{
  "id": 476,
  "url": "https://arxiv.org/abs/2606.29209v1",
  "title": "AnyBody: Free-Form Whole-Body Humanoid Control from Arbitrary Keypoint Guidance",
  "summary": "We present AnyBody, a unified whole-body humanoid controller driven by an arbitrary subset of body keypoints chosen at deploy time. Prior physics-based trackers either rely on expensive full-body motion capture and error-prone trajectory retargeting, which bottleneck scalable data collection and policy learning, or decompose upper- and lower-body control into separate hierarchical representations, sacrificing the coordinated whole-body motions that loco-manipulation requires. We close this gap b",
  "authors": "Shuning Li, Sikai Li, Jiachen Li, Mingyu Ding",
  "category": "research",
  "topics": "regulation",
  "orgs": null,
  "regions": null,
  "published_at": "2026-06-28T05:20:37.000Z",
  "fetched_at": "2026-07-14T14:14:32.649Z",
  "source_slug": "arxiv-ethics",
  "source_name": "arXiv",
  "source_homepage": "https://arxiv.org",
  "ethics_ai_record_url": "https://ethics.ai/record/476",
  "original_url": "https://arxiv.org/abs/2606.29209v1",
  "evidence_status": "source-only",
  "attribution": "via ethics.ai"
}