{
  "id": 11083810,
  "title": "Belief-Aware Multi-Agent Path Finding under Map Uncertainty",
  "url": "https://urgent.news/2026/09/30/belief-aware-multi-agent-path-finding-under-map-uncertainty",
  "topic": "ai",
  "section": "AI",
  "published": "2026-09-30T17:44:19.000Z",
  "source": {
    "name": "arXiv cs.AI",
    "slug": "arxiv-cs-ai",
    "url": "https://arxiv.org/abs/2609.40269v1"
  },
  "original_language": "en",
  "account": null,
  "summary": "Multi-Agent Path Finding (MAPF) aims to find collision-free paths for multiple agents in a shared environment. Classical MAPF assumes that all static obstacles are known in advance, but real-world environments can change unexpectedly due to fallen objects, spills, or other local disturbances. When such changes are spatially correlated, an observation can inform traversability estimates beyond the…",
  "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."
}