Human-AI Collaboration for Multi-Line Task Adjustment Using Local Large Language Models and a Digital Twin

US & West · 24 Sept

Automation systems must adapt to changing tasks, equipment states, and staffing conditions while providing evidence for human review. This study presents a multi-line task-adjustment system integrating a local large language model, a digital twin, and human decision-making.

Original headline

Human-AI Collaboration for Multi-Line Task Adjustment Using Local Large Language Models and a Digital Twin

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