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Deep Neural Network Guides Drone to Smooth Landing

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Researchers at the California Institute of Technology (Caltech) have collaborated on a system that uses a deep neural network (DNN) to help autonomous drones “learn” how to land more safely and quickly, while consuming less power. The system, dubbed the Neural Lander, is a learning-based controller that tracks the position and speed of the drone and modifies its landing trajectory and rotor speed accordingly to achieve a steady landing. To make sure that the drone flies smoothly, the team employed spectral normalization to even out the neural network’s outputs so that it...Read full article

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