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Review of Fuzzy Control for Path Tracking in the Robotino System

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Recent Advances of Hybrid Intelligent Systems Based on Soft Computing

Part of the book series: Studies in Computational Intelligence ((SCI,volume 915))

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Abstract

The main goal of this paper is to study works performed with Robotino, mainly by using fuzzy logic and other metaheuristics for achieving path tracking. After this, a short comparison will be made between the previously performed works. In order to help in the orientation of envisioning future works, and to analyze how efficient it is to apply fuzzy logic (including type-2 fuzzy logic), in this specific area of robotics, regardless of whether it works in conjunction with other techniques, tools, software, hardware, methodologies. Or which of the sensors of the robot are being used at the time of the works, being able to use only the infrared sensors or all the sensors that it has. The works that are considered under this study are mainly focused on the use of the Robotino, or for the path tracking by implementing omnidirectional robots.

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Correspondence to Oscar Castillo .

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Fuentes, M., Castillo, O., Cortés-Antonio, P. (2021). Review of Fuzzy Control for Path Tracking in the Robotino System. In: Melin, P., Castillo, O., Kacprzyk, J. (eds) Recent Advances of Hybrid Intelligent Systems Based on Soft Computing. Studies in Computational Intelligence, vol 915. Springer, Cham. https://doi.org/10.1007/978-3-030-58728-4_12

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