Trajectory Planning for a Mobile Robot in a Dynamic Environment Using an LSTM Neural Network

Autonomous mobile robots are an important focus of current research due to the advantages they bring to the industry, such as performing dangerous tasks with greater precision than humans. An autonomous mobile robot must be able to generate a collision-free trajectory while avoiding static and dynam...

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Auteurs principaux:	Alejandra Molina-Leal, Alfonso Gómez-Espinosa, Jesús Arturo Escobedo Cabello, Enrique Cuan-Urquizo, Sergio R. Cruz-Ramírez
Format:	article
Langue:	EN
Publié:	MDPI AG 2021
Sujets:	mobile robot obstacle avoidance LSTM neural network dynamic path planning Technology T Engineering (General). Civil engineering (General) TA1-2040 Biology (General) QH301-705.5 Physics QC1-999 Chemistry QD1-999
Accès en ligne:	https://doaj.org/article/3ccd13899eab42eabd62f274844e3983
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Trajectory Planning for a Mobile Robot in a Dynamic Environment Using an LSTM Neural Network

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