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HumanCLAW: Can Vision-Language Models Act Through a Body? research paper by Meta, 2026

Meta · Jul 29, 2026 · Multimodal and robotics · 2 citations · 75 upvotes · unverified

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What it shows

HumanCLAW decouples high-level vision-language decisions from low-level motor execution to evaluate embodied action intelligence, revealing that current vision-language models lack embodied self-awareness.

UnverifiedHugging Face's summary; not yet checked by hand.

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About this paper
Authors
Siyao Li, Jiawei Gu, Shuai Liu and 15 more
arXiv
2607.27180 · PDF
Venue
arXiv.org
Citations
2, 0 influential · Semantic Scholar
Upvotes
75 · Hugging Face
Code
github.com/Human-CLAW/HumanCLAW
Lab
Meta · on Companies · on Acquisitions · on Quarterly · on Paydays · on TechConf

Changes

What changed
Influential citationsfirst count: 0Sep 25, 2026
Citationsfirst count: 2Sep 25, 2026
New paperFound by the weekly scan, unverifiedSep 25, 2026

Sources: each lab's own papers and arXiv, with citation and upvote counts from Semantic Scholar and Hugging Face. One-line summaries are for orientation, not a substitute for the paper. Logos via logo.dev; trademarks belong to their owners.

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