DocumentCode :
2676604
Title :
Grasp planning by alignment of pairwise shape descriptorss
Author :
Agovic, Amer ; Papanikolopoulos, Nikos
Author_Institution :
Univ. of Minnesota, Minneapolis, MN, USA
fYear :
2009
fDate :
10-15 Oct. 2009
Firstpage :
1797
Lastpage :
1804
Abstract :
The majority of work related to grasp planning has centered on the understanding of what constitutes a good grasp. However, to reach a good grasp we must first find the relative position of the gripper, its approach vector, and finger configuration. This search problem is the focus of our paper. We propose an on-line method that uses pairwise shape descriptors to quickly find good alignments between the gripper contact surface and the target. Having found a good fit, we then evaluate how alignment quality relates to grasp quality and what can be done to speed up the exploration of the DOF space.
Keywords :
grippers; medical robotics; DOF space exploration; finger configuration; grasp planning; grasp quality; gripper contact surface; gripper relative position; online method; pairwise shape descriptors alignment; search problem; Friction; Geometry; Grippers; Instruments; Microsurgery; Orbital robotics; Shape; Surface treatment; Surgery; Surges;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Robots and Systems, 2009. IROS 2009. IEEE/RSJ International Conference on
Conference_Location :
St. Louis, MO
Print_ISBN :
978-1-4244-3803-7
Electronic_ISBN :
978-1-4244-3804-4
Type :
conf
DOI :
10.1109/IROS.2009.5353938
Filename :
5353938
Link To Document :
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