The correct grasp of objects is a key aspect for the right fulfillment of a given task. Obtaining a good grasp requires algorithms to automatically determine proper contact points on the object as well as proper hand configurations, especially when dexterous manipulation is desired, and the quantification of a good grasp requires the definition of suitable grasp quality measures. This article reviews the quality measures proposed in the literature to evaluate grasp quality. The quality measures are classified into two groups according to the main aspect they evaluate: location of contact points on the object and hand configuration. The approaches that combine different measures from the two previous groups to obtain a global quality measure are also reviewed, as well as some measures related to human hand studies and grasp performance. Several examples are presented to illustrate and compare the performance of the reviewed measures. ; Postprint (published version)
Grasp quality measures: review and performance
2015-01-01
Article (Journal)
Electronic Resource
English
COMPLIANT GRASPS , Grasping , MULTIFINGERED ROBOT HANDS , Robotic hands , WRENCH SPACE , 3-D , POLYGONAL OBJECTS , Àrees temàtiques de la UPC::Informàtica::Robòtica , Grasp quality , OPTIMIZATION , STABILITY , FORCE-CLOSURE GRASPS , MANIPULATABILITY , Manipulation , Robot hands , Mans mecàniques , EFFICIENT ALGORITHM
DDC: | 629 |
Grasp quality measures: review and performance
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