Distributed Agent System: Fault-Tolerant Collaboration Among Embodied Agents
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
Record details
Published: 12 July 2026
Source: arXiv
Category: Research
Topics: Agents & autonomy · Environment
Retrieved: 14 July 2026
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ethics.ai (12 July 2026), “Distributed Agent System: Fault-Tolerant Collaboration Among Embodied Agents,” evidence record 31, https://ethics.ai/record/31 (originally published by arXiv).
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