RCL-NUS / NeuroMHEView on GitHub
Neural Moving Horizon Estimation (NeuroMHE) is an auto-tuning and adaptive optimal estimator. It fuses a nueral network with an MHE to render fast online adaptation to state-dependent noise. The neural network can be efficiently trained from the robot's trajectory tracking errors without the need for the ground truth data.
81Mar 5, 2026Updated 3 weeks ago

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