Hopfield Neural Network in Solving the Robot Motion Planning Problem

N. SADATI and J. TAHERI

Keywords

Hopfield Neural Network, Robot Motion Planning, and Optimization

Abstract

In this paper, a new approach based on Artificial Neural Networks for solving the Robot Motion Planning problem, is presented. For this purpose, a Hopfield Neural Network is used in a certain constraint satisfaction problem of the Robot Motion Planning so that the energy of a state can be interpreted as the extent to which a hypothesis fit the underlying neural formulation model. Thus, low energy values indicate a good level of constraint satisfaction of the problem. Finally, since the answer obtained by the Hopfield Neural Network is not optimal, some algorithms are designed to optimize and generate the final answer.

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