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    "story_id": "mp-2026-10-22-019",
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    "section": "robotics",
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    "headline": "The Pouring Robot Estimates What the Camera Cannot See",
    "slug": "the-pouring-robot-estimates-what-the-camera-cannot-see",
    "dek": "FlowVLA tracks transferred mass from visual, joint, wrist-force and recurrent histories, then predicts residual outflow.",
    "summary": "FlowVLA tracks transferred mass from visual, joint, wrist-force and recurrent histories, then predicts residual outflow.",
    "body_text": "In coffee-pot and water tests, the controller reported 13.1 grams mean absolute error across goals; 53.7 percent of attempts both completed and landed within ten percent of the requested mass. The same model interpolated to held-out 150- and 250-gram targets. Results are task-specific and still leave substantial error.",
    "why_it_matters": "FlowVLA tracks transferred mass from visual, joint, wrist-force and recurrent histories, then predicts residual outflow.",
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    "tags": [
      "robotics",
      "pouring",
      "multimodal sensing"
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    "image_url": null,
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    {
      "source_id": "source-2026-10-22-021",
      "title": "arXiv preprint 2610.29692, original v1",
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      "published_at": "2026-10-21T09:07:39.000-04:00",
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    "title": "The Pouring Robot Estimates What the Camera Cannot See",
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