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Statistical Turbulence and High-Fidelity Disturbance Fields for Quadrotor Flight Control

Huang, Xun
arXiv (All) · Papers
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fluid-dynamicsmachine-learningrobotics
Reinforcement-learning quadrotor controllers are usually trained under simplified wind models, yet the impact of wind-field fidelity, as opposed to magnitude, on policy robustness remains unquantified. This paper compares five disturbance-fidelity levels, from wind-free flight and discrete 1-cosine
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