Application of Machine Learning for Adaptive Trajectory Control of UAVs Under Uncertainty

The article explores the potential of applying machine learning (ML) for adaptive trajectory control of unmanned aerial vehicles (UAVs) under uncertainty. The concepts of ML algorithms and the classification of UAVs by purpose, size, and weight are examined. To analyze control methods, theoretical a...

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Bibliographic Details
Main Authors: Alexander S. Ermilov, Olga A. Saltykova
Format: Article
Language:English
Published: Peoples’ Friendship University of Russia (RUDN University) 2025-12-01
Series:RUDN Journal of Engineering Research
Subjects:
Online Access:https://journals.rudn.ru/engineering-researches/article/viewFile/44847/24925
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