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    "headline": "The Humanoid Learns to Move With a Partner",
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    "dek": "A hierarchical controller conditions whole-body robot motion on a human partner and anticipates motion through temporary occlusion.",
    "summary": "A hierarchical controller conditions whole-body robot motion on a human partner and anticipates motion through temporary occlusion.",
    "body_text": "Social Humanoid uses a shared tokenized representation for human and robot movement, then a low-level controller executes the generated motion on a 29-degree-of-freedom Unitree G1. Adaptive retargeting across five motion-capture datasets yields a 260-hour interaction benchmark. The authors report coordinated behavior across varied interaction types in simulation and real-world demonstrations. The evidence concerns the released system and scenarios, not open-ended social understanding.",
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    "tags": [
      "humanoid robots",
      "human-robot interaction",
      "motion control"
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      "title": "arXiv preprint 2611.08407, original v1",
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