Drone Ship Landing under Adverse Sea Condition

Estimating the motion of a landing deck and controlling the descent of a drone under severe weather events is a challenging task. We have developed a simulation environment to test control and prediction algorithms that could allow a drone to safely land on a ship. This PhD program involves the investigation of innovative predictive control approaches closely linked with predictors that provide T secs ahead the future position of the landing deck.

Chief Investigators


Other Team Members

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