Totally autonomous drone outperforms two ‘world-class’ human drone racers

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The bleeding edge: Researchers on the College of Zurich (UZH) developed a machine-learning algorithm for controlling a quadcopter drone that may outperform skilled drone racing pilots. The algorithm calculates “time-optimal trajectories” whereas additionally factoring within the drone’s limitations. The feat appears apparent at first look—a machine studying system beat a human once more, so what? …
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