Foundation-Model-Based Agents in Industrial Automation: Purposes, Capabilities, and Open Challenges

ArXi:2605.02592v1 Announce Type: new Foundation models, particularly large language models, are increasingly integrated into agent architectures for industrial tasks such as decision, process monitoring, and engineering automation. Yet evidence on their purposes, capabilities, and limitations remains fragmented across domains. This work examines how mature foundation-model-based agent systems are in industrial contexts, how their functional profile differs from conventional agent systems, and which limitations persist.