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Real-time adaptation is imperative to the control of robots operating in complex, dynamic environments.
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Control contraction metrics: Convex and intrinsic criteria for nonlinear feedback design
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R. Rashad, J. Goerres, R. Aarts, J. B. C. Engelen, and S. Stramigioli · 2020
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Model-based meta-reinforcement learning for flight with suspended payloads
S. Belkhale, R. Li, G. Kahn, R. McAllister, R. Calandra, and S. Levine · 2021
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Implicit regularization and momentum algorithms in nonlinearly parameterized adaptive control and prediction
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Meta-learning-based robust adaptive flight control under uncertain wind conditions
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Adaptive robust model predictive control with matched and unmatched uncertainty
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Neural stochastic contraction metrics for learning-based control and estimation
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