# unitreerobotics/unifolm-world-model-action

Repository: https://github.com/unitreerobotics/unifolm-world-model-action
Canonical: https://ross.abutalabs.com/products/unifolm-world-model-action
Language: Python
License: NOASSERTION
License Family: other
Last push: 2026-03-18T13:35:32+00:00

## Health v2 (maintenance only)
Score: 50/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 72, release rhythm 35, longevity 25
- inputs: {"age_days": 355, "days_push": 168, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases, no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1109, forks 140 (observed 2026-08-28T04:03:37.209909+00:00)

## What it is
UnifoLM-WMA-0 is Unitree's open-source world-model-action framework for general-purpose robot learning across multiple robotic embodiments. Its world model serves as an interactive simulation engine for synthetic data generation and enhances action policies by predicting future robot-environment interactions.

## Use cases
- train a world model for robot manipulation
- generate synthetic training data for robot policies
- improve robot action decision-making with future prediction
- deploy learned policies on Unitree robot arms
- fine-tune a foundation model on Open-X robotics datasets

## When to choose
- you work with Unitree robots or similar embodiments
- you need a world model to simulate robot-environment interactions
- you want to combine video prediction with action policy learning

## When to avoid
- you need a lightweight general robotics simulator like MuJoCo or Isaac
- you have no GPU resources for training large models
- your project does not involve robot learning

## Facets
- artifact type: library
- maturity: active
- function: machine-learning, deep-learning, simulation, llm-training
- domain: robotics, machine-learning, artificial-intelligence, autonomous-vehicles
- platform: python
- tags: world-model, robot-learning, robot-policy, unitree, video-prediction, imitation-learning, linux, gpu

## Member repositories
- unitreerobotics/unifolm-world-model-action (main) score 50

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:03:37.209909+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T06:43:42.942315+00:00, confidence not recorded.
  - readme: https://github.com/unitreerobotics/unifolm-world-model-action (fetched 2026-08-28T04:03:37.209909+00:00, sha ddb602101ba9)
- Data as of 2026-08-30T08:39:29.467469+00:00.