Neural-Fly steers a drone through all kinds of wind, thanks to artificial intelligence and just 12 minutes of training.
During training for this latest Neural-Fly experiment, the drone flew in a wind tunnel in the presence of six different wind speeds, with 13.4 mph being the fastest. “We basically teach the drone, ‘This is what it looks like when you’re hit by 5-mph wind, 10-mph wind,’” O’Connell says. “The drone is able to learn what wind looks like, and then when we go fly our figure-eight test trajectory, it uses that experience, and it says, ‘I’ve seen this before.
From that data, the team created the deep neural network that then allowed their flying machine to be skilled at carrying out maneuvers in the same wind tunnel, like zooming through a gate in a figure-eight pattern or cruising through two gates in ellipse shape. The speed the drone experienced in testing were faster than what it had encountered in training: about 27 miles per hour.
Chung sees applications for this machine-learning system when it comes to a future in which our skies could be filled with more drones. Companies like FedEx are looking into
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