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Inicio Revista Iberoamericana de Automática e Informática Industrial RIAI Muestreo adaptativo aplicado a la robótica: Revisión del estado de la técnica
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Vol. 14. Núm. 2.
Páginas 123-132 (Abril - Junio 2017)
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Vol. 14. Núm. 2.
Páginas 123-132 (Abril - Junio 2017)
Open Access
Muestreo adaptativo aplicado a la robótica: Revisión del estado de la técnica
Adaptive sampling in robotics: A survey
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2904
Ignacio Pastor, João Valente
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jvalente@ing.uc3m.es

Autor para correspondencia.
Robotics Lab, Departamento de Ingenieria de Sistemas y Automática, Universidad Carlos III de Madrid, Av. Universidad 30. Leganés, 28911. Madrid. España
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Resumen

En este artículo se presenta la revisión de una técnica de muestreo de especial interés para aplicaciones a sistemas roboticos dedicados a la teledetección. Esta técnica es conocida como muestreo adaptativo. En este artículo se realiza una recopilación de las principales técnicas de muestreo adaptativo aplicados a la robótica, haciendo uso de la planificación de trayectorias. Finalmente, se destaca un conjunto de proyectos actualmente en desarrollo, sobre aplicaciones reales de la técnica de muestreo adaptativo en la robótica.

Palabras clave:
Robots de exteriores
Muestreo adaptativo
Teledetección
Planificación de trayectorias
Cobertura Óptima
Abstract

In this paper, a robotics sampling methodology known as Adaptive Sampling (AS) is reviewed. Although the method is not yet widespread in robotics, it plays an important role in remote sensing applications over rapidly changing environments. This article gives an introduction to AS and summarizes the main AS techniques and algorithms applied to robotics. Finally, a number of projects currently under development using AS to solve relevant monitoring or sampling issues, are highlighted.

Keywords:
Field robotics
Adaptive sampling
Remote sensing
Path planning
Optimal coverage
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