DocumentCode :
3605678
Title :
Two-Finger Caging of Polygonal Objects Using Contact Space Search
Author :
Allen, Thomas F. ; Burdick, Joel W. ; Rimon, Elon
Author_Institution :
Dept. of Mech. Eng., California Inst. of Technol., Pasadena, CA, USA
Volume :
31
Issue :
5
fYear :
2015
Firstpage :
1164
Lastpage :
1179
Abstract :
Multifinger caging offers a rigorous and robust object grasping approach. Focusing on two-finger caging, this paper describes an algorithm for finding all two-finger cage formations of planar polygonal objects based on contact-space formulation. The paper shows that two-finger cages have several useful properties in contact space. First, the critical points of the cage representation in the hand´s configuration space appear as critical points of the interfinger distance function in contact space. Second, these critical points can be graphically characterized directly on the object´s boundary. Third, contact space admits a natural rectangular decomposition such that all critical points lie on the rectangle boundaries, and the sublevel sets of contact space and free space are topologically equivalent. These properties lead to a caging graph that can be readily constructed in contact space. Starting from a desired immobilizing grasp of a polygonal object, the caging graph is searched for the minimal, intermediate, and maximal caging regions surrounding the immobilizing grasp. An example constructed from real-world data illustrates and validates the method.
Keywords :
computational geometry; graph theory; search problems; caging graph; contact space search; hand configuration space; interfinger distance function; multifinger caging; natural rectangular decomposition; planar polygonal objects; rectangle boundaries; robust object grasping approach; two-finger cage formations; Cavity resonators; Focusing; Force; Grasping; Robots; Search problems; Standards; Caging; grasping;
fLanguage :
English
Journal_Title :
Robotics, IEEE Transactions on
Publisher :
ieee
ISSN :
1552-3098
Type :
jour
DOI :
10.1109/TRO.2015.2463651
Filename :
7258384
Link To Document :
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