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Scale-dependent grasp

Makoto Kaneko, Tsuyoshi Shirai, Toshio Tsuji

Year
2000
Citations
31

Abstract

The paper discusses the scale-dependent grasp. Suppose that a human approaches an object initially placed on a table and finally achieves an enveloping grasp. Under such initial and final conditions, he (or she) unconsciously changes the grasp strategy according to the size of objects, even though they have similar geometry. We call the grasp planning the scale-dependent grasp. We find that grasp patterns are also changed according to the surface friction and the geometry of cross section in addition to the scale of object. Focusing on column objects, we first classify the grasp patterns and extract the essential motions so that we can construct grasp strategies applicable to multifingered robot hands. The grasp strategies constructed for robot hands are verified by experiments. We also consider how a robot hand can recognize the failure mode and how it can switch from one to another.

Keywords

GRASPConstruct (python library)Object (grammar)RobotScale (ratio)Table (database)Computer scienceArtificial intelligenceComputer visionPhysics

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