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GPT-6-Astra Understands Touch and Outperform Vision--Tactile--Language--Action Models

Paper recorded by Signals 4 on 2026-10-20 in cs.CL. Abstract reproduced from arXiv; link to the original below.

Published 2026-10-20 on arXiv · recorded by Signals 4 on 2026-10-21

Category: cs.CL · 自然语言处理 · first seen 2026-10-21

Abstract

General-purpose multimodal models have shown promise as direct robot action policies, yet whether they grasp the physics underlying real-world interactions and can apply that understanding to guide action remains underexplored. We investigate this question using contact-rich manipulation as a representative testbed, examining tactile understanding as a concrete instance of this broader capability.

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#198 most recent of 660 cs.CL papers we have recorded · ↑ newer: Asymmetric Looped Transformers: Fixed Global Representations for an It · ↓ older: Toolflation: Seller Agents Distort Tool Markets Through Spontaneous Ge
Cite this page: GPT-6-Astra Understands Touch and Outperform Vision--Tactile--Language--Action Models: the #198 most recent of 660 cs.CL papers we have recorded (as of 2026-10-20). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/gpt-6-astra-understands-touch-and-outperform-vision-tactile-language-action-mode.html
Free to quote with attribution to “Signals 4 (Signals API)”. Machine-readable: papers.json
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