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UniT: Toward a Unified Physical Language for Human-to-Humanoid Policy Learning and World Modeling research paper by XPENG Robotics, 2026

XPENG Robotics · Apr 21, 2026 · Multimodal and robotics · 11 citations · 32 upvotes · unverified

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What it shows

UniT enables human-to-humanoid transfer by creating a unified visual-language representation that bridges kinematic differences through cross-reconstruction mechanisms and shared latent spaces.

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

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About this paper
Authors
Boyu Chen, Yi Chen, Lu Qiu and 3 more
arXiv
2604.19734 · PDF
Venue
arXiv.org
Citations
11, 0 influential · Semantic Scholar
Upvotes
32 · Hugging Face
Code
github.com/xpeng-robotics/UniT
Lab
XPENG Robotics · on Companies · on Rounds

Changes

What changed
Influential citationsfirst count: 0Sep 25, 2026
Citationsfirst count: 11Sep 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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