Trajectory Optimization for an Autonomous Mobile Robot Using the Bat Algorithm

被引：1

作者：

Perez, Jonathan ^{[1
]}

Melin, Patricia ^{[1
]}

Castillo, Oscar ^{[1
]}

Valdez, Fevrier ^{[1
]}

Gonzalez, Claudia ^{[1
]}

Martinez, Gabriela ^{[1
]}

机构：

[1] Tijuana Inst Technol, Calzada Tecnol S-N, Tijuana, BC, Mexico

来源：

FUZZY LOGIC IN INTELLIGENT SYSTEM DESIGN: THEORY AND APPLICATIONS | 2018年 / 648卷

关键词：

Type-1 fuzzy logic; Optimization; Bat algorithm (BA); Mobile robot;

D O I：

10.1007/978-3-319-67137-6_25

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

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.

引用

页码：232 / 241

页数：10

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