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In this paper, we propose a novel method for learning motor skills based on grossness and fineness of movements involved in daily-life tasks. Grossness and fineness depend on the degrees of complexity (i.e., linear combinations between basis vectors) and repeatability (i.e., repeat accuracies between multiple trials) of such movements. In such a daily-life task, a robot's movements are usually related...
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