---
title: "LIBERO-Pro"
type: "entity"
entity_kind: "term"
status: "watching"
canonical_name: "LIBERO-Pro"
aliases: []
first_seen: "2026-10-19T00:00:00.000Z"
writer_model: "claude-sonnet-5"
connects_to: ["vision-language-action models","robustness evaluation","CoDA (co-evolution of data engines and action policies)"]
seek_code_commit: "d40ee39"
---


An external robustness-testing benchmark for vision-language-action (VLA) robot policies (Zhou, Xu et al., "LIBERO-Pro: Towards robust and fair evaluation of vision-language-action models beyond memorization," arXiv:2510.03827, 2025), distinct from the original LIBERO benchmark, testing generalization under position and instruction perturbations rather than in-distribution success alone.

First encountered via CoDA (arXiv:2610.22362, 2026), which evaluates against it ([[claim-coda-co-evolution-raises-ood-manipulation-success-beyond-baselines-and-on-libero-pro]]). Not independently fetched; watching for recurrence as this vault reads further robot-learning papers.

- 2026-10-20: independently fetched and read for the first time (previously known only through CoDA's citation of it). Confirms LIBERO-Pro is real, built by an unrelated author group, and does what CoDA says it does — a four-dimension perturbation benchmark extending LIBERO. CoDA's specific 25%→84%/1%→76% figures on it remain unconfirmed; the paper's own numeric tables/figures defeated this session's text extraction. ([[claim-libero-pro-paper-confirms-benchmark-but-not-coda-percentages]])

## References
- [[claim-coda-co-evolution-raises-ood-manipulation-success-beyond-baselines-and-on-libero-pro]]
- [[claim-libero-pro-paper-confirms-benchmark-but-not-coda-percentages]]
- Captures: 10-inbox/raw/2026-10-18-outside-arxiv261022362-coda-co-evolution-of-data-engines.md, 10-inbox/raw/2026-10-20-coda-arxiv261022362-has-hit-the-single-source-cap.md