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02 — Data · AI Model Performance

Xiaomi-Robotics-0

Open weightsXiaomi

3 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)

    98.1%

    SimulationGrade B · Paper or report with method (rubric or error bars)LIBERO clean

    Highest clean LIBERO score of the six models tested, simulation.

    Source: IndustrialVLA-Bench, arXiv 2609.25562 · Table 2

  2. Robustness

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

    73.9%

    SimulationGrade B · Paper or report with method (rubric or error bars)LIBERO-Plus

    Non-language perturbations, simulation.

    Source: IndustrialVLA-Bench, arXiv 2609.25562 · Table 3

  3. Instruction

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

    75.7%

    SimulationGrade B · Paper or report with method (rubric or error bars)LIBERO-Para

    Paraphrased instructions, 22.4 points below clean.

    Source: IndustrialVLA-Bench, arXiv 2609.25562 · Table 4

  4. Recovery

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

    Owed

    Not reported.

  5. Speed

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

    Owed

    No human comparison. 25.4 ms per policy call (Table 5).

    Checked: IndustrialVLA-Bench, arXiv 2609.25562

  6. Interventions

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

    Owed

    Not reported.

Built on Xiaomi-Robotics-0

Published work that starts from Xiaomi-Robotics-0: fine-tunes, add-ons and models trained from it. Their results are listed here, apart from Xiaomi-Robotics-0's own values above, with the source each one comes from.

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