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  "story": {
    "story_id": "mp-2026-11-02-013",
    "source_story_id": "tmp-story-roof-humanoid-recovery",
    "edition_id": "mp-2026-11-02-morning-0115",
    "edition_url": "https://themachinepress.com/edition/2026-11-02",
    "position": 13,
    "story_type": "dispatch",
    "section": "robotics",
    "editorial_classification": "editorial",
    "headline": "The Fallen Humanoid Learns to Make Room First",
    "slug": "the-fallen-humanoid-learns-to-make-room-first",
    "dek": "ROOF rewards a robot for reducing overlap with an overhead obstacle before standing, lifting simulated recovery from 18.9 to 88.5 percent in one setting.",
    "summary": "ROOF rewards a robot for reducing overlap with an overhead obstacle before standing, lifting simulated recovery from 18.9 to 88.5 percent in one setting.",
    "body_text": "A humanoid trapped beneath furniture cannot simply execute a standard stand-up motion; it must create clearance while building stable support. ROOF supplies contact-supported geometric guidance that rewards reducing robot-obstacle overlap without prescribing an escape path, then combines it with a learned motion prior and posture-aware support and joint-stall costs. In simulation beneath lift-only plates, recovery reached 88.5 percent versus 18.9 percent without the geometric guidance; beneath freely moving randomized plates it reached 98.6 percent. A Unitree G1 recovered in 95 of 150 attempts across seven real obstacle scenes. The real-world success rate also shows the remaining gap, and the policy was tested on one hardware platform.",
    "why_it_matters": "ROOF rewards a robot for reducing overlap with an overhead obstacle before standing, lifting simulated recovery from 18.9 to 88.5 percent in one setting.",
    "limitations": [
      "A humanoid trapped beneath furniture cannot simply execute a standard stand-up motion; it must create clearance while building stable support.",
      "In simulation beneath lift-only plates, recovery reached 88.5 percent versus 18.9 percent without the geometric guidance; beneath freely moving randomized plates it reached 98.6 percent."
    ],
    "importance": 8,
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    "first_published_at": "2026-11-02T09:00:00.000-05:00",
    "modified_at": "2026-11-02T09:00:00.000-05:00",
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    "carryover_reason": null,
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        "text": "ROOF rewards a robot for reducing overlap with an overhead obstacle before standing, lifting simulated recovery from 18.9 to 88.5 percent in one setting.",
        "source_ids": [
          "source-2026-11-02-013"
        ],
        "qualification": "A humanoid trapped beneath furniture cannot simply execute a standard stand-up motion; it must create clearance while building stable support."
      }
    ],
    "source_ids": [
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    "tags": [
      "humanoid robots",
      "fall recovery",
      "reinforcement learning",
      "contact"
    ],
    "image_url": "https://themachinepress.com/issues/2026-11-02/robot-recovery.webp",
    "corrections": []
  },
  "sources": [
    {
      "source_id": "source-2026-11-02-013",
      "title": "arXiv preprint 2610.42097, original v1",
      "publisher": "arXiv",
      "url": "https://arxiv.org/abs/2610.42097v1",
      "canonical_url": "https://arxiv.org/abs/2610.42097v1",
      "source_type": "primary_research",
      "is_primary_source": true,
      "published_at": "2026-10-30T13:41:32.000-04:00",
      "accessed_at": "2026-11-02T08:25:20.000-05:00",
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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 Fallen Humanoid Learns to Make Room First",
    "publisher": "The Machine Press",
    "published_at": "2026-11-02T09:00:00.000-05:00",
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