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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