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University of Turku
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Real-time adaptation of a neural network controller leads to over 49% improvement in yaw orientation tracking for quadrotors in unpredictable environments.
Adaptive neural network control plus multi-sensor fusion yields significantly improved trajectory tracking for differential drive robots in the face of unmodeled dynamics and sensor noise.
