Do we need complex rehabilitation robots for training complex tasks?

Joaquin Penalver-Andres, Jaime E. Duarte, H. Vallery, Verena Klamroth-Marganska, R. Riener, L. Marchal-Crespo, G. Rauter
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引用次数: 2

Abstract

One key question in motor learning is how the complex tasks in daily life – those that require coordinated movements of multiple joints – should be trained. Often, complex tasks are directly taught as a whole, even though training of simple movement components before training the entire movement has been shown to be more effective for particularly complex tasks (“part-whole transfer paradigm”). The important implication of the part-whole transfer paradigm, e.g. on the field of rehabilitation robotics, is that training of most complex tasks could be simplified and, subsequently, devices used to train can become simpler and more affordable. In this way, robot-assisted rehabilitation could become more accessible. However, often the last step in the training process is forgotten: the recomposition of several simple movement components to a complete complex movement. Therefore, at least for the last training step, a complex rehabilitation device may be required.In a pilot study, we wanted to investigate if a complex robotic device (e.g. an exoskeleton robot with many degrees of freedom), such as the ARMin rehabilitation robot, is really beneficial for training the coordination between several simpler movement components or if training using visual feedback would lead to equal benefits. In a study, involving 16 healthy participants, who were instructed in a complex rugby motion, we could show first trends on the following two aspects: i) the part-whole transfer paradigm seems to hold true and therefore, simple robots might be used for training movement primitives. ii) Visual feedback does not seem to have the same potential, at least in healthy humans, to replace visuo-haptic guidance for movement recomposition of complex tasks. Therefore, complex rehabilitation robots seem to be beneficial for training complex real-life tasks.
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我们需要复杂的康复机器人来训练复杂的任务吗?
运动学习的一个关键问题是如何训练日常生活中的复杂任务——那些需要多个关节协调运动的任务。通常,复杂的任务是作为一个整体直接教授的,即使在训练整个动作之前训练简单的动作部分已经被证明对特别复杂的任务更有效(“部分-整体转移范式”)。部分-整体迁移范式的重要含义,例如在康复机器人领域,是大多数复杂任务的训练可以简化,随后,用于训练的设备可以变得更简单,更实惠。通过这种方式,机器人辅助康复将变得更容易获得。然而,训练过程中的最后一步往往被遗忘:将几个简单的动作组成一个完整的复杂动作。因此,至少在最后的训练步骤中,可能需要一个复杂的康复装置。在一项初步研究中,我们想要调查一个复杂的机器人设备(如具有多个自由度的外骨骼机器人),如ARMin康复机器人,是否真的有利于训练几个更简单的运动部件之间的协调,或者使用视觉反馈的训练是否会带来同样的好处。在一项涉及16名健康参与者的研究中,我们可以在以下两个方面显示出第一个趋势:i)部分-整体迁移范式似乎是正确的,因此,简单的机器人可能用于训练运动原语。ii)视觉反馈似乎没有同样的潜力,至少在健康的人类中,取代视觉-触觉指导复杂任务的运动重组。因此,复杂的康复机器人似乎有利于训练复杂的现实任务。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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