WAGRL: A Wind Adaptive Guidance Framework for Uncertainty-Aware UAV Trajectory Control
To address the challenges of wind-induced uncertainty, decision inconsistency, and safety risks in quadrotor trajectory tracking, this study presents a Wind Adaptive Guidance Reinforcement Learning (WAGRL) framework. Unlike conventional controllers relying on fixed aerodynamic models, WAGRL integrates ensemble-based po...
Bodi Ma, Sili Yang, Yong Tang et al.
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