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    "story_id": "mp-2026-09-29-001",
    "source_story_id": "tmp-lead-dexroam-human-demonstrations",
    "edition_id": "mp-2026-09-29-morning-0082",
    "edition_url": "https://themachinepress.com/edition/2026-09-29",
    "position": 1,
    "story_type": "lead",
    "section": "robotics",
    "editorial_classification": "editorial",
    "headline": "Human Motion Doubled a Robot's Success Without Doubling Robot Data",
    "slug": "human-motion-doubled-a-robot-s-success-without-doubling-robot-data",
    "dek": "DexRoam kept locomotion, two-arm motion and finger dexterity coupled as demonstrations crossed embodiments.",
    "summary": "DexRoam kept locomotion, two-arm motion and finger dexterity coupled as demonstrations crossed embodiments.",
    "body_text": "DexRoam uses a consumer VR headset and head-mounted stereo camera to capture continuous whole-body human manipulation without external trackers. Three alignment stages map embodiment, action meaning and timing into a mobile bimanual robot's action space, allowing human and robot demonstrations to train standard vision-language-action policies together. In the authors' real-world tests, adding human demonstrations raised average success from 29% to 56% with GR00T N1.7 and from 32% to 57% with pi0.5; the system matched robot-only training while using half as many robot demonstrations. Those figures describe the reported tasks and backbones, not a general guarantee for dexterous robots.",
    "why_it_matters": "DexRoam kept locomotion, two-arm motion and finger dexterity coupled as demonstrations crossed embodiments.",
    "limitations": [
      "In the authors' real-world tests, adding human demonstrations raised average success from 29% to 56% with GR00T N1.7 and from 32% to 57% with pi0.5; the system matched robot-only training while using half as many robot demonstrations.",
      "Those figures describe the reported tasks and backbones, not a general guarantee for dexterous robots."
    ],
    "importance": 10,
    "canonical_url": "https://themachinepress.com/story/mp-2026-09-29-001/human-motion-doubled-a-robot-s-success-without-doubling-robot-data",
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    "first_published_at": "2026-09-29T09:00:00.000-04:00",
    "modified_at": "2026-09-29T09:00:00.000-04:00",
    "content_status": "new",
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        "text": "DexRoam kept locomotion, two-arm motion and finger dexterity coupled as demonstrations crossed embodiments.",
        "source_ids": [
          "source-2026-09-29-001"
        ],
        "qualification": "In the authors' real-world tests, adding human demonstrations raised average success from 29% to 56% with GR00T N1.7 and from 32% to 57% with pi0.5; the system matched robot-only training while using half as many robot demonstrations."
      }
    ],
    "source_ids": [
      "source-2026-09-29-001"
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    "tags": [
      "dexterous manipulation",
      "human demonstrations",
      "mobile robots"
    ],
    "image_url": "https://themachinepress.com/issues/2026-09-29/lead-dexroam-human-demonstrations.png",
    "corrections": []
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  "sources": [
    {
      "source_id": "source-2026-09-29-001",
      "title": "arXiv preprint 2609.35761",
      "publisher": "arXiv",
      "url": "https://arxiv.org/abs/2609.35761",
      "canonical_url": "https://arxiv.org/abs/2609.35761",
      "source_type": "primary_research",
      "is_primary_source": true,
      "published_at": "2026-09-28T13:59:10.000-04:00",
      "accessed_at": "2026-09-29T08:18:00.000-04:00",
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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": "Human Motion Doubled a Robot's Success Without Doubling Robot Data",
    "publisher": "The Machine Press",
    "published_at": "2026-09-29T09:00:00.000-04:00",
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