A model-guided online learning algorithm drives a seven-propeller wind tunnel to reproduce desired airflow profiles, including a parabolic distribution that improves a soaring robot's flight tracking.
Development of a wind tunnel experimental setup for testing multirotor unmanned aerial vehicles in turbulent conditions,
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Shaping Wind-Tunnel Airflow for Unmanned Aerial Vehicles using Online Learning
A model-guided online learning algorithm drives a seven-propeller wind tunnel to reproduce desired airflow profiles, including a parabolic distribution that improves a soaring robot's flight tracking.