Autonomous motion of mobile robot using fuzzy-neural networks

Antonio Moran Cardenas, Javier G. Rázuri, David Sundgren, Rahim Rahmani

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8 Citas (Scopus)

Resumen

This paper analyzes the performance and practical implementation of fuzzy-neural networks for the autonomous motion of mobile robots. The designed fuzzy-neural controller is a refined version of a conventional fuzzy controller, and was trained to optimize a given cost function minimizing positioning error. It was found that the mobile robot with fuzzy-neural controller presents good positioning and tracking performance for different types of desired trajectories. It was verified by computer simulation as well as experimentally using a laboratory-scale car-like robot model.

Idioma originalInglés
Título de la publicación alojadaProceedings - 2013 12th Mexican International Conference on Artificial Intelligence, MICAI 2013
Páginas80-84
Número de páginas5
DOI
EstadoPublicada - 2013
EventoProceedings - 2013 12th Mexican International Conference on Artificial Intelligence, MICAI 2013 - Mexico City, México
Duración: 24 nov. 201330 nov. 2013

Serie de la publicación

NombreProceedings - 2013 12th Mexican International Conference on Artificial Intelligence, MICAI 2013

Conferencia

ConferenciaProceedings - 2013 12th Mexican International Conference on Artificial Intelligence, MICAI 2013
País/TerritorioMéxico
CiudadMexico City
Período24/11/1330/11/13

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