Abstract
This work uses the metaheuristic Bat Algorithm, and the main reason for its use is its speed of convergence, giving us the advantage of solving problems of optimization in a short time in comparison with other metaheuristic. We apply the Bat Algorithm in optimizing the trajectory of a unicycle mobile robot, which is the model considered in this work based on two wheels mounted on the same axis and a front wheel and the algorithm is responsible for building the best Type-1 fuzzy system once selected the best applied to the mobile robot model with the objective of following an established path with the least margin of error.
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Acknowledgment
We would like to express our gratitude to the CONACYT and Tijuana Institute of Technology for the facilities and resources granted for the development of this research.
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Perez, J., Melin, P., Castillo, O., Valdez, F., Gonzalez, C., Martinez, G. (2018). Trajectory Optimization for an Autonomous Mobile Robot Using the Bat Algorithm. In: Melin, P., Castillo, O., Kacprzyk, J., Reformat, M., Melek, W. (eds) Fuzzy Logic in Intelligent System Design. NAFIPS 2017. Advances in Intelligent Systems and Computing, vol 648. Springer, Cham. https://doi.org/10.1007/978-3-319-67137-6_25
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