{
  "id": 3860,
  "url": "https://arxiv.org/abs/2605.23733v3",
  "title": "Any2Any: Efficient Cross-Embodiment Transfer for Humanoid Whole-Body Tracking",
  "summary": "Whole-body tracking (WBT) models have become a key foundation for humanoid robots, enabling them to imitate diverse motions with high fidelity. Training such models from scratch requires large-scale data and computation, making rapid deployment on new humanoid platforms costly. This raises a natural question: Can pretrained WBT models transfer across embodiments with minimal adaptation? To answer this question, we propose Any2Any, a paradigm that efficiently transfers an existing WBT specialist ",
  "authors": "Ming Yang, Tao Yu, Feng Li, Hua Chen",
  "category": "research",
  "topics": "privacy-surveillance,agents-autonomy",
  "orgs": null,
  "regions": null,
  "published_at": "2026-05-22T15:10:42.000Z",
  "fetched_at": "2026-07-14T16:30:31.924Z",
  "source_slug": "arxiv-ethics",
  "source_name": "arXiv",
  "source_homepage": "https://arxiv.org",
  "ethics_ai_record_url": "https://ethics.ai/record/3860",
  "original_url": "https://arxiv.org/abs/2605.23733v3",
  "evidence_status": "source-only",
  "attribution": "via ethics.ai"
}