A
ENT-00001232 · Embodied AI System

ALOHA

ALOHA is a low-cost bimanual robot learning system associated with Stanford.

Level IV — ConnectedActiveStructured
Human readable record

Overview

ALOHA is a low-cost bimanual robot learning system associated with Stanford. The entity is documented for its role in scientific modelling, embodied intelligence, robotics, autonomous systems or domain-specific AI capability.

Timeline

  1. 2023ALOHA public release or documentation

    ALOHA appears in public documentation as a low-cost bimanual robot learning system associated with Stanford.

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 ALOHA. 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 AIDocumented EntityContemporaryBatch 03 Candidate
Relationship graph
ALOHA
Created or maintained byStanford

ALOHA is associated with Stanford.

Machine readable layer

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

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    "identifier": "ENT-00001232",
    "name": "ALOHA",
    "alternateName": [],
    "additionalType": "Embodied AI System",
    "description": "ALOHA is a low-cost bimanual robot learning system associated with Stanford.",
    "creator": "Stanford",
    "url": "entity.php?id=ENT-00001232",
    "sameAs": "https://tonyzhaozh.github.io/aloha/",
    "lxkeysWorld": {
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        "organization": "Stanford",
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        "firstPublicAppearance": "2023",
        "currentStatus": "Active",
        "registryStatus": "Structured",
        "spatiumIndex": {
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            "documentation": 25,
            "evidence": 13,
            "structure": 25,
            "relationships": 11,
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        "lxCalendarium": {
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            "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",
            "Documented Entity",
            "Contemporary",
            "Batch 03 Candidate"
        ],
        "timeline": [
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                "date": "2023",
                "title": "ALOHA public release or documentation",
                "description": "ALOHA appears in public documentation as a low-cost bimanual robot learning system associated with Stanford."
            }
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                "type": "Created or maintained by",
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                "verification_status": "verified"
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}
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