GustPilot achieves 94.7% success rate in wind-disturbed quadrotor gate traversal by combining DRL velocity planning with INDI disturbance rejection, generalizing from minimal simulation training to complex real-world setups.
Model-free versus model-based reinforcement learning for fixed-wing uav attitude control under varying wind conditions,
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GustPilot: A Hierarchical DRL-INDI Framework for Wind-Resilient Quadrotor Navigation
GustPilot achieves 94.7% success rate in wind-disturbed quadrotor gate traversal by combining DRL velocity planning with INDI disturbance rejection, generalizing from minimal simulation training to complex real-world setups.