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Simulator-light diagnostics for VLA policy robustness.

Project description

vla-robustness-kit

vla-robustness-kit generates lightweight robustness diagnostics for vision-language-action policies. It perturbs task instructions, camera and lighting metadata, embodiment metadata, and task phase order, then reports failure clusters and follow-up data collection recommendations.

The default runner uses a deterministic mock policy. No simulator, GPU, or real robot is required for local tests.

These reports are diagnostics, not robot safety claims.

Quick start

python -m pip install -e .
vla-robustness-kit run examples/mock_episode_set --policy mock --out report.md

Output

The report includes:

  • Perturbation family pass rates.
  • Failure clusters.
  • Recommendations for additional data collection.
  • A clear diagnostic-only warning.

Project details


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