Autonomous motion of mobile robot using fuzzy-neural networks

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

Autonomous motion of mobile robot using fuzzy-neural networks

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

Producción científica: Capítulo del libro/informe/acta de congreso › Contribución a la conferencia › revisión exhaustiva

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. © 2013 IEEE.

Idioma original	Español
Título de la publicación alojada	Proceedings - 2013 12th Mexican International Conference on Artificial Intelligence, MICAI 2013
Páginas	80-84
Número de páginas	5
Estado	Publicada - 1 dic. 2013
Publicado de forma externa	Sí

Citar esto

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title = "Autonomous motion of mobile robot using fuzzy-neural networks",

abstract = "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. {\textcopyright} 2013 IEEE.",

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Autonomous motion of mobile robot using fuzzy-neural networks. / Cardenas, Antonio Moran; Rázuri, Javier G.; Sundgren, David et al.
Proceedings - 2013 12th Mexican International Conference on Artificial Intelligence, MICAI 2013. 2013. p. 80-84.

Producción científica: Capítulo del libro/informe/acta de congreso › Contribución a la conferencia › revisión exhaustiva

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AB - 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. © 2013 IEEE.

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