human beings. The bot must find its way amidst these circumstances without disturbing the overall environmental setup. One such unique method for this to happen is human-robot interaction based on emotions. In this paper, various methods are discussed and present a substantial comparison between different methods of socially aware robotics based on facial expressions and emotions. The methods incorporated are GAIT based emotion learning, Affective Cognitive Learning, and Decision-Making model, and Pleasure-Arousal-Dominance Model.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Study of Emotion Recognition Models for Socially Aware Robots and Subsequent Path Mapping


    Beteiligte:


    Erscheinungsdatum :

    2020-11-05


    Format / Umfang :

    181221 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    Are socially-aware trajectory prediction models really socially-aware?

    Saadatnejad, Saeed / Bahari, Mohammadhossein / Khorsandi, Pedram et al. | Elsevier | 2022


    Socially Reactive Navigation Models for Mobile Robots in Dynamic Environments

    de Sousa Ribeiro, Ricarte / Moreno, Plinio | Springer Verlag | 2024


    Parameterized facial animation for socially interactive robots

    Wittig, Steffen / Rätsch, Matthias / Kloos, Uwe | BASE | 2015

    Freier Zugriff

    Socially-aware evaluation framework for transportation

    Kuncheria, Anu / Walker, Joan L. / Macfarlane, Jane | Taylor & Francis Verlag | 2023

    Freier Zugriff