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

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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Bibliographic Details
Main Authors: Alejandra Molina-Leal, Alfonso Gómez-Espinosa, Jesús Arturo Escobedo Cabello, Enrique Cuan-Urquizo, Sergio R. Cruz-Ramírez
Format: article
Language:EN
Published: MDPI AG 2021
Subjects:
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
Online Access:https://doaj.org/article/3ccd13899eab42eabd62f274844e3983
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https://doaj.org/article/3ccd13899eab42eabd62f274844e3983

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