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Proceedings Paper

Neural network architecture for generating potential fields for path planning
Author(s): Ashraf Ali Kassim; Bhagavatula Vijaya Kumar
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Paper Abstract

This paper builds upon earlier work on the wave expansion neural network (WENN) which is a neural network capable of implementing wavefront expansion operations useful for developing potential fields for path planning. The discretized operational space or configuration space (C-Space) is mapped on to the WENN neural field which subsequently develops the artificial potential field over the C-space. The WENN has been applied to develop a simple attractive potential field and a repulsive potential field over two dimensional workspaces.

Paper Details

Date Published: 16 December 1992
PDF: 12 pages
Proc. SPIE 1766, Neural and Stochastic Methods in Image and Signal Processing, (16 December 1992); doi: 10.1117/12.130821
Show Author Affiliations
Ashraf Ali Kassim, Carnegie Mellon Univ. (Singapore)
Bhagavatula Vijaya Kumar, Carnegie Mellon Univ. (United States)

Published in SPIE Proceedings Vol. 1766:
Neural and Stochastic Methods in Image and Signal Processing
Su-Shing Chen, Editor(s)

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