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Robot Learning from a Physical World Model research paper by Google DeepMind, 2025

Google DeepMind · Nov 10, 2025 · Multimodal and robotics · 21 citations · 32 upvotes · unverified

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What it shows

PhysWorld integrates video generation and physical world modeling to enable accurate robotic manipulation from visual demonstrations without real robot data.

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

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About this paper
Authors
Jiageng Mao, Sicheng He, Hao-Ning Wu and 9 more
arXiv
2511.07416 · PDF
Venue
arXiv.org
Citations
21, 1 influential · Semantic Scholar
Upvotes
32 · Hugging Face
Code
github.com/PointsCoder/OpenReal2Sim
Lab
Google DeepMind · on Companies · on Acquisitions

Changes

What changed
Influential citationsfirst count: 1Sep 25, 2026
Citationsfirst count: 21Sep 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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