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    "story_id": "mp-2026-10-22-010",
    "source_story_id": "tmp-story-humanoid-moon-transfer",
    "edition_id": "mp-2026-10-22-morning-0104",
    "edition_url": "https://themachinepress.com/edition/2026-10-22",
    "position": 10,
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    "section": "robotics",
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    "headline": "An Earth-Trained Humanoid Stumbles on the Moon",
    "slug": "an-earth-trained-humanoid-stumbles-on-the-moon",
    "dek": "Simulations expose asymmetric transfer across gravity, terrain and soil—and show one randomized policy that remained broadly stable.",
    "summary": "Simulations expose asymmetric transfer across gravity, terrain and soil—and show one randomized policy that remained broadly stable.",
    "body_text": "On a simulated Unitree G1, Earth-trained policies retained 0.64 to 0.75 survival on flat rigid lunar ground, while Moon-trained policies could not stand when moved back to Earth. A released generalist controller reached at most 0.10 survival on the Moon. Rough-terrain training helped, and one policy randomized across gravity on resistive-force terrain achieved at least 0.84 mean survival at Earth gravity and 0.96 at lunar gravity across key tests. Every lunar result depends on simulation, contact assumptions and modeled soil stiffness.",
    "why_it_matters": "Simulations expose asymmetric transfer across gravity, terrain and soil—and show one randomized policy that remained broadly stable.",
    "limitations": [
      "On a simulated Unitree G1, Earth-trained policies retained 0.64 to 0.75 survival on flat rigid lunar ground, while Moon-trained policies could not stand when moved back to Earth."
    ],
    "importance": 8,
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    "first_published_at": "2026-10-22T09:00:00.000-04:00",
    "modified_at": "2026-10-22T09:00:00.000-04:00",
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        "text": "Simulations expose asymmetric transfer across gravity, terrain and soil—and show one randomized policy that remained broadly stable.",
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        "qualification": "On a simulated Unitree G1, Earth-trained policies retained 0.64 to 0.75 survival on flat rigid lunar ground, while Moon-trained policies could not stand when moved back to Earth."
      }
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    "source_ids": [
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    "tags": [
      "humanoids",
      "lunar robotics",
      "simulation"
    ],
    "image_url": null,
    "corrections": []
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  "sources": [
    {
      "source_id": "source-2026-10-22-010",
      "title": "arXiv preprint 2610.30080, original v1",
      "publisher": "arXiv",
      "url": "https://arxiv.org/abs/2610.30080v1",
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      "source_type": "primary_research",
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      "published_at": "2026-10-21T13:28:57.000-04:00",
      "accessed_at": "2026-10-22T08:26:13.404-04:00",
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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": "An Earth-Trained Humanoid Stumbles on the Moon",
    "publisher": "The Machine Press",
    "published_at": "2026-10-22T09:00:00.000-04:00",
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