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02 — Data · AI Model Performance

RDT-1B

Open weightsTsinghua University

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)

    13.5%

    Real robotGrade B · Paper or report with method (rubric or error bars)200 trialsALOHA · 4 tasks

    Clean dish 27%, sponge 24%, unzip 3%, fold 0%; 50 trials per task.

    Source: Benchmarking VLAs on ALOHA, arXiv 2511.11298 · Table 3, macro-average

  2. Robustness

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

    6.3%

    Real robotGrade B · Paper or report with method (rubric or error bars)200 trialsALOHA · unseen objects

    Unseen objects at random positions: 12%, 12%, 1%, 0%.

    Source: Benchmarking VLAs on ALOHA, arXiv 2511.11298 · Table 5 (mean of 4 tasks)

  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)

    Owed

    Not reported.

  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 RDT-1B

Published work that starts from RDT-1B: fine-tunes, add-ons and models trained from it. Their results are listed here, apart from RDT-1B's own values above, with the source each one comes from.

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