DocumentCode :
250670
Title :
Characterization of grasp quality measures for evaluating robotic hands prehension
Author :
Leon, Beatriz ; Rubert, Carlos ; Sancho-Bru, Joaquin ; Morales, Aythami
Author_Institution :
Adaptive Syst. Res. Group, Univ. of Hertfordshire, Hatfield, UK
fYear :
2014
fDate :
May 31 2014-June 7 2014
Firstpage :
3688
Lastpage :
3693
Abstract :
Many analytical metrics have been proposed to evaluate the quality of a grasp based on different criteria and principles. To use most of them in practical real applications, some operational parameters need to be determined: maximum and minimum values, normalization ratios, quality thresholds, robustness in front of position errors and, more importantly, relations between alternative metrics. This paper proposes a methodology to study and characterize the operational parameters that allow the use of several metrics in practical applications, and comparing them. The proposed approach uses exhaustive simulation testing to obtains statically significant results regarding the measurements of several quality metrics. This allows an informed setting of the practical operational values for each metric. Results are provided for a Barrett hand grasping a varied set of objects.
Keywords :
manipulators; Barrett hand grasping; analytical metrics; exhaustive simulation testing; grasp quality measure characterization; grasp quality metrics; robotic hand prehension; Correlation; Joints; Robots; Sensitivity; Shape; Vectors;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Robotics and Automation (ICRA), 2014 IEEE International Conference on
Conference_Location :
Hong Kong
Type :
conf
DOI :
10.1109/ICRA.2014.6907393
Filename :
6907393
Link To Document :
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