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INSPECT: Learning Robot View Selection from Assistant Use

Paper recorded by Signals 4 on 2026-09-17 in cs.CV. Abstract reproduced from arXiv; link to the original below.

Published 2026-09-17 on arXiv · recorded by Signals 4 on 2026-09-18

Category: cs.CV · 计算机视觉 · first seen 2026-09-18

Abstract

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 a

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#13 most recent of 237 cs.CV papers we have recorded · ↑ newer: PhGS: Post-Hoc Pruning and Refinement of Single-View Feed-Forward 3D G · ↓ older: RawSLAM: Online HDR Gaussian SLAM from Linear Radiance
Cite this page: INSPECT: Learning Robot View Selection from Assistant Use: the #13 most recent of 237 cs.CV papers we have recorded (as of 2026-09-17). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/inspect-learning-robot-view-selection-from-assistant-use.html
Free to quote with attribution to “Signals 4 (Signals API)”. Machine-readable: papers.json
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