Por favor, use este identificador para citar o enlazar este ítem: https://repositorio.cetys.mx/handle/60000/1463
Título : Fuzzy Logic Augmentation of Neural and Optimization Algorithms: Theoretical Aspects and Real Applications
Título de capítulo: Parallel Bacterial Potential Field Algorithm for Path Planning in Mobile Robots: A GPU Implementation
Autor : Orozco Rosas, Ulises
Montiel, Oscar
Sepúlveda, Roberto
Palabras clave : Bacterial potential field;Path planning;Mobile robots;GPU
Sede: Campus Tijuana
Fecha de publicación : ene-2018
Resumen : Path planning is a fundamental task in autonomous mobile robot navigation and one of the most computationally intensive tasks. In this work, a parallel version of the bacterial potential field (BPF) method for path planning in mobile robots is presented. The BPF is a hybrid algorithm, which makes use of a bacterial evolutionary algorithm (BEA) with the artificial potential field (APF) method, to take advantage of intelligent and classical methods. The parallel bacterial potential field (parallel-BPF) algorithm is implemented on a graphics processing unit (GPU) to speed up the path planning computation in mobile robot navigation. Simulation results to validate the analysis and implementation are provided; the experiments were specially designed to show the effectiveness and the efficiency of the parallel-BPF algorithm.
URI : https://repositorio.cetys.mx/handle/60000/1463
ISSN : 1860-9503
Aparece en las colecciones: Capítulos de Libro

Ficheros en este ítem:
No hay ficheros asociados a este ítem.


Este ítem está protegido por copyright original



Este ítem está sujeto a una licencia Creative Commons Licencia Creative Commons Creative Commons