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Reliability

Humanoid Robot Task Success and Training Data

The two comparable Figure study points are kept separate from the AGIBOT factory aggregate. No fitted learning curve is displayed.

Source observations through 2026-10-11. Analysis revised separately.Open all humanoid data charts

Data summary

What is included

The two comparable Figure study points are kept separate from the AGIBOT factory aggregate. No fitted learning curve is displayed.

Visible rows

3

Dataset scope

TechniaHQRobot source-linked dataset

Interactive infographic

Humanoid Robot Task Success and Training Data

The two comparable Figure study points are kept separate from the AGIBOT factory aggregate. No fitted learning curve is displayed.

  1. Figure 02

    Software version
    Helix logistics scaling study
    Task
    Orient packages for barcode scanning on a moving conveyor
    Training data
    10 hours
    Reported success
    88.2 %
    Mean handling time (seconds)
    6.84 seconds
    Trials
    Not recorded
    Successes
    Not recorded
    Interventions
    Not recorded

    Exact trial count and confidence interval are not published in the cited article.

    Read source ↗

  2. Figure 02

    Software version
    Helix logistics scaling study
    Task
    Orient packages for barcode scanning on a moving conveyor
    Training data
    60 hours
    Reported success
    94.4 %
    Mean handling time (seconds)
    4.31 seconds
    Trials
    Not recorded
    Successes
    Not recorded
    Interventions
    Not recorded

    Comparable with the 10-hour point in the same official study; exact trial count and confidence interval are not public.

    Read source ↗

  3. AGIBOT humanoid fleet (models not specified)

    Software version
    Not disclosed
    Task
    Multiple factory workflows
    Training data
    Not recorded
    Reported success
    99.99 %
    Mean handling time (seconds)
    Not recorded
    Trials
    64,828
    Successes
    Not recorded
    Interventions
    Not recorded

    Report published June 29; exact test dates and models are not stated. The rounded company-reported rate cannot yield exact success/failure counts. Intervention frequency is not disclosed.

    Read source ↗

Accessible data table

The table contains the same source-linked records used by the chart. It is the reference when labels overlap or a visual scale compresses values.

Source-linked data used in the infographic
RobotTaskSoftware versionTest dateTrialsSuccessesFailuresInterventionsTraining data (hours)Reported success (%)Mean handling time (seconds)Success definitionProtocol groupRecord notesEvidenceSource
Figure 02Orient packages for barcode scanning on a moving conveyorHelix logistics scaling study2025-06-07Not recordedNot recordedNot recordedNot recorded10 hours88.2 %6.84 secondsPackage oriented so barcode can be scannedFigure logistics scaling studyExact trial count and confidence interval are not published in the cited article.Official announcementFigure official Helix logistics scaling studyPublished 2025-06-07Checked 2026-07-31
Figure 02Orient packages for barcode scanning on a moving conveyorHelix logistics scaling study2025-06-07Not recordedNot recordedNot recordedNot recorded60 hours94.4 %4.31 secondsPackage oriented so barcode can be scannedFigure logistics scaling studyComparable with the 10-hour point in the same official study; exact trial count and confidence interval are not public.Official announcementFigure official Helix logistics scaling studyPublished 2025-06-07Checked 2026-07-31
AGIBOT humanoid fleet (models not specified)Multiple factory workflowsNot disclosedNot recorded64,828Not recordedNot recordedNot recordedNot recorded99.99 %Not recordedAggregate task success as reported by companyAgiBot factory aggregateReport published June 29; exact test dates and models are not stated. The rounded company-reported rate cannot yield exact success/failure counts. Intervention frequency is not disclosed.Official announcementAgiBot official Longcheer factory-operation reportPublished 2026-06-29Checked 2026-10-11

Methodology

How the dataset is built

Only points from a compatible protocol may share a curve. The two Figure points belong to one controlled study; the AgiBot factory aggregate is displayed separately. Rounded rates are not reverse-engineered into exact counts.

Editorial analysis

Two endpoints show a reported change

The Figure logistics records report success rates of 88.2% and 94.4% at 10 and 60 training hours. Within that study, the difference is 6.2 percentage points. The records do not provide a complete sequence of intermediate results.

The trial counts are missing

Without the number of trials and individual outcomes, the table cannot calculate a defensible uncertainty interval. Two endpoints also cannot establish the shape of a learning curve or where additional training stops producing useful gains.

The factory aggregate answers another question

AGIBOT’s factory row covers multiple workflows under a different protocol. It should not be inserted into the Figure series. Its rounded percentage cannot be reversed into exact success and failure counts, even where an aggregate task total is given.

Frequently asked questions

Can the page predict success after more training?

No. Two comparable endpoints and a separate factory aggregate do not establish a predictive learning curve.

Sources

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