A Caltech team has developed an onboard Machine Learning-based control method to help aircraft with multiple rotors and fixed wings detect and compensate for disturbances so they can keep on flying. The engineers describe the new method, which they call "Neural-Fly for Fault Tolerance" (NFFT), in a paper accepted for publication in the journal IEEE Robotics and Automation Letters.

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