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    "story_id": "mp-2026-11-05-005",
    "source_story_id": "tmp-story-curobo-v2-fast",
    "edition_id": "mp-2026-11-05-morning-0118",
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    "section": "robotics",
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    "headline": "The Robot Plans Around Torque in 4.4 Milliseconds",
    "slug": "the-robot-plans-around-torque-in-4-4-milliseconds",
    "dek": "cuRoboV2-Fast combines B-spline optimization, differentiable inverse dynamics and traversal-time optimization for payload-aware motion.",
    "summary": "cuRoboV2-Fast combines B-spline optimization, differentiable inverse dynamics and traversal-time optimization for payload-aware motion.",
    "body_text": "With a three-kilogram payload on an RTX 5090, the authors report 4.4 milliseconds mean planning time, 14.7 times faster than cuRoboV2. Their Jetson AGX Orin implementation also plans faster than a cuRoboV1-plus-TOPPRA baseline running on an RTX 5090. In stereo-camera deployment on YAM, mean completed pick-and-drop cycles take 5.93 seconds, 34.6 percent shorter than cuRoboV2. The results concern the tested planner, hardware, payload and tasks; they do not establish collision-free performance for every robot or scene.",
    "why_it_matters": "cuRoboV2-Fast combines B-spline optimization, differentiable inverse dynamics and traversal-time optimization for payload-aware motion.",
    "limitations": [
      "The results concern the tested planner, hardware, payload and tasks; they do not establish collision-free performance for every robot or scene."
    ],
    "importance": 9,
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    "first_published_at": "2026-11-05T09:00:00.000-05:00",
    "modified_at": "2026-11-05T09:00:00.000-05:00",
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        "text": "cuRoboV2-Fast combines B-spline optimization, differentiable inverse dynamics and traversal-time optimization for payload-aware motion.",
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        "qualification": "The results concern the tested planner, hardware, payload and tasks; they do not establish collision-free performance for every robot or scene."
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    "source_ids": [
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    "tags": [
      "motion planning",
      "GPU",
      "robotics",
      "torque limits"
    ],
    "image_url": null,
    "corrections": []
  },
  "sources": [
    {
      "source_id": "source-2026-11-05-005",
      "title": "arXiv preprint 2611.06913, original v1",
      "publisher": "arXiv",
      "url": "https://arxiv.org/abs/2611.06913v1",
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      "published_at": "2026-11-04T13:58:20.000-05:00",
      "accessed_at": "2026-11-05T08:29:24.413-05:00",
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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 Plans Around Torque in 4.4 Milliseconds",
    "publisher": "The Machine Press",
    "published_at": "2026-11-05T09:00:00.000-05:00",
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