Automatic design of fuzzy control systems for autonomous mobile robots

This paper describes the design and implementation of a fuzzy controller for autonomous mobile robots. The tool Xfuzzy 3.0, developed at the IMSE (Instituto de Microelectronica de Sevilla) has been used to design a controller for the Romeo 4R autonomous vehicle designed and built at the "Escuela Superior de Ingenieros", University of Seville. The paper presents the design of the controller and real experiments with Romeo 4R demonstrating the efficiency of the controller.

[1]  Diego R. Lopez,et al.  An specification language for fuzzy systems , 2001 .

[2]  Bart Kosko,et al.  Comparison of fuzzy and neural truck backer-upper control systems , 1990, 1990 IJCNN International Joint Conference on Neural Networks.

[3]  Yilin Zhao,et al.  Kinematics, dynamics and control of wheeled mobile robots , 1992, Proceedings 1992 IEEE International Conference on Robotics and Automation.

[4]  Iluminada Baturone,et al.  Xfuzzy 3.0: a development environment for fuzzy systems , 2001, EUSFLAT Conf..

[5]  Toshinori Munakata,et al.  Fuzzy systems: an overview , 1994, CACM.

[6]  Begoña C. Arrue,et al.  Control and perception components for autonomous vehicle guidance. Application to the ROMEO vehicles , 1999 .