Neural Fidelity Calibration (NFC) is a novel framework that calibrates simulator physical coefficients and residual fidelity domains online during robot execution.
It fine-tunes the pretrained policy only under anomalous scenarios and builds sequential NFC online with the pretrained NFC's proposal prior.
NFC leverages optimistic exploration to enable hallucinated policy optimization when uncertainty is high and may degrade policy improvement.
The framework achieves superior simulator calibration precision and demonstrates robust robot navigation under challenging real-world conditions.