{
  "id": 1310,
  "url": "https://arxiv.org/abs/2606.08414v1",
  "title": "PACT: Self-Evolving Physical Safety Alignment for Diffusion Policies in Embodied Manipulation",
  "summary": "Diffusion policies have achieved remarkable success in robotic manipulation, yet they often fail to satisfy strict physical constraints required for safe deployment. Existing approaches impose safety either prematurely during training or reactively via external guardrails at test time, limiting policy expressivity and overall scalability. We propose Physical safety Alignment for Constrained Trajectories (PACT), a self-evolving post-training framework that projects pretrained diffusion policies o",
  "authors": "Lingxuan Wu, Zijian Zhu, Lizhong Wang, Chengyang Ying, Huayu Chen, Xiao Yang et al.",
  "category": "research",
  "topics": "regulation,safety-alignment,agents-autonomy",
  "orgs": null,
  "regions": null,
  "published_at": "2026-06-07T02:27:53.000Z",
  "fetched_at": "2026-07-14T14:15:12.455Z",
  "source_slug": "arxiv-ethics",
  "source_name": "arXiv",
  "source_homepage": "https://arxiv.org",
  "ethics_ai_record_url": "https://ethics.ai/record/1310",
  "original_url": "https://arxiv.org/abs/2606.08414v1",
  "evidence_status": "source-only",
  "attribution": "via ethics.ai"
}