Competing drone control technology: humans are faster and AI operation is more stable

On November 24, according to CNBC, the drone competition industry is rapidly growing. But when it comes to who makes a better drone operator—human or machine? NASA recently conducted an experiment on October 12 and released the results today. The findings revealed that world-class human pilots are faster, but AI-controlled drones offer greater stability. NASA pitted top drone pilot Ken Loo against an AI-driven drone in a challenging course. Loo completed the task in an average of 11.1 seconds, while the AI took 13.9 seconds on average. However, this wasn't just a simple race. Loo described the track as one of the most complex he had ever flown, saying, “This was definitely the densest track I’ve ever encountered. As a pilot, I tend to get fatigued quickly. When I was mentally drained, I started losing my way, even though I had already flown this track 10 times.” According to NASA, the AI system demonstrated superior consistency. Rob Reid, the project’s task manager, stated in a written release: “Our algorithm was designed to match human performance, and the more unstable the human, the more we saw that instability. The AI allowed the drone to fly smoothly and steadily, while human pilots often accelerated aggressively, leading to erratic flight paths.” The drones used in the competition were developed by researchers at the NASA-sponsored Jet Propulsion Laboratory. Google supported NASA’s two-year research into unmanned aerial vehicles, and this test was part of their final evaluation. While the competition is exciting, the goal goes beyond racing. These drones could be used for inventory checks in warehouses, assist in disaster response, and even help robots navigate space stations. NASA created three drones named Batman, Clown, and Nightwing, each programmed with advanced algorithms. This allows them to navigate quickly without hitting obstacles. Reid added, “In just a day, you might see them competing professionally!”

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