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    "story_id": "mp-2026-09-23-009",
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    "headline": "The Robot Anticipated Its Human Moving Partner",
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    "dek": "Predicting shared-object motion reduced effort in 108 collaborative transport trials.",
    "summary": "Predicting shared-object motion reduced effort in 108 collaborative transport trials.",
    "body_text": "PROACT combines a learned prediction of human collaborative behavior with compliant whole-body control for carrying a shared object. Across 108 real-world trials with a nine-degree-of-freedom mobile manipulator, it reduced mean interaction work by 59.2% against a compliance-only baseline and 20.4% against model-predictive control. Completion time also fell by 12.9% and 6.9%, respectively. The result applies to the study's dyadic transport tasks and hardware.",
    "why_it_matters": "Predicting shared-object motion reduced effort in 108 collaborative transport trials.",
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      "Across 108 real-world trials with a nine-degree-of-freedom mobile manipulator, it reduced mean interaction work by 59.2% against a compliance-only baseline and 20.4% against model-predictive control."
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        "qualification": "Across 108 real-world trials with a nine-degree-of-freedom mobile manipulator, it reduced mean interaction work by 59.2% against a compliance-only baseline and 20.4% against model-predictive control."
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    "tags": [
      "human-robot collaboration",
      "transport",
      "compliant control"
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  "sources": [
    {
      "source_id": "source-2026-09-23-009",
      "title": "arXiv preprint 2609.25351",
      "publisher": "arXiv",
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      "published_at": "2026-09-21T15:41:30.000-04:00",
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    "name": "The Machine Press",
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    "title": "The Robot Anticipated Its Human Moving Partner",
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