DocumentCode
663931
Title
Grasping unknown objects by exploiting shape adaptability and environmental constraints
Author
Eppner, Clemens ; Brock, Oliver
Author_Institution
Robot. & Biol. Lab., Tech. Univ. Berlin, Berlin, Germany
fYear
2013
fDate
3-7 Nov. 2013
Firstpage
4000
Lastpage
4006
Abstract
In grasping, shape adaptation between hand and object has a major influence on grasp success. In this paper, we present an approach to grasping unknown objects that explicitly considers the effect of shape adaptability to simplify perception. Shape adaptation also occurs between the hand and the environment, for example, when fingers slide across the surface of the table to pick up a small object. Our approach to grasping also considers environmental shape adaptability to select grasps with high probability of success. We validate the proposed shape-adaptability-aware grasping approach in 880 real-world grasping trials with 30 objects. Our experiments show that the explicit consideration of shape adaptability of the hand leads to robust grasping of unknown objects. Simple perception suffices to achieve this robust grasping behavior.
Keywords
grippers; robot vision; shape recognition; environmental constraints; environmental shape adaptability aware grasping; grasp success; grasping trials; robust grasping behavior; shape adaptation; unknown object grasping; Adaptation models; Grasping; Image segmentation; Robot sensing systems; Robustness; Shape; Solid modeling;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Robots and Systems (IROS), 2013 IEEE/RSJ International Conference on
Conference_Location
Tokyo
ISSN
2153-0858
Type
conf
DOI
10.1109/IROS.2013.6696928
Filename
6696928
Link To Document