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Parallel Methods for Synthesizing Whole-Hand Grasps from Generalized Prototypes

机译:从广义原型合成全手掌握的并行方法

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摘要

This report addresses the problem of acquiring objects using articulated robotichands. Standard grasps are used to make the problem tractable, and a technique is developed for generalizing these standard grasps to increase their flexibility to variations in the problem geometry. A generalized grasp description is applied to a new problem situation using a parallel search through hand configuration space, and the result of this operation is a global overview of the space of good solutions. The techniques presented in this report have been implemented, and the results are verified using the Salisbury three-finger robotic hand. Robotics, Articulated hands, Grasping, Whole-hand grasps, Parallel, Grasp generalization.

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