{
  "id": 9469588,
  "title": "Controlling Collectives of AI Agents in Reasoning Space with Spatial Transformers",
  "url": "https://urgent.news/2026/09/23/controlling-collectives-of-ai-agents-in-reasoning-space-with-spatial",
  "topic": "ai",
  "section": "AI",
  "published": "2026-09-23T15:08:35.000Z",
  "source": {
    "name": "arXiv cs.AI",
    "slug": "arxiv-cs-ai",
    "url": "https://arxiv.org/abs/2609.28247v1"
  },
  "original_language": "en",
  "account": null,
  "summary": "Large Language Models (LLMs) introduce an exciting new paradigm for planning and navigation in robotics, but fail on even simple multi-robot tasks as team sizes grow. We propose COMPASS, a scalable, decentralized multi-robot architecture for controlling large collectives of agentic robots with reasoning space feedback control. Feedback is generated locally on each robot by a spatial transformer…",
  "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."
}