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
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;
Conference_Titel :
Intelligent Robots and Systems (IROS), 2013 IEEE/RSJ International Conference on
Conference_Location :
Tokyo
DOI :
10.1109/IROS.2013.6696928