Addressing Local Minima in Path Planning for Drones with Reinforcement Learning-Based Vortex Artificial Potential Fields

Addressing Local Minima in Path Planning for Drones with Reinforcement Learning-Based Vortex Artificial Potential Fields

In complex environments, autonomous navigation for quadrotor drones presents challenges in terms of obstacle avoidance and path planning. Traditional artificial potential field (APF) methods are plagued by issues such as getting stuck in local minima and inadequate handling of dynamic obstacles. Thi...

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Bibliographic Details
Main Authors: Boyi Xiao, Lujun Wan, Xueyan Han, Zhilong Xi, Chenbo Ding, Qiang Li
Format: Article
Language:English
Published: MDPI AG 2025-07-01
Series:Machines
Subjects:
quadrotor drones
vortex artificial potential field (VAPF)
reinforcement learning (RL)
local minima
Online Access:https://www.mdpi.com/2075-1702/13/7/600
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