DEPLOYDatabase

Brain

Octo

Open-source generalist robot policy developed at UC Berkeley/Stanford. Transformer-based diffusion policy trained on 800K trajectories from the Open X-Embodiment dataset. Supports multi-robot and language-conditioned manipulation tasks. 27M and 93M parameter variants.

Research model · Maturity: Research · Open source

Machine-readable surfaces

Architecture

Transformer diffusion policy, 27M/93M params

Common questions

What is Octo?
Open-source generalist robot policy developed at UC Berkeley/Stanford. Transformer-based diffusion policy trained on 800K trajectories from the Open X-Embodiment dataset. Supports multi-robot and language-conditioned manipulation tasks. 27M and 93M parameter variants.
Is Octo open source?
Yes. Octo 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 Octo?
Octo is a research model, built on a Transformer diffusion policy, 27M/93M params architecture on the DEPLOY registry.
What is Octo's maturity stage?
Octo is at the research stage on the DEPLOY maturity ladder. Research stage means active development without commercial deployments on file.
Which robots run on Octo?
No robot models on the DEPLOY registry are recorded as running Octo. 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 Octo.

Canonical ID fe8e8e84-03cc-4745-8644-5729890a4103