Much of the recent work on motor learning and rehabilitation robotics has focused on developing sophisticated, many degrees-of-freedom robotic mechanisms to support movement training of complex movements using fixed haptic guidance. Robotic haptic guidance is a motor-training strategy in which a machine physically interacts with the subject’s limbs during movement training. Although rehabilitation therapists commonly use haptic guidance in rehabilitation exercises, there is little evidence that robotic guidance is beneficial for human motor learning beyond enhancing safety. In fact, a long-standing hypothesis in motor learning asserts that providing too much assistance during training will impair learning. If this hypothesis stands, the field of rehabilitation robotics would end at a deadlock: a large number of developed rehabilitation robotic devices would be proved ineffective to improve rehabilitation outcomes and motor learning. Here we review the current state of the art robotic controllers that aim to improve motor learning and rehabilitation outcomes.


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    Titel :

    Control Strategies for Robot-Assisted Training - Literature Review and Experimental Impressions


    Weitere Titelangaben:

    Biosystems & Biorobotics


    Beteiligte:
    Pons, José L (Herausgeber:in) / Torricelli, Diego (Herausgeber:in) / Pajaro, Marta (Herausgeber:in) / Marchal-Crespo, Laura (Autor:in)


    Erscheinungsdatum :

    2013-01-01


    Format / Umfang :

    6 pages





    Medientyp :

    Aufsatz/Kapitel (Buch)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




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