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  "story": {
    "story_id": "mp-2026-10-12-003",
    "source_story_id": "tmp-story-splat2act-personalized-manipulation",
    "edition_id": "mp-2026-10-12-morning-0094",
    "edition_url": "https://themachinepress.com/edition/2026-10-12",
    "position": 3,
    "story_type": "dispatch",
    "section": "robotics",
    "editorial_classification": "editorial",
    "headline": "A Phone Scan Became the Robot’s Training Ground",
    "slug": "a-phone-scan-became-the-robot-s-training-ground",
    "dek": "Splat2Act builds scene-specific practice from captured rooms and the user’s own objects.",
    "summary": "Splat2Act builds scene-specific practice from captured rooms and the user’s own objects.",
    "body_text": "A generalist manipulation policy recorded zero pickup success in the authors’ captured deployment scenes before adaptation. Splat2Act uses a phone scan and object images to build a digital twin, discover reachable placement surfaces and generate successful simulated demonstrations. Across 101 campus environments, the pipeline produced more than 68,000 demonstrations. The strongest personalized policy reached 62.5% aggregate pickup success in its target scene. On a real Stretch 3 robot, it achieved 63.9% on a 12-task subset. The result supports scene-specific adaptation from simulated practice; it does not establish reliable manipulation in arbitrary homes.",
    "why_it_matters": "Splat2Act builds scene-specific practice from captured rooms and the user’s own objects.",
    "limitations": [
      "The result supports scene-specific adaptation from simulated practice; it does not establish reliable manipulation in arbitrary homes."
    ],
    "importance": 9,
    "canonical_url": "https://themachinepress.com/story/mp-2026-10-12-003/a-phone-scan-became-the-robot-s-training-ground",
    "json_url": "https://themachinepress.com/story/mp-2026-10-12-003.json",
    "first_published_at": "2026-10-12T09:00:00.000-04:00",
    "modified_at": "2026-10-12T09:48:10.481-04:00",
    "content_status": "updated",
    "is_carryover": false,
    "carryover_reason": null,
    "key_claims": [
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        "text": "Splat2Act builds scene-specific practice from captured rooms and the user’s own objects.",
        "source_ids": [
          "source-2026-10-12-003"
        ],
        "qualification": "The result supports scene-specific adaptation from simulated practice; it does not establish reliable manipulation in arbitrary homes."
      }
    ],
    "source_ids": [
      "source-2026-10-12-003"
    ],
    "tags": [
      "real-to-sim-to-real",
      "personalization",
      "robot-learning",
      "preprint"
    ],
    "image_url": "https://themachinepress.com/issues/2026-10-12/splat2act-robot-arm.webp",
    "corrections": [
      {
        "correction_id": "correction-2026-10-12-001",
        "revision": 2,
        "summary": "Publication note: The October 12, 2026 edition was prepared and published late on October 12 after the scheduled newsroom task could not start. The edition retains its October 12 date and 9:00 AM America/Detroit reveal time. Reports use sources available before that cutoff; actual preparation and image-generation times are preserved in the provenance records.",
        "published_at": "2026-10-12T09:48:10.481-04:00",
        "affected_story_ids": [],
        "affected_claim_ids": []
      }
    ]
  },
  "sources": [
    {
      "source_id": "source-2026-10-12-003",
      "title": "arXiv preprint 2610.13945, original v1",
      "publisher": "arXiv / submitting research authors",
      "url": "https://arxiv.org/abs/2610.13945v1",
      "canonical_url": "https://arxiv.org/abs/2610.13945v1",
      "source_type": "primary_research",
      "is_primary_source": true,
      "published_at": "2026-10-09T13:59:06.000-04:00",
      "accessed_at": "2026-10-12T09:32:36.246-04:00",
      "supports_claim_ids": [
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    }
  ],
  "corrections": [
    {
      "correction_id": "correction-2026-10-12-001",
      "revision": 2,
      "summary": "Publication note: The October 12, 2026 edition was prepared and published late on October 12 after the scheduled newsroom task could not start. The edition retains its October 12 date and 9:00 AM America/Detroit reveal time. Reports use sources available before that cutoff; actual preparation and image-generation times are preserved in the provenance records.",
      "published_at": "2026-10-12T09:48:10.481-04:00",
      "affected_story_ids": [],
      "affected_claim_ids": []
    }
  ],
  "publisher": {
    "name": "The Machine Press",
    "url": "https://themachinepress.com",
    "description": "A daily newspaper for the age of artificial intelligence."
  },
  "cite_this_report": {
    "title": "A Phone Scan Became the Robot’s Training Ground",
    "publisher": "The Machine Press",
    "published_at": "2026-10-12T09:00:00.000-04:00",
    "canonical_url": "https://themachinepress.com/story/mp-2026-10-12-003/a-phone-scan-became-the-robot-s-training-ground"
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}