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Brain

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.

Research model · Maturity: Research · Open source


Machine-readable surfaces

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.
Methodology: Claimed (not independently verified) · no sources on file · last reviewed 2026-08-23

Verification posture

Claimed (not independently verified)

Low confidence

Review state

Stable

Last reviewed 2026-08-23

Maturity + lifecycle

Maturity stage: research

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

Methodology surface for Diffusion Policy.

Canonical ID 4bfb24fe-bf26-4ef0-b02a-79df81b7fc87