Fuzzy proximity measures for robot grasp planning

Fast procedures for computing fuzzy proximity measures between a multifingered robot hand and an object to be grasped are presented. T.N. Nguyen and H.E. Stephanou (1990) presented a fuzzy approach for prehension, identified sources of fuzziness, and proposed a fuzzy algorithm for multifingered prehension. These ideas are extended by assuming fuzziness in the object location and geometric hand configuration, computing information on proximity of the hand and object, analyzing the computational efficiencies, and indicating how geometric information can be used in the process of prehension. The implementation details are outlined. The computation is useful in grasp planning and in analyzing the local behavior of the robot hand in the vicinity of the object.<<ETX>>

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