# Diffusion Policy: robot AI research model

Columbia University's visuomotor policy that formulates robot control as denoising diffusion. Achieves +46.9% improvement over prior methods. Open-source, widely adopted as a baseline for imitation learning.

- **Slug:** diffusion-policy
- **Type:** Research model
- **Maturity (DEPLOY ladder):** Research
- **Open source:** yes

## Architecture

Denoising diffusion for visuomotor control, receding horizon, time-series transformer


## Common questions

### What is Diffusion Policy?

Columbia University's visuomotor policy that formulates robot control as denoising diffusion. Achieves +46.9% improvement over prior methods. Open-source, widely adopted as a baseline for imitation learning.

### Is Diffusion Policy open source?

Yes. Diffusion Policy 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 Diffusion Policy?

Diffusion Policy is a research model, built on a Denoising diffusion for visuomotor control, receding horizon, time-series transformer architecture on the DEPLOY registry.

### What is Diffusion Policy's maturity stage?

Diffusion Policy is at the research stage on the DEPLOY maturity ladder. Research stage means active development without commercial deployments on file.

### Which robots run on Diffusion Policy?

No robot models on the DEPLOY registry are recorded as running Diffusion Policy. DEPLOY wires brain-to-model connections only when the wiring is verifiable from primary sources; absence may reflect pre-deployment or unverified manufacturer claims.


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