A hardware deep photonic reservoir computer compensates UAV residual forces in confined spaces with accuracy matching or exceeding TCN/MLP baselines while training in milliseconds and inferring in nanoseconds.
Nonlinear mpc for quadrotors in close-proximity flight with neural network downwash prediction
2 Pith papers cite this work. Polarity classification is still indexing.
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2026 2verdicts
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Energy-based regularization on residual dynamics learning improves neural MPC for aerial robots, cutting positional error 23% versus analytical models and boosting stability over unregularized neural MPC in real flights.
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Deep Photonic Reservoir Computer Meets UAV Control: An ultra-fast learning-based compensator for agile flight in confined space
A hardware deep photonic reservoir computer compensates UAV residual forces in confined spaces with accuracy matching or exceeding TCN/MLP baselines while training in milliseconds and inferring in nanoseconds.