Minimum jerk for human catching movements in 3D

Nadine Fligge*, Joseph McIntyre, Patrick Van Der Smagt

*Autor correspondiente de este trabajo

    Producción científica: Capítulo del libro/informe/acta de congresoContribución a la conferenciarevisión exhaustiva

    25 Citas (Scopus)

    Resumen

    To investigate fast human reaching movements in 3D, we asked 11 right-handed persons to catch a tennis ball while we tracked the movements of their arms. To ensure consistent trajectories of the ball, we used a catapult to throw the ball from three different positions. Tangential velocity profiles of the hand were in general bell-shaped and hand movements in 3D coincided with well known results for 2D point-to-point movements such as minimum jerk theory or the 2/3rd power law. Furthermore, two phases, consisting of fast reaching and slower fine movements at the end of hand placement could clearly be seen. The aim of this study was to find a way to generate human-like (catching) trajectories for a humanoid robot.

    Idioma originalInglés
    Título de la publicación alojada2012 4th IEEE RAS and EMBS International Conference on Biomedical Robotics and Biomechatronics, BioRob 2012
    Páginas581-586
    Número de páginas6
    DOI
    EstadoPublicada - 2012
    Evento2012 4th IEEE RAS and EMBS International Conference on Biomedical Robotics and Biomechatronics, BioRob 2012 - Rome, Italia
    Duración: 24 jun 201227 jun 2012

    Serie de la publicación

    NombreProceedings of the IEEE RAS and EMBS International Conference on Biomedical Robotics and Biomechatronics
    ISSN (versión impresa)2155-1774

    Conferencia

    Conferencia2012 4th IEEE RAS and EMBS International Conference on Biomedical Robotics and Biomechatronics, BioRob 2012
    País/TerritorioItalia
    CiudadRome
    Período24/06/1227/06/12

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