Abstract
This paper describes an evolutionary algorithm approach for the optimization of a reactive controller applied to a mobile robot. The algorithm will optimize the Fuzzy Inference System and the position and number of the sensors on the robot, while trying to use the minimum power possible.
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Meléndez, A., Castillo, O., Garza, A.A. (2010). A Fuzzy Reactive Controller of a Mobile Robot. In: Castillo, O., Kacprzyk, J., Pedrycz, W. (eds) Soft Computing for Intelligent Control and Mobile Robotics. Studies in Computational Intelligence, vol 318. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-15534-5_14
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DOI: https://doi.org/10.1007/978-3-642-15534-5_14
Publisher Name: Springer, Berlin, Heidelberg
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