Q-learning global path planning for UAV navigation with pondered priorities

Q-learning global path planning for UAV navigation with pondered priorities

The process of path planning plays a crucial role in enabling self-directed movement, particularly for unmanned aerial vehicles. This involves accommodating diverse priorities, such as route length, safety, and energy efficiency. Traditional techniques, including geometric and dynamic programming, h...

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Bibliographic Details
Main Authors: Kevin B. de Carvalho, Hiago de O.B. Batista, Leonardo A. Fagundes-Junior, Iure Rosa L. de Oliveira, Alexandre S. Brandão
Format: Article
Language:English
Published: Elsevier 2025-03-01
Series:Intelligent Systems with Applications
Subjects:
Mobile robotics
Path planning
Reinforcement learning
Q-learning
Online Access:http://www.sciencedirect.com/science/article/pii/S2667305325000110
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