Author(s)

P. Martin & A.P. del Pobil

Abstract

Robot path planning is a problem largely addressed within the field of Artificial Intelligence (AI) since its exact optimal solution given by Computational Geometry is unfeasible to be implemented in real time. However most of classical AI methods are still unimplementable in real time. Artificial neural networks appear to be a promising paradigm to tackle this problem. We discuss how neural networks may contribute to improve the performance of robot path planners. Three types of artificial neural networks are distinguished in their application to the robot path planning problem: self-organizing feature maps, optimization neural networks and pattern classification neural networks. 1 Introduction Path planning is a well-known and one of the most important problems

Keywords