A simple approach to robot navigation based on cooperative neural networks
Rafael del Hoyo Alonso, Nicolás J. Medrano, B. Martín-del-Brío · 2003
This paper presents a new neural navigation and obstacle avoidance model based on multiple neural networks cooperation. In the proposed system, a combination of a self-organising map and multilayer perceptrons makes use of local information to reach a final objective into a small maze, requiring neither supervision nor previous knowledge. The use of combined artificial neural network architectures in the domain of autonomous agent navigation provides promising results.