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Distributed Agent System: Fault-Tolerant Collaboration Among Embodied Agents

2026-07-12 15:45:54
Kai Yu, Lu Chen, Hanqi Li
arXiv_AI
               
Abstract

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 reliability as system-level fault tolerance rather than single-turn zero-error accuracy, and present a two-layer fault-tolerance architecture: single-agent execution reliability via fault-tolerant alignment, and cross-agent communication reliability via semi-formal language protocols. This framework provides a practical engineering pathway for reliable heterogeneous embodied agents collaboration in industrial scenarios.

Abstract (translated)

URL

https://arxiv.org/abs/2607.10811

PDF

https://arxiv.org/pdf/2607.10811.pdf

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