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Qwen-RobotWorld Technical Report: Unifying Embodied World Modeling through Language-Conditioned Video Generation research paper by Alibaba (Qwen), 2026

Alibaba (Qwen) · Jun 15, 2026 · Foundation models · 9 citations · 47 upvotes · unverified

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What it shows

Qwen-RobotWorld is a language-conditioned video world model that predicts future visual trajectories across multiple robotic domains using a double-stream diffusion transformer and embodied world knowledge corpus.

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

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About this paper
Authors
Jie Zhang, Xiaoyue Chen, Anzhe Chen and 35 more
arXiv
2606.17030 · PDF
Venue
arXiv.org
Citations
9, 0 influential · Semantic Scholar
Upvotes
47 · Hugging Face
Lab
Alibaba (Qwen) · on Companies · on Quarterly

Changes

What changed
Influential citationsfirst count: 0Sep 25, 2026
Citationsfirst count: 9Sep 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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