{
  "$schema": "https://themachinepress.com/schemas/story-v1.schema.json",
  "schema_version": "1.0.0",
  "document_type": "machine_press_story",
  "story": {
    "story_id": "mp-2026-07-11-013",
    "source_story_id": "tmp-story-groot-17-pipeline",
    "edition_id": "mp-2026-07-11-morning-0002",
    "edition_url": "https://themachinepress.com/edition/2026-07-11",
    "position": 13,
    "story_type": "dispatch",
    "section": "robotics",
    "editorial_classification": "editorial",
    "headline": "Humanoid Policy Work Gets One Continuous Pipeline",
    "slug": "humanoid-policy-work-gets-one-continuous-pipeline",
    "dek": "NVIDIA's open Isaac GR00T platform connects simulation, teleoperation, post-training, evaluation, and deployment around a new 3-billion-parameter model.",
    "summary": "NVIDIA's open Isaac GR00T platform connects simulation, teleoperation, post-training, evaluation, and deployment around a new 3-billion-parameter model.",
    "body_text": "NVIDIA introduced GR00T 1.7 and an end-to-end development path for humanoid robot policies. The Apache-2.0 model accepts images, language, and robot state before producing actions, while the surrounding workflow carries demonstrations from Isaac Teleop through LeRobot-formatted data, post-training, simulated evaluation, and deployment. NVIDIA says the model was pretrained on roughly 32,000 hours of real demonstrations and egocentric video plus 8,000 hours of simulated data. These are company-reported training and benchmark figures; physical reliability still depends on each robot, task, and safety process.",
    "why_it_matters": "NVIDIA's open Isaac GR00T platform connects simulation, teleoperation, post-training, evaluation, and deployment around a new 3-billion-parameter model.",
    "limitations": [],
    "importance": 7,
    "canonical_url": "https://themachinepress.com/story/mp-2026-07-11-013/humanoid-policy-work-gets-one-continuous-pipeline",
    "json_url": "https://themachinepress.com/story/mp-2026-07-11-013.json",
    "first_published_at": "2026-07-11T09:00:00.000-04:00",
    "modified_at": "2026-07-11T23:17:20.883-04:00",
    "content_status": "updated",
    "is_carryover": false,
    "carryover_reason": null,
    "key_claims": [
      {
        "claim_id": "claim-mp-2026-07-11-013-001",
        "text": "NVIDIA's open Isaac GR00T platform connects simulation, teleoperation, post-training, evaluation, and deployment around a new 3-billion-parameter model.",
        "source_ids": [
          "source-2026-07-11-013"
        ],
        "qualification": null
      }
    ],
    "source_ids": [
      "source-2026-07-11-013"
    ],
    "tags": [
      "humanoid robots",
      "GR00T",
      "simulation",
      "teleoperation",
      "robot policies"
    ],
    "image_url": null,
    "corrections": [
      {
        "correction_id": "correction-2026-07-11-001",
        "revision": 2,
        "summary": "Correction, July 11, 2026: An earlier automated version repeated five ticker briefs and nine dispatches from the July 10 edition. Those items were removed and replaced with previously unpublished editorial stories; the two front-page stories and three genuinely new dispatches were preserved.",
        "published_at": "2026-07-11T23:17:20.883-04:00",
        "affected_story_ids": [],
        "affected_claim_ids": []
      }
    ]
  },
  "sources": [
    {
      "source_id": "source-2026-07-11-013",
      "title": "NVIDIA: Develop humanoid robot policies end-to-end with Isaac GR00T",
      "publisher": "NVIDIA",
      "url": "https://developer.nvidia.com/blog/develop-humanoid-robot-policies-end-to-end-with-nvidia-isaac-gr00t/",
      "canonical_url": "https://developer.nvidia.com/blog/develop-humanoid-robot-policies-end-to-end-with-nvidia-isaac-gr00t/",
      "source_type": "official_documentation",
      "is_primary_source": true,
      "published_at": "2026-07-06T20:00:00.000-04:00",
      "accessed_at": "2026-07-11T12:30:00.000-04:00",
      "supports_claim_ids": [
        "claim-mp-2026-07-11-013-001"
      ]
    }
  ],
  "corrections": [
    {
      "correction_id": "correction-2026-07-11-001",
      "revision": 2,
      "summary": "Correction, July 11, 2026: An earlier automated version repeated five ticker briefs and nine dispatches from the July 10 edition. Those items were removed and replaced with previously unpublished editorial stories; the two front-page stories and three genuinely new dispatches were preserved.",
      "published_at": "2026-07-11T23:17:20.883-04:00",
      "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": "Humanoid Policy Work Gets One Continuous Pipeline",
    "publisher": "The Machine Press",
    "published_at": "2026-07-11T09:00:00.000-04:00",
    "canonical_url": "https://themachinepress.com/story/mp-2026-07-11-013/humanoid-policy-work-gets-one-continuous-pipeline"
  }
}