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
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