Applied Research
An Agentic AI Framework for Collaborative Manufacturing Environments
Abstract
This paper presents an agentic AI framework enabling collaborative manufacturing by integrating large language models for flexible, adaptive decision-making. It applies to manual assembly stations and advanced material research, shifting human roles from manual operators to supervisors, reducing development time, and enhancing system scalability. The framework supports modular, multi-tool integration, promoting Industry 5.0 goals of customization, agility, and intelligent automation.