Data Fusion Applied to the Leader-Based Bat Algorithm to Improve the Localization of Mobile Robots

Data Fusion Applied to the Leader-Based Bat Algorithm to Improve the Localization of Mobile Robots

The increasing demand for autonomous mobile robots in complex environments calls for efficient path-planning algorithms. Bio-inspired algorithms effectively address intricate optimization challenges, but their computational cost increases with the number of particles, which is great when implementin...

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Bibliographic Details
Main Authors: Wolmar Araujo-Neto, Leonardo Rocha Olivi, Daniel Khede Dourado Villa, Mário Sarcinelli-Filho
Format: Article
Language:English
Published: MDPI AG 2025-01-01
Series:Sensors
Subjects:
robot localization
optimization
data fusion
autonomous mobile robots
Online Access:https://www.mdpi.com/1424-8220/25/2/403
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