In a milestone for artificial intelligence (AI), the AI system 'Swift' has beaten the world champions in drone racing -- a result that seemed unattainable just a few years ago. The AI-piloted drone was trained in a simulated environment. Real-world applications include environmental monitoring or disaster response.
Remember when IBM's Deep Blue won against Gary Kasparov at chess in 1996, or Google's AlphaGo crushed the top champion Lee Sedol at Go, a much more complex game, in 2016? These competitions where machines prevailed over human champions are key milestones in the history of artificial intelligence. Now a group of researchers from the University of Zurich and Intel has set a new milestone with the first autonomous system capable of beating human champions at a physical sport: drone racing.
The AI system, called Swift, won multiple races against three world-class champions in first-person view drone racing, where pilots fly quadcopters at speeds exceeding 100 km/h, controlling them remotely while wearing a headset linked to an onboard camera."Physical sports are more challenging for AI because they are less predictable than board or video games.
Until very recently, autonomous drones took twice as long as those piloted by humans to fly through a racetrack, unless they relied on an external position-tracking system to precisely control their trajectories. Swift, however, reacts in real time to the data collected by an onboard camera, like the one used by human racers.
Overall, Swift achieved the fastest lap, with a half-second lead over the best lap by a human pilot. On the other hand, human pilots proved more adaptable than the autonomous drone, which failed when the conditions were different from what it was trained for, e.g., if there was too much light in the room.
Pushing the envelope in autonomous flight is important way beyond drone racing, Scaramuzza notes."Drones have a limited battery capacity; they need most of their energy just to stay airborne. Thus, by flying faster we increase their utility." In applications such as forest monitoring or space exploration, for example, flying fast is important to cover large spaces in a limited time. In the film industry, fast autonomous drones could be used for shooting action scenes.
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