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

Marchal Crespo, Laura (2013). Control Strategies for Robot-Assisted Training - Literature Review and Experimental Impressions. In: Pons, José L; Torricelli, Diego; Pajaro, Marta (eds.) Converging Clinical and Engineering Research on Neurorehabilitation. Biosystems & Biorobotics: Vol. 1 (pp. 115-120). Berlin, Heidelberg: Springer 10.1007/978-3-642-34546-3_19

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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.

Item Type:

Book Section (Review Article)

Division/Institute:

10 Strategic Research Centers > ARTORG Center for Biomedical Engineering Research > ARTORG Center - Motor Learning and Neurorehabilitation
10 Strategic Research Centers > ARTORG Center for Biomedical Engineering Research > ARTORG Center - Gerontechnology and Rehabilitation

UniBE Contributor:

Marchal Crespo, Laura

Subjects:

600 Technology > 610 Medicine & health
600 Technology > 620 Engineering

ISSN:

2195-3562

ISBN:

978-3-642-34545-6

Series:

Biosystems & Biorobotics

Publisher:

Springer

Language:

English

Submitter:

Angela Amira Botros

Date Deposited:

19 Jun 2018 15:54

Last Modified:

18 Jun 2019 17:02

Publisher DOI:

10.1007/978-3-642-34546-3_19

URI:

https://boris.unibe.ch/id/eprint/117124

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