A simple approach to robot navigation based on cooperative neural networks

Author

Del-Hoyo-Alonso, Rafael ; Medrano-Marques, Nicolas ; Martín-Del-Brío, Bonifacio

Author_Institution

Dept. of Electron., Autom. & Telecommun. Eng., Instituto Tecnologico de Aragon, Zaragoza, Spain

Volume

3

fYear

2002

fDate

5-8 Nov. 2002

Firstpage

2421

Abstract

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.

Keywords

collision avoidance; mobile robots; multilayer perceptrons; navigation; self-organising feature maps; software agents; autonomous agent navigation; combined artificial neural network architectures; cooperative neural networks; maze; multilayer perceptrons; neural network-based agent model; obstacle avoidance model; robot navigation; self-organising map; Artificial neural networks; Biological system modeling; Biosensors; Mice; Multilayer perceptrons; Navigation; Neural networks; Robotics and automation; Robots; Sensor systems;

fLanguage

English

Publisher

ieee

Conference_Titel

IECON 02 [Industrial Electronics Society, IEEE 2002 28th Annual Conference of the]

Print_ISBN

0-7803-7474-6

Type

conf

DOI

10.1109/IECON.2002.1185352

Filename

1185352