Human-likeliness of robot movements is a key component to enable a safe and effective human-robot interaction, resulting in an increase of acceptance and motion predictability of robots that have to closely interact with people. This is of particular interest for example for assistive or rehabilitative devices, but also for companion technologies. Several parameters have been used to quantify how much a robot behaves like a human, which encompass aspects related to both the robot appearance and motion. The latter point is fundamental to allow the operator to interpret robotic actions, and plan a meaningful reactions. While different approaches have been presented in literature, which aim at devising bio-aware control guidelines, a direct implementation of human actions for robot planning is not straightforward, still representing an open issue in robotics.


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    Titel :

    Natural Motion: Embedding Human-Likeliness in Robot Movements


    Weitere Titelangaben:

    Spr.Tracts in Adv.Robotics


    Beteiligte:


    Erscheinungsdatum :

    2022-01-25


    Format / Umfang :

    28 pages





    Medientyp :

    Aufsatz/Kapitel (Buch)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




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