{
  "id": 17183153,
  "title": "Gym-Anything for Robotics: Scaling physical simulations with digital agents",
  "url": "https://urgent.news/2026/10/29/gym-anything-for-robotics-scaling-physical-simulations-with-digital",
  "topic": "ai",
  "section": "AI",
  "published": "2026-10-29T17:42:32.000Z",
  "source": {
    "name": "arXiv cs.AI",
    "slug": "arxiv-cs-ai",
    "url": "https://arxiv.org/abs/2610.40565v1"
  },
  "original_language": "en",
  "account": null,
  "summary": "Realistic, fast robotics simulations could enable large-scale training of embodied AI models that transfer to the real world. However, despite decades of progress, available simulations cover only a narrow range of real-world tasks and physical phenomena. The core bottleneck is that creating better simulations requires significant expert effort and therefore does not scale. To address this, we…",
  "key_points": [],
  "editors_take": null,
  "illustration": null,
  "coverage": {
    "outlets": 1,
    "also_reported_by": []
  },
  "ai_generated": true,
  "disclaimer": "Summaries, key points and the editor’s take are written by software from other outlets’ reporting and may contain errors — always check the linked original."
}