It feels like “quadcopter pilot” has only just became a job for humans, and already AI is gunning to take it away. Well, it’s not able to quite yet, if a recent experiment from NASA’s Jet Propulsion Laboratory is anything to go by. The agency has been testing autonomous drones for a while, and last week released the results of a race pitting computers against a professional human pilot. The good news is that the human won — but only after some practice.
In a press release, NASA said the race capped two years of research into autonomous drones. The work was funded by Google, and the test craft — named Batman, Joker, and Nightwing — used the tech giant’s Tango technology to map their surroundings in 3D. The drones were of proper racing spec, meaning they were able to fly at speeds of up to 80 mph. (Although on the cramped indoor course that NASA used, they could only go as fast as 40 mph.)
NASA’s computers took on human pilot Ken Loo, who flies under the moniker FlyingBear, and participates in the international Drone Racing League. According to NASA’s report, the AI was initially able to beat Loo, but only until he learned the twists and turns of the course. “This is definitely the densest track I’ve ever flown,” said Loo. “One of my faults as a pilot is I get tired easily. When I get mentally fatigued, I start to get lost, even if I’ve flown the course 10 times.”
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