Integrating Digital Twin Software Solutions with Collaborative Industrial Systems: A Comprehensive Review for Operational Efficiency
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...
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| Format: | Article |
| Language: | English |
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MDPI AG
2025-06-01
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| Series: | Applied Sciences |
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| Online Access: | https://www.mdpi.com/2076-3417/15/13/7049 |
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| author | David A. Guerra-Zubiaga Murat Aksu Gershom Richards Vladimir Kuts |
| author_facet | David A. Guerra-Zubiaga Murat Aksu Gershom Richards Vladimir Kuts |
| author_sort | David A. Guerra-Zubiaga |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-87945d43cd214701a074599eabd86209 |
| institution | Kabale University |
| issn | 2076-3417 |
| language | English |
| publishDate | 2025-06-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Applied Sciences |
| spelling | doaj-art-87945d43cd214701a074599eabd862092025-08-20T03:50:17ZengMDPI AGApplied Sciences2076-34172025-06-011513704910.3390/app15137049Integrating Digital Twin Software Solutions with Collaborative Industrial Systems: A Comprehensive Review for Operational EfficiencyDavid A. Guerra-Zubiaga0Murat Aksu1Gershom Richards2Vladimir Kuts3Robotics and Mechatronics Engineering Department, Kennesaw State University, Marietta, GA 30060, USAEngineering Laboratory, National Institute of Standards and Technology, Gaithersburg, MD 20899, USARobotics and Mechatronics Engineering Department, Kennesaw State University, Marietta, GA 30060, USAMechanical and Industrial Engineering Department, Tallinn University of Technology, 19086 Tallinn, EstoniaThe 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.https://www.mdpi.com/2076-3417/15/13/7049digital twincollaborative robotics applicationsmachine learningsystem integrationdata management |
| spellingShingle | David A. Guerra-Zubiaga Murat Aksu Gershom Richards Vladimir Kuts Integrating Digital Twin Software Solutions with Collaborative Industrial Systems: A Comprehensive Review for Operational Efficiency Applied Sciences digital twin collaborative robotics applications machine learning system integration data management |
| title | Integrating Digital Twin Software Solutions with Collaborative Industrial Systems: A Comprehensive Review for Operational Efficiency |
| title_full | Integrating Digital Twin Software Solutions with Collaborative Industrial Systems: A Comprehensive Review for Operational Efficiency |
| title_fullStr | Integrating Digital Twin Software Solutions with Collaborative Industrial Systems: A Comprehensive Review for Operational Efficiency |
| title_full_unstemmed | Integrating Digital Twin Software Solutions with Collaborative Industrial Systems: A Comprehensive Review for Operational Efficiency |
| title_short | Integrating Digital Twin Software Solutions with Collaborative Industrial Systems: A Comprehensive Review for Operational Efficiency |
| title_sort | integrating digital twin software solutions with collaborative industrial systems a comprehensive review for operational efficiency |
| topic | digital twin collaborative robotics applications machine learning system integration data management |
| url | https://www.mdpi.com/2076-3417/15/13/7049 |
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