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    "section": "robotics",
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    "headline": "The Robot Shortened Its Plan When the Prediction Wobbled",
    "slug": "the-robot-shortened-its-plan-when-the-prediction-wobbled",
    "dek": "Denoising-path geometry raised real-world success from 53.3% to 74.4% by adapting action-chunk length.",
    "summary": "Denoising-path geometry raised real-world success from 53.3% to 74.4% by adapting action-chunk length.",
    "body_text": "Vision-language-action policies usually commit to a fixed number of actions per query even though free motion and contact demand different feedback rates. GeoAAC reads geometric variation inside one flow-matching denoising trajectory as a reliability signal and chooses the executable prefix without retraining. Tests with GR00T N1.5 and π0.5 across LIBERO, LIBERO-Pro, RoboCasa365 and physical manipulation improved simulation results by as much as 8.7 percentage points. Average real-world success rose from 53.3% to 74.4% against fixed-horizon baselines.",
    "why_it_matters": "Denoising-path geometry raised real-world success from 53.3% to 74.4% by adapting action-chunk length.",
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    "importance": 8,
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    "modified_at": "2026-09-18T09:00:00.000-04:00",
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    "tags": [
      "vision-language-action",
      "action chunking",
      "flow matching"
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    {
      "source_id": "source-2026-09-18-006",
      "title": "arXiv preprint 2609.20776",
      "publisher": "arXiv",
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      "published_at": "2026-09-17T13:48:07.000-04:00",
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  "publisher": {
    "name": "The Machine Press",
    "url": "https://themachinepress.com",
    "description": "A daily newspaper for the age of artificial intelligence."
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  "cite_this_report": {
    "title": "The Robot Shortened Its Plan When the Prediction Wobbled",
    "publisher": "The Machine Press",
    "published_at": "2026-09-18T09:00:00.000-04:00",
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