A holistic approach to domain independent development of digital twins
2025-GRIN-38441
Abstract
Abstract
The use of Digital Twins (DT), which originated mainly in industry, is becoming increasingly relevant in different areas of application. A DT is generally described as a physical entity, its digital counterpart, and the two-way sharing of information between these two entities. In this way, digital twins offer an ideal approach for testing, analysing, and taking preventive action on complex systems. This new approach to system creation has been supported by the recent evolution of enabling technologies such as the Internet of Things, explainable artificial intelligence (XAI), extended reality (XR) and 5G/6G communications. However, the growing use of digital twins to solve complex problems within cyber-physical systems faces numerous challenges. Firstly, it requires an approach that integrates the different enabling technologies in a coherent manner. Furthermore, most DT development approaches are context-dependent and specifically tailored to the design of specific systems. This lack of a standard approach creates difficulties in integrating these types of systems to create complex solutions supported by the use of DT. All of this highlights the need to develop a holistic approach that can be applied to different domains, not only within the industrial sphere, but also in others such as health or social interaction, where Human Digital Twins (HDT) have recently emerged.
This project aims to create a development framework that facilitates the integration of different enabling technologies and can be applied to different domains. The different existing approaches to DT development will be analysed, proposing a unifying approach. Within this general framework, existing architectures will be studied, proposing different architectural patterns that fit different contexts. Different XAI-supported analysis and decision-making strategies will be analysed, identifying those techniques that best fit the different domains and proposing strategies for selecting the most appropriate technique in each case. Another major challenge is to integrate XR techniques that facilitate the communication of virtual counterparts to users, so an appropriate integration of this type of information representation within the development process will be proposed. Likewise, within this framework, essential aspects that offer us adequate quality assurance must be considered, providing users with truly reliable systems. Finally, the different aspects analysed above must be tested in different scenarios, for which different prototypes will be developed. These prototypes will be used to evaluate the different proposals in the development of two clearly differentiated types of DT: those that integrate humans into their interaction loop and fit the definition of HDT, and those linked to the design of cyber-physical systems.
Main Goal
Propose a framework that facilitates the development of digital twins, applied in different contexts of use.
Specific Goals
Specific Goals
OBJ1. Definition of a methodology that allows the development of Digital Twins regardless of the field of application.
OBJ2. Study of different architectural proposals that facilitate the development of Digital Twins.
OBJ3. Integration of Explainable Artificial Intelligence techniques to analyse the behaviour of Digital Twins.
OBJ4. Integration of Extended Reality for the visualisation of the digital counterpart in real or virtual scenarios.
OBJ5. Definition of a quality assurance framework for Digital Twins adapted to different domains.
OBJ6. Study of usage contexts where Human Digital Twins are developed from an affective perspective.
OBJ7. Study of usage contexts related to the use of Digital Twins in the design of cyber-physical systems and devices, such as assistive drones.
Research Team
Engineers in Computer Science, Industrial Engineering and Telecommunications from Universidad de Castilla-La Mancha (UCLM):

Pascual González López
Professor, Principal Researcher

Elena Navarro Martínez
Professor- Co-Principal Researcher

Antonio Fernández-Caballero
Professor

Francisco Montero Simarro
Professor

Rafael Morales Herrera
Professor

María Teresa López Bonal
Associate Professor

Víctor López Jaquero
Associate Professor

José Pascual Molina Massó
Associate Professor

Arturo Simón García Jiménez
Associate Professor

José Luis de la Vara González
Associate Professor

Lidia Belmonte Moreno
Associate Professor

Javier de las Morenas de la Flor
Associate Professor

Roberto Sánchez Reolid
Assistant Professor

Clara Ayora Esteras
Researcher

Daniel Sánchez Reolid
Predoctoral Researcher

María Elena Pretel Fernández
FPU-Predoctoral Researcher

Francisco López de la Rosa
Predoctoral Researcher

Aurora Macías Ojeda
Predoctoral Researcher

Luis Fernando Zhinin Vera
Predoctoral Researcher

José Luis Gímez Sirvent
Predoctoral Researcher

José Jesús González García
Predoctoral Researcher

Javier Jiménez Ruescas
Predoctoral Researcher

Juan López Ródenas
Predoctoral Researcher

Noelia González Sánchez
Predoctoral Researcher

Francisco Javier Celdrán Martínez
Predoctoral Researcher
Participating Institutions
Results
Results
PhD Thesis
Masters Thesis
2022
Journal Papers
2022
Conference Papers
Books and Books Chapters
Grant 2022-GRIN-34436 funded by Universidad de Castilla-La Mancha and by «ERDF A way of making Europe».
From: 2022 until: 2025.