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  "story": {
    "story_id": "mp-2026-09-15-012",
    "source_story_id": "tmp-story-vehicle-video-vr-observer",
    "edition_id": "mp-2026-09-15-morning-0068",
    "edition_url": "https://themachinepress.com/edition/2026-09-15",
    "position": 12,
    "story_type": "dispatch",
    "section": "robotics",
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    "headline": "The Passenger Saw What the Physical Robot Saw",
    "slug": "the-passenger-saw-what-the-physical-robot-saw",
    "dek": "A live robot-to-VR link averaged 29.63-millisecond state updates and 2.28% route-progress error over 20 trials.",
    "summary": "A live robot-to-VR link averaged 29.63-millisecond state updates and 2.28% route-progress error over 20 trials.",
    "body_text": "Passenger-facing autonomous-vehicle studies often use simulated motion or scripted scenes. This framework links a physical ROS 2 robot vehicle to a Unity application on a VR headset, transmitting state and onboard video separately so the virtual vehicle mirrors real motion and exposes navigation decisions. Across 20 closed-loop trials, the authors report 29.63 ms mean state-update latency, 2.28% mean relative route-progress error, 10.006 video frames per second and 0.25% frame loss, with all monitored decisions reflected correctly. The laboratory-scale setup demonstrates synchronization, not passenger trust or road deployment.",
    "why_it_matters": "A live robot-to-VR link averaged 29.63-millisecond state updates and 2.28% route-progress error over 20 trials.",
    "limitations": [
      "The laboratory-scale setup demonstrates synchronization, not passenger trust or road deployment."
    ],
    "importance": 8,
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    "first_published_at": "2026-09-15T09:00:00.000-04:00",
    "modified_at": "2026-09-15T09:00:00.000-04:00",
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        "text": "A live robot-to-VR link averaged 29.63-millisecond state updates and 2.28% route-progress error over 20 trials.",
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        "qualification": "The laboratory-scale setup demonstrates synchronization, not passenger trust or road deployment."
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    "source_ids": [
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    "tags": [
      "autonomous vehicles",
      "virtual reality",
      "human factors"
    ],
    "image_url": null,
    "corrections": []
  },
  "sources": [
    {
      "source_id": "source-2026-09-15-012",
      "title": "arXiv preprint 2609.13224",
      "publisher": "arXiv",
      "url": "https://arxiv.org/abs/2609.13224",
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      "source_type": "primary_research",
      "is_primary_source": true,
      "published_at": "2026-09-13T20:00:00.000-04:00",
      "accessed_at": "2026-09-15T08:18:00.000-04:00",
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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": "The Passenger Saw What the Physical Robot Saw",
    "publisher": "The Machine Press",
    "published_at": "2026-09-15T09:00:00.000-04:00",
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