DocumentCode
2213057
Title
Path planning in a 2-D known space using neural networks and skeletonization
Author
Bourbakis, N.G. ; Goldman, D. ; Fematt, R. ; Vlachavas, L. ; Tsoukalas, L.H.
Author_Institution
Sch. of Nucl. Eng., Purdue Univ., West Lafayette, IN, USA
Volume
3
fYear
1997
fDate
12-15 Oct 1997
Firstpage
2001
Abstract
A neural network and a skeletonization based path planning in a 2D known space is presented. For the neural network path planning approach a Kohonen self-organizing net has been chosen, while for the skeletonization Kwok´s method (1988) was used. The output of the network represents a reduced representation of the free space available for robotic movement in a 2D known environment
Keywords
neural nets; path planning; 2D known space; Kohonen self-organizing net; neural networks; skeletonization based path planning; Buffer layers; Computer science; Intelligent networks; Intelligent systems; Neural networks; Neurons; Orbital robotics; Path planning; Space exploration; Vectors;
fLanguage
English
Publisher
ieee
Conference_Titel
Systems, Man, and Cybernetics, 1997. Computational Cybernetics and Simulation., 1997 IEEE International Conference on
Conference_Location
Orlando, FL
ISSN
1062-922X
Print_ISBN
0-7803-4053-1
Type
conf
DOI
10.1109/ICSMC.1997.635147
Filename
635147
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