When Delay Meets Drift: Physical Safety of Robot Foundation Models Is a Cross-Layer Problem
Overview
This research paper argues that physical safety in robot foundation models is not an isolated property but emerges from cross-layer interactions between environmental variations, model inference delays, and execution conditions.
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Event evidence and corrections
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Reported quantity · inference delay duration: 400 other · Basis not reported
“l environment, the model, the computing platform, and execution interact in closed loop. We formalize this as cross-layer variation propagation across these system layers and use an interaction contrast to measure when joint variation creates more risk than the sum of its parts. In 4,000 paired closed-loop episodes of the pi0.5 vision-language-action model on LIBERO, a 400 ms inference delay raises the safety-violati”
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Reported quantity · paired closed-loop episodes count: 4000 other · reported trials
“l environment, the model, the computing platform, and execution interact in closed loop. We formalize this as cross-layer variation propagation across these system layers and use an interaction contrast to measure when joint variation creates more risk than the sum of its parts. In 4,000 paired closed-loop episodes of the pi0.5 vision-language-action model on LIBERO, a 400 ms inference delay raises the safety-violati”
Exact source · revision 1Source owner not reported
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- arXiv Robotics — research abstractsSignalWhen Delay Meets Drift: Physical Safety of Robot Foundation Models Is a Cross-Layer Problem
This research paper argues that physical safety in robot foundation models is not an isolated property but emerges from cross-layer interactions between environmental variations, model inference delays, and execution conditions.
Event coverage history
There is not enough continuous observation data to show a trend.
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