Integrating Digital Twin Software Solutions with Collaborative Industrial Systems: A Comprehensive Review for Operational Efficiency
Source abstract
Abstract
The integration of digital twin software solutions with industrial collaborative robotics applications has gained significant attention due to its potential to enhance operational efficiency in various industries. The authors of this paper provide a comprehensive review of the literature, analyzing the benefits, challenges, and opportunities associated with this unification. The research methodology incorporates both quantitative and qualitative analyses of relevant scholarly articles, case studies, and industry reports. The study identifies research gaps and challenges, including data management, security, scalability, interoperability, and transitioning simulations to digital twins. To address these gaps, the authors explore published frameworks for effectively integrating digital twin software solutions with industrial collaborative robotics applications. An important challenge is to define some tools to develop a digital twin. This paper explores the tools implemented by other researchers to develop a digital twin. The findings of this research contribute to a deeper understanding of the combination of digital twins and collaborative robots, paving the way for improved operational efficiency and informed decision-making.
Source: crossref · Quality: baseline
Research context
OpenAlex topics: Digital Transformation in Industry · Collaboration in agile enterprises · Flexible and Reconfigurable Manufacturing Systems
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
Robotics and Mechatronics Engineering Department, Kennesaw State University, Marietta, GA 30060, USA
Engineering Laboratory, National Institute of Standards and Technology, Gaithersburg, MD 20899, USA
Mechanical and Industrial Engineering Department, Tallinn University of Technology, 19086 Tallinn, Estonia
References (100+)
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