DocumentCode :
2332511
Title :
New distances for the separation and penetration of objects
Author :
Gilbert, Elmer G. ; Ong, Chong Jin
Author_Institution :
Michigan Univ., Ann Arbor, MI, USA
fYear :
1994
fDate :
8-13 May 1994
Firstpage :
579
Abstract :
New quantitative measures for the separation and penetration of two convex objects are formulated. These measures, called separation and penetration growth distances, are closely related to traditional distance measures and share many of their desirable properties. The solution of a single optimization problem yields both the separation and penetration distances. For polytopal objects the optimization problem is a simple linear program whose computational time is O(m), where m is the number of linear inequalities required to specify the two polytopes. Numerical experiments with three dimensional polytopes demonstrate that the growth distances can be computed more rapidly than the traditional distances with a large advantage in the case of penetration distances
Keywords :
computational complexity; linear programming; path planning; 3D polytopes; computational time; object penetration; object separation; penetration growth distances; polytopal objects; separation growth distances; simple linear program; Collision avoidance; Computer graphics; Design automation; Interference; Motion detection; Motion planning; Object detection; Path planning; Process planning; Robot motion;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Robotics and Automation, 1994. Proceedings., 1994 IEEE International Conference on
Conference_Location :
San Diego, CA
Print_ISBN :
0-8186-5330-2
Type :
conf
DOI :
10.1109/ROBOT.1994.351237
Filename :
351237
Link To Document :
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