The digital twin has emerged as a technology to predict the undesirables, and ensure desired performance of complex systems. Although digital twins have got attention in the manufacturing research spectrum, yet their industrial application has been limited. Virtual simulations are considered an integral part of a digital twin, but a challenge is the lack of structured approaches to creating simulation models that can be extended as a digital twin. At the same time, the virtual models need to be accurate and flexible enough to be updated along the life cycle of the factory as desired in a digital twin. This paper presents a framework for virtual modeling of factories that can be extended as a digital twin. The case of a manufacturing company is presented to model and simulate a manufacturing system in a structured yet flexible way.
How to Integrate Digital Twin and Virtual Reality in Robotics Systems? Design and Implementation for Providing Robotics Maintenance Services in Data Centers
University of Twente（特文特大学）；Beijing Hanning Tech Co., Ltd（北京汉宁科技有限公司）
Multisource human-in-the-loop digital twin testbed for connected and autonomous vehicles in mixed traffic flow
School of Vehicle and Mobility, Tsinghua University（清华大学车辆与移动性学院）；Department of Civil and Environmental Engineering, University of Michigan（密歇根大学土木与环境工程系）
Sparse Attention-driven Quality Prediction for Production Process Optimization in Digital Twins
School of Mechanical and Electrical Engineering, Kunming University of Science and Technology（昆明理工大学机电工程学院）；School of Electrical and Data Engineering, University of Technology Sydney (UTS)（悉尼科技大学电气与数据工程学院）；Yunnan Key Laboratory of Intelligent Control and Application, Kunming University of Science and Technology（昆明理工大学云南省智能控制与应用重点实验室）；ChingMu Tech. Ltd.（清沐科技有限公司）；National Research Foundation, Singapore（新加坡国家研究基金会）；Infocomm Media Development Authority（新加坡资讯通信媒体发展管理局）；Defence Science Organisation (DSO) National Laboratories（新加坡国防科学组织国家实验室）；Singapore Ministry of Education (MOE)（新加坡教育部）；NTU Centre for Computational Technologies in Finance (NTU-CCTF)（南洋理工大学金融计算技术中心）
