arXiv Machine Learning July 22, 2026 By Humphrey Munn, Brendan Tidd, Peter Bohm, Marcus Gallagher, David Howard

RAPT: Model-Predictive Out-of-Distribution Detection and Failure Diagnosis for Sim-to-Real Humanoid Deployment

Read the original on arXiv Machine Learning →

arXiv:2602. 01515v2 Announce Type: replace-cross Abstract: Deploying learned control policies is risky because policies that appear robust in simulation can confidently enter out-of-distribution (OOD) states after Sim-to-Real transfer, causing silent failures and potential hardware damage.

Summary generated by The Flow from the publisher's feed. The full article lives at arXiv Machine Learning.

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