LLM驱动的多智能体控制用于技能型智能制造
原标题：LLM-Driven Multi-Agent Control for Skill-Based Smart Manufacturing
AI 摘要
该论文提出一种面向技能型智能制造的LLM多智能体控制方案：每个工厂模块配备专用LLM智能体和MCP工具服务器，通过OPC UA方法调用暴露模块技能，智能体之间通过MQTT协调并实时注入工厂状态。作者在六模块六边形工厂仿真中对比编排式、点对点和单体式三种架构，在九个复杂度递增的生产挑战中，单体式和点对点架构平均解决率最高达93%，编排式架构则唯一在全部十次运行中自主重路由解决静默传送带故障。所有架构均无需显式故障处理逻辑即表现出涌现式故障诊断行为。
正文节选
LLM-Driven Multi-Agent Control for Skill-Based Smart Manufacturing Abstract Factories are shifting toward smaller lot sizes with high product customization, requiring frequent re-programming of flexible and reconfigurable automation systems. LLM-based agents can be deployed in two complementary roles: offline, they generate deterministic production sequences, reducing programming effort; online, they operate live machines and handle unforeseen runtime faults that static programs cannot anticipat