DocumentCode
3517973
Title
Evaluation of grasp force efficiency considering hand configuration and using novel generalized penetration distance algorithm
Author
Yu Zheng ; Yamane, Keisaku
Author_Institution
Disney Res., Pittsburgh, PA, USA
fYear
2013
fDate
6-10 May 2013
Firstpage
1580
Lastpage
1587
Abstract
This paper proposes a new grasp force efficiency (GFE) measure that considers not only contact point locations but also the hand configuration and mechanism. GFE evaluates the largest wrench applied to the object that the grasp can resist with unit contact forces. Traditional GFE measures depend solely on the contact point locations without considering how the unit contact forces are generated. Intuitively, however, the actuators´ effort required to generate unit contact forces depends on the hand configuration and mechanism and therefore should affect the grasp efficiency. For example, generating a unit contact force with an under-actuated finger would be more difficult than with a fully actuated finger. Our new GFE measure addresses this issue and is potentially useful for hand mechanism design as well as grasp planning. We also present a novel geometry-based iterative algorithm for computing the generalized penetration distance of a point in an arbitrary convex set. The algorithm allows unified and accurate computation of the new and traditional GFE measures with various criteria without linear approximation. Other applications of the algorithm include penetration depth computation of two convex objects for physics simulation.
Keywords
dexterous manipulators; grippers; iterative methods; manipulator dynamics; mechanical contact; contact point locations; generalized penetration distance algorithm; geometry-based iterative algorithm; grasp force efficiency; hand configuration; hand mechanism design; robot hand grasping; underactuated fingers; unit contact forces; Approximation algorithms; Force; Force measurement; Friction; Joints; Linear approximation; Resists;
fLanguage
English
Publisher
ieee
Conference_Titel
Robotics and Automation (ICRA), 2013 IEEE International Conference on
Conference_Location
Karlsruhe
ISSN
1050-4729
Print_ISBN
978-1-4673-5641-1
Type
conf
DOI
10.1109/ICRA.2013.6630781
Filename
6630781
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