O
ENT-00001236 · Embodied AI System

Octo

Octo is a generalist robot policy associated with Octo Model authors.

Level IV — ConnectedActiveConnected
Human readable record

Overview

Octo is a generalist robot policy associated with Octo Model authors. The entity is documented for its role in scientific modelling, embodied intelligence, robotics, autonomous systems or domain-specific AI capability.

Timeline

  1. 2024Octo public release or documentation

    Octo appears in public documentation as a generalist robot policy associated with Octo Model authors.

Capabilities

Specialized AI task performanceDomain-specific modellingResearch or operational deploymentStructured public documentation

Known limitations

Capabilities depend on deployment context, validation environment and safety controls.The record describes public documentation and does not imply unrestricted availability.
Technical and registry detail

Technical description

Structured technical record for Octo. The record captures creator, release period, source anchors, operating domain, capability profile, limitations and relationships to scientific AI, embodied intelligence, autonomous operation or robotics infrastructure.

Controlled tags

RoboticsEmbodied AIBatch 03 Candidate
Relationship graph
Octo
Created or maintained byOcto Model authors

Octo is associated with Octo Model authors.

Machine readable layer

Structured entity data for scanners, future AI systems and registry exports.

{
    "@context": "https://schema.org",
    "@type": "Thing",
    "identifier": "ENT-00001236",
    "name": "Octo",
    "alternateName": [],
    "additionalType": "Embodied AI System",
    "description": "Octo is a generalist robot policy associated with Octo Model authors.",
    "creator": "Octo Model authors",
    "url": "entity.php?id=ENT-00001236",
    "sameAs": "https://octo-models.github.io/",
    "lxkeysWorld": {
        "classification": "Generalist robot policy",
        "organization": "Octo Model authors",
        "originContext": "Scientific AI, robotics and embodied intelligence record",
        "firstPublicAppearance": "2024",
        "currentStatus": "Active",
        "registryStatus": "Connected",
        "spatiumIndex": {
            "total": 74,
            "documentation": 25,
            "evidence": 13,
            "structure": 25,
            "relationships": 11,
            "level": "Level IV — Connected"
        },
        "lxCalendarium": {
            "start_date_utc": "2023-04-01",
            "created_utc": "2026-06-16T23:59:14+00:00",
            "created_dypclt": "D-0 Y-2 P-3 C-3 L-21 T-3",
            "updated_utc": "2026-06-16T23:59:14+00:00",
            "updated_dypclt": "D-0 Y-2 P-3 C-3 L-21 T-3",
            "reviewed_utc": "2026-06-16T23:59:14+00:00",
            "reviewed_dypclt": "D-0 Y-2 P-3 C-3 L-21 T-3"
        },
        "capabilities": [
            "Specialized AI task performance",
            "Domain-specific modelling",
            "Research or operational deployment",
            "Structured public documentation"
        ],
        "limitations": [
            "Capabilities depend on deployment context, validation environment and safety controls.",
            "The record describes public documentation and does not imply unrestricted availability."
        ],
        "tags": [
            "Robotics",
            "Embodied AI",
            "Batch 03 Candidate"
        ],
        "timeline": [
            {
                "date": "2024",
                "title": "Octo public release or documentation",
                "description": "Octo appears in public documentation as a generalist robot policy associated with Octo Model authors."
            }
        ],
        "relationships": [
            {
                "target": "Octo Model authors",
                "type": "Created or maintained by",
                "description": "Octo is associated with Octo Model authors.",
                "evidence_level": "documentary"
            }
        ],
        "sources": [
            {
                "label": "Octo official or research reference",
                "url": "https://octo-models.github.io/",
                "source_type": "Official or Research Source",
                "verification_status": "verified"
            }
        ]
    }
}
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