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섬유산업 무인 생산 자동화를 위한 로봇 활용 기술 연구

Research on Robot Application Technology for Unmanned Production Automation in the Textile Industry

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This study presents a phased robotic automation strategy for the textile industry to achieve fully unmanned production. Key textile processes were identified across upstream, midstream, and downstream stages, and standard process models were developed to enable robotic substitution of manual tasks. To address challenges in integrating legacy textile machinery with advanced robots, a robot-equipment integration framework was established, including interface design for synchronized operation. The study further incorporates advanced robotic technologies such as AI-based quality prediction, smart grippers for flexible materials, vision systems for grasp point detection, and AR/VR-based operator guidance. Robot task feasibility and cycle times were verified through DELMIA and Delfoi Robotics simulations, and economic viability was evaluated via ROI analysis. Field demonstrations confirmed improved productivity, reduced defects, and enhanced operational safety. The proposed approach offers a scalable solution for smart manufacturing and digital transformation in the textile sector.

Abstract

This study presents a phased robotic automation strategy for the textile industry to achieve fully unmanned production. Key textile processes were identified across upstream, midstream, and downstream stages, and standard process models were developed to enable robotic substitution of manual tasks. To address challenges in integrating legacy textile machinery with advanced robots, a robot-equipment integration framework was established, including interface design for synchronized operation. The study further incorporates advanced robotic technologies such as AI-based quality prediction, smart grippers for flexible materials, vision systems for grasp point detection, and AR/VR-based operator guidance. Robot task feasibility and cycle times were verified through DELMIA and Delfoi Robotics simulations, and economic viability was evaluated via ROI analysis. Field demonstrations confirmed improved productivity, reduced defects, and enhanced operational safety. The proposed approach offers a scalable solution for smart manufacturing and digital transformation in the textile sector.

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