It's like playing against StarCraft 2 AI set to Insane difficulty.
). Swift AI was able to master a course in a week, record the fastest lap times, and outperform the best drone racers from three different drone racing leagues in head-to-head races., an event where remote-controlled drones are flown by pilots wearing special visors with a first-person video feed from the drones' onboard camera race through a series of LED gates. It's chaotic, and watching little brightly colored quadcopters crash into gates never gets old.
The way it works is that Swift sends video data from the drone's onboard camera to its neural network via an onboard module, which factors in the drone's position, orientation, and speed. This info is then fed to a second neural network that tells the drone what to do as it approaches each racing gate.
One important note is that training the AI relied heavily on trial and error, resulting in hundreds of crashes. Since it was a virtual course, the AI could simply restart and try again until it got it right. During the real-world race, the AI could even factor in dynamic changes in the environment.
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