Conceptual Modeling for a Simulation-based Digital Twin in Human-Robot Collaboration

Abstract

The integration of human-robot collaboration is becoming a significant paradigm in modern manufacturing, driven by the advancements of Industry 4.0. Digital Twins (DTs) and simulation key technologies emerge as tools for enhancing collaboration contexts, offering models that improve decision-making and system adaptability. This paper presents the conceptual modeling of a multi-simulation-based DT system designed to improve task allocation between humans and robots in collaborative environments. Utilizing Unified Modeling Language (UML) diagrams, specifically use case and class diagrams, the study outlines user interactions and the system’s structural framework. The proposed architecture enables operators to interact with the DT through an intuitive interface, allowing for quick adjustments based on ergonomic and productivity considerations. This approach aims to enhance human-robot synergy, improve resource utilization, and contribute to the development of flexible and resilient manufacturing systems in the transition toward Industry 5.0.