{
  "id": 1225,
  "url": "https://arxiv.org/abs/2606.10366v1",
  "title": "A Practical Recipe Towards Improving Sim-and-Real Correlation for VLA Evaluation",
  "summary": "Simulation has become an essential tool for evaluating and improving vision-language-action (VLA) policies, offering scalable, reproducible, and controllable alternatives to costly real-world robot evaluation. Recent simulation benchmarks have made substantial progress on realism and diversity, yet these platforms have not been widely adopted as reliable proxies for real-world policy evaluation. In this work, we investigate this issue through the lens of sim-and-real correlation. We conduct a sy",
  "authors": "Shuo Wang, Hanyuan Xu, Yingdong Hu, Fanqi Lin, Yang Gao",
  "category": "research",
  "topics": "regulation,agents-autonomy,finance-investment",
  "orgs": null,
  "regions": null,
  "published_at": "2026-06-09T03:25:02.000Z",
  "fetched_at": "2026-07-14T14:15:07.844Z",
  "source_slug": "arxiv-ethics",
  "source_name": "arXiv",
  "source_homepage": "https://arxiv.org",
  "ethics_ai_record_url": "https://ethics.ai/record/1225",
  "original_url": "https://arxiv.org/abs/2606.10366v1",
  "evidence_status": "source-only",
  "attribution": "via ethics.ai"
}