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SRC-f21a565ed20c2f32 · Source record

LIBERO-Plus: In-depth Robustness Analysis of Vision-Language-Action Models

Original research authors / arXiv · 2 connected claims

D11 · AI Models, Agents & Human–AI InteractionD12 · Data, Knowledge, Search & EvidenceD14 · Cybersecurity, Identity, Privacy & ResilienceD19 · Measurement, Experimentation & EconomicsD24 · Frontier Science & Wildcards

Canonical route

https://arxiv.org/abs/2510.13626

Claims connected to this source

  1. MWITA-ER-2026-040LIBERO-Plus evaluates VLA robustness under controlled changes in object layout, camera viewpoint, robot initial state, language, lighting, background texture and sensor noise.Evidence A
  2. MWITA-ER-2026-041LIBERO-Plus reports that high aggregate VLA benchmark scores can coexist with material failures under realistic visual, language and sensor variation.Evidence A

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