Ergonomic assessment of collaborative robot application based on IVIULWG operator

Abstract

BackgroundThe rapid advancement of robotic technology is transforming the manufacturing industry, with collaborative robots (Cobots) increasingly deployed to improve productivity and reduce ergonomic risks. However, ensuring ergonomic compatibility between Cobots and human operators remains a critical challenge.ObjectiveThis study aims to evaluate the ergonomic impact of Cobot integration in industrial settings by developing a comprehensive assessment framework covering physical, cognitive, and organizational ergonomics.MethodsAn ergonomic evaluation framework was proposed and implemented using the interval-valued intuitionistic uncertain fuzzy (IVIUF) method to accommodate both quantitative data and qualitative judgments. The interval-valued intuitionistic uncertain linguistic weighted geometric (IVIULWG) aggregation operator was used to combine objective and subjective information with improved robustness and accuracy.ResultsThe analysis revealed that dual-arm Cobots equipped with display interfaces exhibit superior ergonomic performance compared to other configurations. The IVIULWG approach effectively preserved and integrated both numerical measurements and linguistic assessments in the evaluation process.ConclusionsThe proposed methodology provides a scientifically rigorous and practical tool for the ergonomic evaluation of Cobots. These findings support more informed decisions in Cobot design and deployment, contributing to safer and more sustainable industrial operations.