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    "story_id": "mp-2026-11-09-003",
    "source_story_id": "tmp-story-agentic-manipulation-policies",
    "edition_id": "mp-2026-11-09-morning-0122",
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    "section": "robotics",
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    "headline": "The Generalist Took the Robot Controls",
    "slug": "the-generalist-took-the-robot-controls",
    "dek": "A single agent harness ran unchanged across single-arm, bimanual and mobile manipulation, outperforming specialist policies in the authors’ tests.",
    "summary": "A single agent harness ran unchanged across single-arm, bimanual and mobile manipulation, outperforming specialist policies in the authors’ tests.",
    "body_text": "AMP1 lets a general-purpose AI model command a manipulator directly and revise actions as a task unfolds, without demonstrations or task-specific training. The authors report 85.6 percent success on RoboLab-120, versus 49.2 and 42.9 percent for compared vision-language-action and world-action policies, plus 104 successes in 108 real-world trials across twelve tasks and three robot instances. A persistent memory reduced failure on a separate bimanual benchmark by 4.6 times relative to zero-shot deployment. Those results come from the paper’s benchmarks and hardware set; they do not establish general real-world reliability, but they challenge the assumption that manipulation needs a specialist policy for every setting.",
    "why_it_matters": "A single agent harness ran unchanged across single-arm, bimanual and mobile manipulation, outperforming specialist policies in the authors’ tests.",
    "limitations": [
      "Those results come from the paper’s benchmarks and hardware set; they do not establish general real-world reliability, but they challenge the assumption that manipulation needs a specialist policy for every setting."
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        "qualification": "Those results come from the paper’s benchmarks and hardware set; they do not establish general real-world reliability, but they challenge the assumption that manipulation needs a specialist policy for every setting."
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    "source_ids": [
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    "tags": [
      "robotics",
      "manipulation",
      "generalist agents"
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    {
      "source_id": "source-2026-11-09-003",
      "title": "arXiv preprint 2611.09892, original v1",
      "publisher": "arXiv",
      "url": "https://arxiv.org/abs/2611.09892v1",
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      "source_type": "primary_research",
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      "published_at": "2026-11-06T13:59:34.000-05:00",
      "accessed_at": "2026-11-09T08:25:54.496-05:00",
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    "name": "The Machine Press",
    "url": "https://themachinepress.com",
    "description": "A daily newspaper for the age of artificial intelligence."
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    "title": "The Generalist Took the Robot Controls",
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