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Brain

UnifoLM

Unitree Robotics' open-source unified-large-model series for general-purpose robot learning: comprising UnifoLM-WMA-0 (world-model-action) and UnifoLM-VLA-0 (vision-language-action). Unitree's G1 humanoid integrates UnifoLM-WMA-0.

World model · Maturity: Research · Open source · Powers 5 robots

Machine-readable surfaces

Architecture

Unitree's open-source unified-large-model series for general-purpose robot learning across multiple embodiments. UnifoLM-WMA-0 (world-model–action): a world model of robot–environment physical interaction, used both as a simulation engine for synthetic data and as a policy-enhancement head that predicts future environmental states (video prediction translated into limb actions). UnifoLM-VLA-0 (vision–language–action): a VLA for general-purpose humanoid manipulation, built on a UnifoLM-VLM base. Open-sourced on Unitree's GitHub (WMA-0 Sept 2025; VLA-0 Jan 2026).

Key facts

Open-source
UnifoLM-WMA-0 (world-model-action) open-sourced Sept 2025; UnifoLM-VLA-0 (vision-language-action, code+weights) Jan 29, 2026, on Unitree's official GitHub.
Powers (verified)
Unitree G1 integrates UnifoLM-WMA-0 (vision+language+action), per Yicai Global (Sept 16, 2025); G1 is the named real-robot platform for UnifoLM-VLA-0.
Series
UnifoLM-WMA-0 (world-model-action) + UnifoLM-VLA-0 (vision-language-action); designed for multiple robotic embodiments / general-purpose robot learning.
Wiring scope
Wired to G1 only. R1 and H1 left unwired, no primary source names them as UnifoLM platforms (honest absence over inferred presence).
DEPLOY maturity rationale
Open-source research release powering research-tier G1; classified research (brain), not commercial.

Developed by (1)

Powers (5)

Where UnifoLM runs

View the global map

Deployments of robots powered by UnifoLM, by place and type.

Free to use on your site, with a link back to DEPLOY.

Common questions

What is UnifoLM?
Unitree Robotics' open-source unified-large-model series for general-purpose robot learning: comprising UnifoLM-WMA-0 (world-model-action) and UnifoLM-VLA-0 (vision-language-action). Unitree's G1 humanoid integrates UnifoLM-WMA-0.
Which robots run on UnifoLM?
5 robot models on the DEPLOY registry run on UnifoLM: Unitree G1, Unitree R1, Unitree H1, Unitree H2 and 1 other.
Who developed UnifoLM?
UnifoLM is credited to Unitree Robotics on the DEPLOY registry. Each developer attribution is verified via primary sources.
Is UnifoLM open source?
Yes. UnifoLM is recorded as open-source / open-weights on the DEPLOY registry, meaning model weights or source code are publicly available.
What type of AI is UnifoLM?
UnifoLM is a world model, built on a Unitree's open-source unified-large-model series for general-purpose robot learning across multiple embodiments. UnifoLM-WMA-0 (world-model–action): a world model of robot–environment physical interaction, used both as a simulation engine for synthetic data and as a policy-enhancement head that predicts future environmental states (video prediction translated into limb actions). UnifoLM-VLA-0 (vision–language–action): a VLA for general-purpose humanoid manipulation, built on a UnifoLM-VLM base. Open-sourced on Unitree's GitHub (WMA-0 Sept 2025; VLA-0 Jan 2026). architecture on the DEPLOY registry.
What is UnifoLM's maturity stage?
UnifoLM is at the research stage on the DEPLOY maturity ladder. Research stage means active development without commercial deployments on file.

Sources (3)

  1. https://github.com/unitreerobotics/unifolm-world-model-action
  2. https://github.com/unitreerobotics/unifolm-vla
  3. https://www.yicaiglobal.com/news/chinas-unitree-open-sources-world-model-to-advance-robotics-ecosystem · 2025-09-16
Methodology: Verified · 3 sources (no primary) · last reviewed 2026-05-31

Verification posture

Verified

Low confidence

Review state

Stable

Last reviewed 2026-05-31

Maturity + lifecycle

Maturity stage: research

Sources by quality tier

2
code-repository
Code repository
1
unclassified
Unclassified source

The framework is documented at /methodology. Corrections at /corrections. Reviewer: DEPLOY editorial team.

Methodology surface for UnifoLM.

Canonical ID bf249a93-070c-4a71-aa11-3c0f30d4bd70