What Matters, When? Diagnosing and Improving Conditional Visual Grounding in Visuomotor Imitation Policies
Paper recorded by Signals 4 on 2026-09-04 in cs.AI. Abstract reproduced from arXiv; link to the original below.
Published 2026-09-04 on arXiv · recorded by Signals 4 on 2026-09-07
Category: cs.AI · 人工智能 · first seen 2026-09-07
Abstract
Visuomotor imitation policies can achieve high performance under in-distribution visual conditions yet fail when visually similar objects or receptacles are introduced. We study this behavior as a problem of conditional visual grounding: the visual target required for successful control changes with the manipulation phase and, in more complex tasks, with the observed task state. Using Action Chunk
Read on arXiv →
Cite this page: What Matters, When? Diagnosing and Improving Conditional Visual Grounding in Visuomotor Imitation Policies: the #168 most recent of 300 cs.AI papers we have recorded (as of 2026-09-04). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/what-matters-when-diagnosing-and-improving-conditional-visual-grounding-in-visuo.html
Free to quote with attribution to “Signals 4 (Signals API)”. Machine-readable:
papers.json
Get 4 AI signals a day by email — free.
Get 4 AI signals a day by email — free