Control and motion planning of fixed-wing UAV through reinforcement learning

Control and motion planning of fixed-wing UAV through reinforcement learning

Autonomous systems, driven by advancements in artificial intelligence and machine learning, are increasingly integral to various domains, including aerial vehicle control. This paper explores the application of reinforcement learning (RL) in the Guidance, Navigation, and Control (GNC) systems of aer...

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Bibliographic Details
Main Authors: Francisco Giral, Ignacio Gomez, Soledad Le Clainche
Format: Article
Language:English
Published: Elsevier 2024-09-01
Series:Results in Engineering
Subjects:
Reinforcement learning
Flight control
GNC
UAV
Online Access:http://www.sciencedirect.com/science/article/pii/S2590123024006340

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http://www.sciencedirect.com/science/article/pii/S2590123024006340

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