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INSPECT: Learning Robot View Selection from Assistant Use

arXiv · AI, language, vision and robotics · article · Sep 17, 2026 · UTC

Robots inspecting an assembly must determine which parts are present and whether they are correctly installed. During egocentric assembly assistance, head motion and workpiece handling reveal evidence for these checks, while spoken state confirmations link observations to procedural outcomes. We introduce INSPECT, which learns robot view preferences from records of a smart-glasses assistant that answers part queries and provides next-step guidance. Presence-Invariant TwinSwap (PI-TwinSwap) calibrates object evidence through paired identity interventions. Claim-indexed supervision separates evi

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Evidence & attribution

First collected: 2026-09-19T20:28:14.107Z. This is not the publication date.