DocumentCode :
3376159
Title :
Fuzzy distance functions for motion planning
Author :
Sridharan, K. ; Stephanou, Harry E.
Author_Institution :
New York State Center for Adv. Technol. in Autom. & Robotics, Rensselaer Polytech. Inst., Troy, NY, USA
fYear :
1992
fDate :
10-13 Nov 1992
Firstpage :
186
Lastpage :
189
Abstract :
The problem of planning motions offline for a robot in the presence of obstacles via an algorithm that does not proceed by a discretization of the search space involves defining good heuristics to characterize the proximal relationships between two rigid bodies and the development of algorithms for their computation. Several measures are presented, and schemes for their computation are developed. The performances of the algorithms are determined in terms of their running time. The advantage of the fuzzy model is that it lends itself easily to numerical computation involving manipulation of the coordinates of the extreme points
Keywords :
fuzzy logic; path planning; spatial reasoning; fuzzy distance functions; fuzzy model; heuristics; motion planning; obstacles; proximal relationships; rigid bodies; running time; Algorithm design and analysis; Bandwidth; Euclidean distance; Fuzzy sets; Manipulators; Motion detection; Motion measurement; Motion planning; Robotics and automation; Robots;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Tools with Artificial Intelligence, 1992. TAI '92, Proceedings., Fourth International Conference on
Conference_Location :
Arlington, VA
Print_ISBN :
0-8186-2905-3
Type :
conf
DOI :
10.1109/TAI.1992.246356
Filename :
246356
Link To Document :
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