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Classification of grasps by robot hands

Yuan Zhang, W.A. Gruver, Jia-Chen Li, Q. Zhang

Year
2001
Citations
11

Abstract

Grasping robotic hands is classified into three categories based on the object connectivity. We decompose the space of contact forces into four subspaces and develop a method to determine the dimensions of the subspaces with respect to the connectivity of the grasped object. The relationships we obtain reveal the kinematic and static characteristics of three categories of grasps. It indicates how contact forces can be decomposed corresponding to each type of grasp. The technique also provides a guideline for determining the distribution of contact forces on grasped objects. We analyze how power grasps are identified from the object connectivity and used to synthesize hand configurations for grasping and manipulation tasks. A physical interpretation of the subspaces and the determination of their dimensions are illustrated by examples.

Keywords

GRASPLinear subspaceObject (grammar)KinematicsArtificial intelligenceInterpretation (philosophy)Computer scienceRobotContact forceComputer vision

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