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Unitree RoboticsChina2026

UnifoLM-WLA-1.0

An AI model: a vision-language-action model (VLA) takes camera images and an instruction and turns them into movements for a robot. This page describes the software, not a robot.

RobotsG1by Unitree Robotics A

Key figures as stated by the developer

6 of 6 stated
  • Model type ⁠A vision-language-action
  • Controls ⁠A arms and hands whole body
  • Inputs ⁠A camera language robot state
  • Access ⁠B open download
  • Parameters ⁠A 6,000,000,000
  • Base model ⁠A UnifoLM-ER-Flow
How to read the figures
14kgA30.9lbA
The letter in the grey square after a figure points to the source the figure came from. Robots with several sources carry several letters.
1,100mmB43.3inB
A dashed letter marks a secondary source – a datasheet, manual or developer documentation from the manufacturer, or a press report used only where the manufacturer gives no figure.
74.5lb
Imperial figures are our own conversion unless the manufacturer states an imperial figure itself. The source letter always belongs to the metric figure — a conversion has no source of its own.
Versions and notes in the key figures (6)

Model type

Developer wording: "6B VLA parameters".

Controls

"a single model coordinates 64 tasks spanning desktop manipulation and whole-body manipulation". "We partition the unified action space into three components: end-effector (EEF) poses, end-effector joints, and lower-body joints".

Inputs

Labels in the architecture diagram: "Image encoder Prompt State"

Access

GitHub release note: "we released the UnifoLM-WLA-1.0-Base and fine-tuning code"

Parameters

Unitree's total for the model: "general-purpose humanoid robot foundation model with 6B parameters"

Base model

"UnifoLM-WLA-1.0 builds on the UnifoLM-ER-Flow multimodal backbone and incorporates an MMDiT action expert". "Building on UnifoLM-ER-1, we introduce discrete action tokens and mask tokens for future dynamic regions". "Built on Qwen3-VL-4B, UnifoLM-ER-1 is trained on more than 5 million samples".

Full specifications

7 of 12 fields stated
The letter points to the source at the foot of the page. Fields without a figure are dashed: the developer does not state them — that is not the same as zero, and not the same as no.
Field Value Source and caveats
Input and output
Model typevision-language-actionA

Developer wording: "6B VLA parameters".

Inputscamera language robot stateA

Labels in the architecture diagram: "Image encoder Prompt State"

Controlsarms and hands whole bodyA

"a single model coordinates 64 tasks spanning desktop manipulation and whole-body manipulation". "We partition the unified action space into three components: end-effector (EEF) poses, end-effector joints, and lower-body joints".

Degrees of freedom controllednot stated
Size and speed
Parameters6,000,000,000A

Unitree's total for the model: "general-purpose humanoid robot foundation model with 6B parameters"

Control ratenot stated
Where it runs and what it is built on
Runs wherenot stated
Base modelUnifoLM-ER-FlowA

"UnifoLM-WLA-1.0 builds on the UnifoLM-ER-Flow multimodal backbone and incorporates an MMDiT action expert". "Building on UnifoLM-ER-1, we introduce discrete action tokens and mask tokens for future dynamic regions". "Built on Qwen3-VL-4B, UnifoLM-ER-1 is trained on more than 5 million samples".

Openness
Accessopen downloadB

GitHub release note: "we released the UnifoLM-WLA-1.0-Base and fine-tuning code"

LicenseApache License 2.0B

"this project is released under the Apache License 2.0"; the Hugging Face model page shows "License: apache-2.0".

The developer’s own claims
Learns new tasksnot stated
Works across robotsnot stated

Note Unitree reports "strong generalization across tasks and end effectors" and "Real-robot tests · Unitree G1". ⁠A

Yes only if the developer itself says the model runs on different robot models, for example robots from two manufacturers or two of one manufacturer’s models. Several units of the same robot do not count.

Notes

  • Unitree describes UnifoLM-WLA-1.0 as a comprehensively upgraded, next-generation general-purpose humanoid robot foundation model with 6B parameters.

Sources

One line per source, not per figure: a source has one retrieval date. The letter beside a figure points to the line it came from.