Integrating fuzzy logic and neural networks in the design of navigation competencies of an autonomous mobile robot

• Tipo: Artigo em Livro de Atas de Conferência Internacional
• Data: 1999

Autores

neves, mc (Autor) Outra; oliveira, e (Autor) FEUP

Ata de Conferência Internacional

Título: COMPUTATIONAL INTELLIGENCE FOR MODELLING, CONTROL & AUTOMATION - EVOLUTIONARY COMPUTATION & FUZZY LOGIC FOR INTELLIGENT CONTROL, KNOWLEDGE ACQUISITION & INFORMATION RETRIEVAL

Páginas: 178-183

International Conference on Computational Intelligence for Modelling, Control and Automation (CIMCA 99)

VIENNA, AUSTRIA, FEB 17-19, 1999

Indexação

ISI Web of Knowledge - 0 Citações

Classificação Científica

FOS: Ciências da engenharia e tecnologias > Engenharia electrotécnica, electrónica e informática

Outras Informações

ID Authenticus: P-001-5FV

Abstract (EN): A real autonomous mobile robot should be able to deal with a wide range of tasks and environments and to evolve through the acquisition and adaptation of its own navigation competencies. This is our major concern in the development of ARCoS, an Autonomous mobile Robot Control System, whose main purpose is to transform a mobile robot platform in an autonomous mobile robot. In this paper we are going to focus on the agents' architecture, which are responsible for those navigation competencies. Through the integration of a fuzzy control system together with a neural network, we allow an autonomous mobile robot to acquire as well as to adapt, in a simple way, the needed navigation competencies to perform more complex navigation tasks. These more sophisticated tasks involve the integration and co-operation of several different agents that are responsible for elementary navigation competencies.

Idioma: Inglês

Tipo (Avaliação Docente): Científica

Nº de páginas: 6