PY
ENT-00002664 · AI Infrastructure

PyBullet

PyBullet is a AI infrastructure platform associated with Bullet Physics, classified in LXKeys.world as Robotics Simulation Infrastructure.

Level V PersistentActiveDocumented
Human record

Overview

PyBullet is a robotics or embodied intelligence entity associated with Bullet Physics. It is documented as physics simulation environment and belongs to the layer where AI software, sensors, control systems and physical embodiment meet.

Timeline

  1. 2017Initial public availability

    PyBullet entered the documented public record in 2017. This event is retained at the precision supported by the Entry’s reviewed source history.

Capabilities

Robotics documentationEmbodied intelligence mappingHardware-software contextAutonomous-system relationship mappingPublic source anchoring

Known limitations

Robotic capabilities depend on hardware configuration, operating environment and software version.Public demonstrations may not represent general autonomous performance.
Technical and structured detail

Technical description

Structured LXKeys.world registry record for PyBullet. Entity type: AI Infrastructure; classification: Robotics Simulation Infrastructure; creator/organization context: Bullet Physics. Canonical source anchor: https://pybullet.org/. The record tracks source authority, first public appearance, timeline, capabilities, limitations, registry status and graph relationships. Automatic refresh is limited to sources explicitly classified as OFFICIAL and enabled for updates; documentary and research references remain non-authoritative unless reviewed.

Controlled tags

RoboticsEmbodied AIAutonomous SystemsPhysical Intelligence
Relationship graph

PyBullet

Open in full graph
PyBullet
Associated organizationOutgoing
Bullet Physics

Bullet Physics is the organization, project community or institutional context associated with PyBullet.

Domain contextOutgoing
Robotics and embodied intelligence

PyBullet belongs to the Robotics and embodied intelligence layer of the intelligent-entity registry.

Machine readable layer

Structured entry data for human tools, AI systems and machine clients.

{
    "@context": [
        "https://schema.org",
        {
            "lxw": "https://lxkeys.world/schema/"
        }
    ],
    "@type": "Thing",
    "identifier": "ENT-00002664",
    "name": "PyBullet",
    "alternateName": [],
    "additionalType": {
        "category": "Platforms and Infrastructure",
        "type": "AI Infrastructure",
        "subtype": "",
        "lxkeysEntity": false
    },
    "description": "PyBullet is a AI infrastructure platform associated with Bullet Physics, classified in LXKeys.world as Robotics Simulation Infrastructure.",
    "creator": "Bullet Physics",
    "url": "https://lxkeys.world/entry.php?id=ENT-00002664&lang=en",
    "sameAs": "https://pybullet.org/",
    "image": "",
    "lxkeysWorld": {
        "worldId": "ENT-00002664",
        "kind": "Platforms and Infrastructure",
        "type": "AI Infrastructure",
        "subtype": "",
        "classification": "Robotics Simulation Infrastructure",
        "organization": "Bullet Physics",
        "originContext": "Robotics and embodied intelligence",
        "firstPublicAppearance": "2017",
        "currentStatus": "Active",
        "documentationStatus": "Documented",
        "documentationIndex": {
            "total": 82,
            "documentation": 25,
            "evidence": 13,
            "structure": 25,
            "relationships": 19,
            "level": "Level V Persistent"
        },
        "lxCalendarium": {
            "start_date_utc": "2023-04-01",
            "created_utc": "2026-06-17T01:48:33+00:00",
            "created_dypclt": "D-0 Y-2 P-3 C-3 L-22 T-4",
            "updated_utc": "2026-06-17T01:48:33+00:00",
            "updated_dypclt": "D-0 Y-2 P-3 C-3 L-22 T-4"
        },
        "facts": [],
        "capabilities": [
            "Robotics documentation",
            "Embodied intelligence mapping",
            "Hardware-software context",
            "Autonomous-system relationship mapping",
            "Public source anchoring"
        ],
        "limitations": [
            "Robotic capabilities depend on hardware configuration, operating environment and software version.",
            "Public demonstrations may not represent general autonomous performance."
        ],
        "tags": [
            "Robotics",
            "Embodied AI",
            "Autonomous Systems",
            "Physical Intelligence"
        ],
        "timeline": [
            {
                "date": "2017",
                "title": "Initial public availability",
                "description": "PyBullet entered the documented public record in 2017. This event is retained at the precision supported by the Entry’s reviewed source history.",
                "source_url": "https://pybullet.org/",
                "verification_status": "source_backed_official"
            }
        ],
        "relationships": [
            {
                "target": "Bullet Physics",
                "type": "Associated organization",
                "description": "Bullet Physics is the organization, project community or institutional context associated with PyBullet.",
                "evidence_level": "documentary"
            },
            {
                "target": "Robotics and embodied intelligence",
                "type": "Domain context",
                "description": "PyBullet belongs to the Robotics and embodied intelligence layer of the intelligent-entity registry.",
                "evidence_level": "documentary"
            }
        ],
        "sources": [
            {
                "label": "Official documentation",
                "url": "https://pybullet.org/",
                "source_type": "Official 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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