{
  "id": 31,
  "url": "https://arxiv.org/abs/2607.10811v1",
  "title": "Distributed Agent System: Fault-Tolerant Collaboration Among Embodied Agents",
  "summary": "AI engineering is shifting from passive text generation by large language models (LLMs) to agent-driven task execution, creating new reliability challenges for long-horizon tasks under resource constraints and environmental uncertainty. Conventional error-elimination optimization strategies fail to address cumulative error propagation. This paper proposes Distributed Agent System (DAS), a device-edge-cloud framework for fault-tolerant collaboration among heterogeneous agents. We redefine agent r",
  "authors": "Kai Yu, Lu Chen, Hanqi Li",
  "category": "research",
  "topics": "agents-autonomy,environment",
  "orgs": null,
  "regions": null,
  "published_at": "2026-07-12T15:45:54.000Z",
  "fetched_at": "2026-07-14T14:14:15.664Z",
  "source_slug": "arxiv-ethics",
  "source_name": "arXiv",
  "source_homepage": "https://arxiv.org",
  "ethics_ai_record_url": "https://ethics.ai/record/31",
  "original_url": "https://arxiv.org/abs/2607.10811v1",
  "evidence_status": "source-only",
  "attribution": "via ethics.ai"
}