ENT-00001857 · Robotics Benchmark

RLBench

RLBench is a robot learning benchmark associated with Imperial College London.

Level IV — ConnectedActiveConnected

Human readable record

Overview

RLBench is a documented AI dataset or benchmark associated with Imperial College London. The record identifies its role in evaluation, training, measurement or comparison of intelligent systems, with emphasis on the source context and the type of capability it helps assess.

Timeline

2019RLBench public documentation anchor
RLBench appears in public documentation or stable reference sources as a robot learning benchmark associated with Imperial College London.

Capabilities

Reinforcement learningEmbodied evaluationResearch reference

Known limitations

The record describes the public identity and documented role of the entity, not private implementation details.Capabilities depend on version, deployment context, access conditions and the available public documentation.

Technical and registry detail

Technical description

Structured record for RLBench. The technical layer identifies entity type, classification, creator or organization, public source anchors, timeline entry, capabilities, limitations, registry status and graph relationships. Source anchor: https://github.com/stepjam/RLBench.

Controlled tags

RoboticsBenchmarkAgentic Systems

Relationship graph

RLBench

Published byImperial College London

RLBench is associated with Imperial College London through its documented source context.

Machine readable layer

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

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    "name": "RLBench",
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    "additionalType": "Robotics Benchmark",
    "description": "RLBench is a robot learning benchmark associated with Imperial College London.",
    "creator": "Imperial College London",
    "url": "entity.php?id=ENT-00001857",
    "sameAs": "https://github.com/stepjam/RLBench",
    "lxkeysWorld": {
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        "originContext": "Public AI and technical record",
        "firstPublicAppearance": "2019",
        "currentStatus": "Active",
        "registryStatus": "Connected",
        "spatiumIndex": {
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        "lxCalendarium": {
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            "created_utc": "2026-06-16T23:59:29+00:00",
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            "updated_utc": "2026-06-16T23:59:29+00:00",
            "updated_dypclt": "D-0 Y-2 P-3 C-3 L-21 T-3",
            "reviewed_utc": "2026-06-16T23:59:29+00:00",
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        },
        "capabilities": [
            "Reinforcement learning",
            "Embodied evaluation",
            "Research reference"
        ],
        "limitations": [
            "The record describes the public identity and documented role of the entity, not private implementation details.",
            "Capabilities depend on version, deployment context, access conditions and the available public documentation."
        ],
        "tags": [
            "Robotics",
            "Benchmark",
            "Agentic Systems"
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        "timeline": [
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