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Mobile robot path planning using a QAPF learning algorithm for known and unknown environments

Orozco Rosas, Ulises, Picos, Kenia, Pantrigo, Juan José, Montemayor, Antonio, Cuesta-Infante, Alfredo
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Abstract

This paper presents the computation of feasible paths for mobile robots in known and unknown environments using a QAPF learning algorithm. Q-learning is a reinforcement learning algorithm that has i...

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IEEE Xplore

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Keywords: Path planningQ-learningArtificial potential fieldReinforcement learningMobile robots

DOI

https://doi.org/10.1109/ACCESS.2022.3197628

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https://repositorio.cetys.mx/handle/60000/1454

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Atribución-NoComercial-CompartirIgual 2.5 México
Except where otherwised noted, this item's license is described as Atribución-NoComercial-CompartirIgual 2.5 México
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