Reinforcement learning policy trained on synthetic visual features in simulation enables zero-shot real-world agile multirotor landing on turbulent maritime platforms without explicit platform-state estimation.
Autonomous ship deck landing of a quadrotor UA V using feed-forward image-based visual servoing
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Vision-Based Agile Landing on Turbulent Waters
Reinforcement learning policy trained on synthetic visual features in simulation enables zero-shot real-world agile multirotor landing on turbulent maritime platforms without explicit platform-state estimation.