Development of a Virtual Industrial Robotics Laboratory with Real-Time Operating Capabilities Using Digital Twin Technology

The evolution of industrial robotics education, marked by the shift towards more interactive and accessible paradigms, underscores a significant gap in existing methodologies. To address this disparity, dynamic virtual environments and real-time operational capabilities are needed. In the past, approaches have faced challenges such as complex software integration and a lack of cohesive educational materials. In this paper, a novel Virtual Industrial Robotics Laboratory (VIRL) is presented to address the existing challenges. The proposed lab utilizes Digital Twin (DT) technology and OpenAI applications to redefine educational paradigms in mechatronics and robotics engineering. By tackling the challenges allied with the integration of complex software and the limited availability of instructional resources, the proposed approach presents a novel viewpoint on real-time operational capabilities and engaging learning experiences. The methodology spans deploying DT via RoboDK, IoT integration for cloud computing, and developing a secure, interactive dashboard. It emphasizes the importance of data security and remote control through a chatbot and aims to enrich the educational system. Anticipated outcomes focus on enhancing student engagement with industrial robots, facilitating remote education, and supporting research. Future work suggests exploring advanced data visualization and broadening the scope to meet Education 4.0 goals, preparing students for smart manufacturing and Industry 4.0 challenges.