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Although eyes and upper limbs work together over the whole course of arm movement, vision usually dominates in visual-haptic perception. The dependence of the brain on visual information is demonstrated by the wide variety of visual illusions, such as “shade and shape,” that have been developed. In order to quantitatively measure upper-limb motion, a haptic device can be used to obtain numerical data...
In this paper, a novel method to synthesize a desired trajectory and sensory feedback control laws for robots based on the statistical characteristics of direct teaching data by a human is proposed. This work was motivated by a poor performance of an origami-folding robot developed by the authors. Since the robot simply replayed a given trajectory without sensory feedback control, it often failed...
A virtual robot teaching system, consisting of human demonstration and motion-intention analysis in a virtual reality environment, is an advanced form of automatic programming for multi-fingered robots. We propose a new segmentation method to analyze human motion data. In this method, the human motion data consisting of contact points, grasped force, hand and object position, and the like are segmented...
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