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    "story_id": "mp-2026-09-26-010",
    "source_story_id": "tmp-story-revamp-vector-motion-planning",
    "edition_id": "mp-2026-09-26-morning-0079",
    "edition_url": "https://themachinepress.com/edition/2026-09-26",
    "position": 10,
    "story_type": "dispatch",
    "section": "robotics",
    "editorial_classification": "editorial",
    "headline": "Constrained Motion Plans Fell Into the Microsecond Range",
    "slug": "constrained-motion-plans-fell-into-the-microsecond-range",
    "dek": "ReVAMP reparameterized feasible motion through analytic inverse kinematics and ran up to ten times faster.",
    "summary": "ReVAMP reparameterized feasible motion through analytic inverse kinematics and ran up to ten times faster.",
    "body_text": "Constraints can leave valid robot configurations on a measure-zero surface that ordinary sampling struggles to hit. ReVAMP samples a reparameterized space where common end-effector constraints are satisfied by construction, then vectorizes planning around analytic inverse kinematics. The authors report microsecond-to-millisecond plans for systems up to 20 dimensions and complex constraints. Those speeds come from the evaluated kinematic families and do not establish the same advantage for every robot or collision scene.",
    "why_it_matters": "ReVAMP reparameterized feasible motion through analytic inverse kinematics and ran up to ten times faster.",
    "limitations": [
      "Those speeds come from the evaluated kinematic families and do not establish the same advantage for every robot or collision scene."
    ],
    "importance": 8,
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    "first_published_at": "2026-09-26T09:00:00.000-04:00",
    "modified_at": "2026-09-26T09:00:00.000-04:00",
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        "text": "ReVAMP reparameterized feasible motion through analytic inverse kinematics and ran up to ten times faster.",
        "source_ids": [
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        "qualification": "Those speeds come from the evaluated kinematic families and do not establish the same advantage for every robot or collision scene."
      }
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    "source_ids": [
      "source-2026-09-26-010"
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    "tags": [
      "motion planning",
      "inverse kinematics",
      "vectorization"
    ],
    "image_url": null,
    "corrections": []
  },
  "sources": [
    {
      "source_id": "source-2026-09-26-010",
      "title": "arXiv preprint 2609.30213",
      "publisher": "arXiv",
      "url": "https://arxiv.org/abs/2609.30213",
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      "source_type": "primary_research",
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      "published_at": "2026-09-24T13:45:26.000-04:00",
      "accessed_at": "2026-09-26T08:20:31.000-04:00",
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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": "Constrained Motion Plans Fell Into the Microsecond Range",
    "publisher": "The Machine Press",
    "published_at": "2026-09-26T09:00:00.000-04:00",
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