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Contributions to underwater glider path planning

Authors: Fernández Perdomo, Enrique;

Contributions to underwater glider path planning

Abstract

La Planificación de Rutas o Caminos es un disciplina de Robótica que trata la búsqueda de caminos factibles u óptimos. Para la mayoría de vehículos y entornos, no es un problema trivial y por tanto nos encontramos con un gran diversidad de algoritmos para resolverlo, no sólo en Robótica e Inteligencia Artificial, sino también como parte de la literatura de Optimización, con Métodos Numéricos y Algoritmos Bio-inspirados, como Algoritmos Genéticos y el Algoritmo de la Colonia de Hormigas. El caso particular de escenarios de costes variables es considerablemente difícil de abordar porque el entorno en el que se mueve el vehículo cambia con el tiempo. El presente trabajo de tesis estudia este problema y propone varias soluciones prácticas para aplicaciones de Robótica Submarina.

Path or Motion Planning is a Robotics discipline that deals with the search of feasible or optimal paths. For mos vehicles and environments, it is not a trivial problem and therefore we find a great deversity of algorithms to solve it, not ongly in Robotics and Artificial Intllignce, but also as part of the Optimization literature, with Numerical Methods and Bio-inspired Algorithms, like Genetic Algorithms and Ant Colony Optimization. The particular case of variable cost scenarios is considerably difficult to address because the environment where the vehicle moves varies over time. The present thesis work studies this problem and proposes a number of practical solutions for Underwater Robotics applications.

Country
Spain
Keywords

33 Ciencias tecnológicas, 331913 Vehículos submarinos, Robots submarinos

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green