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    "story_id": "mp-2026-09-22-010",
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    "headline": "The Robot’s Camera Could Be Clear and Still Mislead",
    "slug": "the-robot-s-camera-could-be-clear-and-still-mislead",
    "dek": "A benchmark exposed failures from stale views and disrupted interaction cues.",
    "summary": "A benchmark exposed failures from stale views and disrupted interaction cues.",
    "body_text": "LIBERO-VPro perturbs what robot foundation models see while they act, testing degraded evidence, stale cameras, inconsistent sources and task-relevant scene changes. The authors built 96 experimental settings and 3,296 task-condition cases, evaluated six model families in roughly 196,000 simulated episodes and added 200 real-world rollouts. Some models tolerated severe object occlusion yet failed when local interaction cues were disrupted. The results show that clean-image benchmark scores can hide weaknesses in closed-loop control, though performance varies by model and perturbation.",
    "why_it_matters": "A benchmark exposed failures from stale views and disrupted interaction cues.",
    "limitations": [],
    "importance": 8,
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    "modified_at": "2026-09-22T09:00:00.000-04:00",
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    "tags": [
      "robotics",
      "visual robustness",
      "benchmarks"
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    "image_url": null,
    "corrections": []
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  "sources": [
    {
      "source_id": "source-2026-09-22-010",
      "title": "arXiv preprint 2609.24350",
      "publisher": "arXiv",
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      "published_at": "2026-09-21T05:43:41.000-04:00",
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    "description": "A daily newspaper for the age of artificial intelligence."
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  "cite_this_report": {
    "title": "The Robot’s Camera Could Be Clear and Still Mislead",
    "publisher": "The Machine Press",
    "published_at": "2026-09-22T09:00:00.000-04:00",
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