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    "story_id": "mp-2026-09-17-014",
    "source_story_id": "tmp-story-forwarddlo-bimanual-rope-model",
    "edition_id": "mp-2026-09-17-morning-0070",
    "edition_url": "https://themachinepress.com/edition/2026-09-17",
    "position": 14,
    "story_type": "dispatch",
    "section": "robotics",
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    "headline": "The Rope Planner Scored Up to 22× More Actions",
    "slug": "the-rope-planner-scored-up-to-22-more-actions",
    "dek": "ForwardDLO turned cheap batched prediction into 98% simulated routing success at 30 hertz.",
    "summary": "ForwardDLO turned cheap batched prediction into 98% simulated routing success at 30 hertz.",
    "body_text": "Two robot arms controlling an unanchored rope face a combinatorial choice of grasp points, directions and magnitudes. ForwardDLO predicts segment displacement with a recurrent latent model grounded in the observed rope state at every step. It reduced open-loop error 13% below the strongest learned baseline and evaluated eight to 22 times more candidate actions within the same planning budget. In simulated routing at 30 hertz, throughput translated to 98% task success, versus at most 30% for comparison models at their own budgets. Real-world shape matching remained comparable to slower alternatives.",
    "why_it_matters": "ForwardDLO turned cheap batched prediction into 98% simulated routing success at 30 hertz.",
    "limitations": [],
    "importance": 8,
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    "first_published_at": "2026-09-17T09:00:00.000-04:00",
    "modified_at": "2026-09-17T09:00:00.000-04:00",
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    "source_ids": [
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    "tags": [
      "deformable objects",
      "bimanual manipulation",
      "model-based control"
    ],
    "image_url": null,
    "corrections": []
  },
  "sources": [
    {
      "source_id": "source-2026-09-17-014",
      "title": "arXiv preprint 2609.18455",
      "publisher": "arXiv",
      "url": "https://arxiv.org/abs/2609.18455",
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      "published_at": "2026-09-16T06:47:33.000-04:00",
      "accessed_at": "2026-09-17T08:28:34.205-04:00",
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  "publisher": {
    "name": "The Machine Press",
    "url": "https://themachinepress.com",
    "description": "A daily newspaper for the age of artificial intelligence."
  },
  "cite_this_report": {
    "title": "The Rope Planner Scored Up to 22× More Actions",
    "publisher": "The Machine Press",
    "published_at": "2026-09-17T09:00:00.000-04:00",
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