AL
ENT-00001232 · Intelligence robotique

ALOHA

ALOHA is a robotic system associated with Stanford, classified in LXKeys.world as Robotic / Embodied AI.

Niveau IV ConnectéActifDocumenté
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Vue d’ensemble

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.

Chronologie

  1. 2023Initial public introduction

    ALOHA entered the documented public record in 2023. This event is retained at the precision supported by the Entry’s reviewed source history.

Capacités

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

Limites connues

Capabilities depend on deployment context, validation environment and safety controls.The record describes public documentation and does not imply unrestricted availability.
Détail technique et structuré

Description technique

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.

Tags contrôlés

RoboticsEmbodied AIDocumented EntityContemporaryBatch 03 Candidate
Graphe relationnel

ALOHA

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ALOHA
Créé ou maintenu parSortante
Stanford

ALOHA is associated with Stanford.

Couche lisible par machine

Données structurées de l’entrée pour les outils humains, les systèmes IA et les clients machine.

{
    "@context": [
        "https://schema.org",
        {
            "lxw": "https://lxkeys.world/schema/"
        }
    ],
    "@type": "Thing",
    "identifier": "ENT-00001232",
    "name": "ALOHA",
    "alternateName": [],
    "additionalType": {
        "category": "Robotics and Embodied AI",
        "type": "Robotic Intelligence",
        "subtype": "",
        "lxkeysEntity": false
    },
    "description": "ALOHA is a robotic system associated with Stanford, classified in LXKeys.world as Robotic / Embodied AI.",
    "creator": "Stanford",
    "url": "https://lxkeys.world/entry.php?id=ENT-00001232&lang=fr",
    "sameAs": "https://tonyzhaozh.github.io/aloha/",
    "image": "",
    "lxkeysWorld": {
        "worldId": "ENT-00001232",
        "kind": "Robotics and Embodied AI",
        "type": "Robotic Intelligence",
        "subtype": "",
        "classification": "Robotic / Embodied AI",
        "organization": "Stanford",
        "originContext": "Scientific AI, robotics and embodied intelligence record",
        "firstPublicAppearance": "2023",
        "currentStatus": "Active",
        "documentationStatus": "Documented",
        "documentationIndex": {
            "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"
        },
        "facts": [],
        "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": [
            {
                "date": "2023",
                "title": "Initial public introduction",
                "description": "ALOHA entered the documented public record in 2023. This event is retained at the precision supported by the Entry’s reviewed source history.",
                "source_url": "https://tonyzhaozh.github.io/aloha/",
                "verification_status": "source_backed_official"
            }
        ],
        "relationships": [
            {
                "target": "Stanford",
                "type": "Created or maintained by",
                "description": "ALOHA is associated with Stanford.",
                "evidence_level": "documentary"
            }
        ],
        "sources": [
            {
                "label": "ALOHA official or research reference",
                "url": "https://tonyzhaozh.github.io/aloha/",
                "source_type": "Official or Research Source",
                "verification_status": "verified",
                "authority": "OFFICIAL",
                "role": "primary",
                "update_enabled": true,
                "authority_basis": "curated-corpus-refresh-2026-09-08"
            }
        ],
        "canonical": [],
        "imageMeta": []
    }
}
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