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Grasp Planning for Three-Fingered Robot Hands using Taxonomy-Based Preformed Grasp and Object Primitives

Hyunhwan Jeong, Jong-Woo Park, Joono Cheong, ChongWoo Park

Year
2008
Citations
5

Abstract

In this paper, we present a grasp planning method using grasp taxonomy and object primitives. Our grasp taxonomy includes newly defined grasp methods such as thumb supported pinch and palm supported pinch, to enhance grasp robustness. On the target surface, locations of finger-print that will be contacted by the robot fingers are sampled. The sampling is made to be consistent to the grasp taxonomy, called preformed grasps, matched to the target object. We perform simulations to examine the validity and the efficacy of the proposed grasp planning method.

Keywords

GRASPComputer scienceArtificial intelligenceRobotTaxonomy (biology)ThumbObject (grammar)Computer visionHuman–computer interactionBiology

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