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机器人辅助运动学习:神经认知视角。

Robot assistance of motor learning: A neuro-cognitive perspective.

机构信息

Leibniz Research Centre for Working Environment and Human Factors, Ardeystr. 67, 44139 Dortmund, Germany.

Leibniz Research Centre for Working Environment and Human Factors, Ardeystr. 67, 44139 Dortmund, Germany.

出版信息

Neurosci Biobehav Rev. 2015 Sep;56:222-40. doi: 10.1016/j.neubiorev.2015.07.005. Epub 2015 Jul 17.

Abstract

The last several years have seen a number of approaches to robot assistance of motor learning. Experimental studies have produced a range of findings from beneficial effects through null-effects to detrimental effects of robot assistance. In this review we seek an answer to the question under which conditions which outcomes should be expected. For this purpose we derive tentative predictions based on a classification of learning tasks in terms of the products of learning, the mechanisms involved, and the modulation of these mechanisms by robot assistance. Consistent with these predictions, the learning of dynamic features of trajectories is facilitated and the learning of kinematic and dynamic transformations is impeded by robotic guidance, whereas the learning of dynamic transformations can profit from robot assistance with error-amplifying forces. Deviating from the predictions, learning of spatial features of trajectories is impeded by haptic guidance, but can be facilitated by divergent force fields. The deviations point to the existence of additional effects of robot assistance beyond the modulation of learning mechanisms, e.g., the induction of a passive role of the motor system during practice with haptic guidance.

摘要

过去几年中,已经有许多方法可以实现机器人对运动学习的辅助。实验研究产生了一系列发现,从机器人辅助的有益效果到中性效果,再到有害效果。在这篇综述中,我们试图回答在什么条件下可以产生什么样的结果。为此,我们根据学习任务的产物、涉及的机制以及机器人辅助对这些机制的调制,对学习任务进行分类,得出了一些初步的预测。这些预测与以下情况一致:机器人引导有助于轨迹的动态特征的学习,而运动学和动力学转换的学习则受到机器人引导的阻碍,而动态转换的学习则可以受益于机器人辅助的误差放大力。与预测不符的是,轨迹的空间特征的学习受到触觉引导的阻碍,但可以通过发散力场来促进。这些偏差表明,机器人辅助除了对学习机制的调节之外,还存在其他影响,例如在触觉引导下的练习过程中,引起运动系统的被动作用。

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