Paper Info
Title
Trajectory Optimization for an Autonomous Mobile Robot Using the Bat Algorithm.
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.
Year
DOI
Venue
2017
10.1007/978-3-319-67137-6_25
FUZZY LOGIC IN INTELLIGENT SYSTEM DESIGN: THEORY AND APPLICATIONS
Keywords
Field
DocType
Type-1 fuzzy logic,Optimization,Bat algorithm (BA),Mobile robot
Convergence (routing),Trajectory optimization,Bat algorithm,Computer science,Control theory,Artificial intelligence,Fuzzy control system,Margin of error,Machine learning,Mobile robot,Trajectory,Metaheuristic
Conference
Volume
ISSN
Citations 
648
2194-5357
0
PageRank 
References 
Authors
0.34
13
6
Name
Order
Citations
PageRank
jonathan perez1292.96
Patricia Melin24009259.43
Oscar Castillo35289452.83
Fevrier Valdez495257.96
Claudia I. González519910.78
Gabriela Martinez6893.96