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02 — Data · AI Model Performance

Wall-X

Open weightsX Square Robot

2 of 6 axes published · values checked against their primary sources on 23 Oct 2026

  1. Success

    Does it do the trained task? (% of trials, trained setup)

    51.3%

    Real robotGrade B · Paper or report with method (rubric or error bars)80 trialsSO-101 · 4 tasks

    Pen transfer 95%, colour sorting 0%, packing 30%, pen placement 80%; 20 trials per task.

    Source: SO-101 VLA benchmark, arXiv 2606.08881 · Results table, average

  2. Robustness

    Does it survive the cell drifting? (% under the perturbation set)

    Owed

    Not reported.

  3. Instruction

    Does rewording the instruction break it? (% under paraphrase)

    Owed

    Not reported.

  4. Recovery

    Does it fix its own mistakes? (% of injected failures recovered)

    20.5%

    Real robotGrade B · Paper or report with method (rubric or error bars)SO-101

    Share of failures recovered without help.

    Source: SO-101 VLA benchmark, arXiv 2606.08881 · Recovery results

  5. Speed

    Is it as fast as a trained person? (human cycle time ÷ robot cycle time)

    Owed

    Not reported.

  6. Interventions

    How often does a person step in? (per 1,000 cycles)

    Owed

    Not reported.

Built on Wall-X

Published work that starts from Wall-X: fine-tunes, add-ons and models trained from it. Their results are listed here, apart from Wall-X's own values above, with the source each one comes from.

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