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