Enhanced Multi-UAV Path Planning in Complex Environments With Voronoi-Based Obstacle Modelling and Q-Learning

To tackle the challenge of obstacle avoidance path planning for multiple unmanned aerial vehicles (UAVs) in intricate environments, this study introduces a Voronoi graph–based model to represent the obstacle-laden environment and employs a Markov decision process (MDP) for single UAV path planning....

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Bibliographic Details
Main Authors: Wenjia Su, Min Gao, Xinbao Gao, Zhaolong Xuan
Format: Article
Language:English
Published: Wiley 2024-01-01
Series:International Journal of Aerospace Engineering
Online Access:http://dx.doi.org/10.1155/2024/5114696
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