{
  "id": 16704989,
  "title": "Pretraining Knows What, Simulation Teaches How: Compositional Generalization in a Sim-Trained Robot Agent",
  "url": "https://urgent.news/2026/10/26/pretraining-knows-what-simulation-teaches-how-compositional",
  "topic": "tech",
  "section": "Tech",
  "published": "2026-10-26T17:44:34.000Z",
  "source": {
    "name": "arXiv cs.AI",
    "slug": "arxiv-cs-ai",
    "url": "https://arxiv.org/abs/2610.35817v1"
  },
  "original_language": "en",
  "account": null,
  "summary": "A robot policy needs to understand what a task is asking for in a scene, and how to move the robot to accomplish that task. To achieve these two skills, we introduce Zero-real Agent Policy (ZAP), a recipe that teaches a small off-the-shelf vision-language model to control a robot via a simple tool harness. We use a pretrained 27B parameter model to bootstrap world understanding and reasoning,…",
  "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."
}