Neural network architecture for generating potential fields for path planning

Ashraf Ali Kassim; Bhagavatula Vijaya Kumar

doi:10.1117/12.130821

16 December 1992 Neural network architecture for generating potential fields for path planning

Ashraf Ali Kassim, Bhagavatula Vijaya Kumar

Proceedings Volume 1766, Neural and Stochastic Methods in Image and Signal Processing; (1992) https://doi.org/10.1117/12.130821
Event: San Diego '92, 1992, San Diego, CA, United States

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.

Citation Download Citation

Ashraf Ali Kassim and Bhagavatula Vijaya Kumar "Neural network architecture for generating potential fields for path planning", Proc. SPIE 1766, Neural and Stochastic Methods in Image and Signal Processing, (16 December 1992); https://doi.org/10.1117/12.130821

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