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.
Key figures as stated by the developer
6 of 6 stated-
Model type A
vision-language-action -
Controls A
arms and handswhole body -
Inputs A
cameralanguagerobot 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| Field | Value | Source and caveats |
|---|---|---|
| Input and output | ||
| Model type | vision-language-action | A Developer wording: "6B VLA parameters". |
| Inputs | camera language robot state | A Labels in the architecture diagram: "Image encoder Prompt State" |
| Controls | arms and hands whole body | A "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 controlled | not stated | |
| Size and speed | ||
| Parameters | 6,000,000,000 | A Unitree's total for the model: "general-purpose humanoid robot foundation model with 6B parameters" |
| Control rate | not stated | |
| Where it runs and what it is built on | ||
| Runs where | not stated | |
| Base model | UnifoLM-ER-Flow | A "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 | ||
| Access | open download | B GitHub release note: "we released the UnifoLM-WLA-1.0-Base and fine-tuning code" |
| License | Apache License 2.0 | B "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 tasks | not stated | |
| Works across robots | not 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
-
A
Manufacturer product page. unigen-x.
github. · Retrievedio/ unifolm-wla. github. io/ -
B
Secondary: github.
com/ · Retrievedunitreerobotics/ unifolm-wla
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.