Research domain
Digital Twin and Artificial Intelligence
About digital twins and artificial intelligence
Research presentation
GRIDD works with its partners on issues of digital continuity, the implementation of digital twins and artificial intelligence applications in the field of built assets. A digital twin is a virtual replica of a physical object, process or system that uses artificial intelligence, machine learning and data analysis to simulate its behavior and performance in real time.
GRIDD’s research on digital twins aims to improve the efficiency, reliability and sustainability of industrial systems or the use of the built environment, as well as to optimize decision-making and problem-solving.
11
Students involved
16
Research projects
8
Publications
Topics addressed
Topics covered in this research area include:
- The identification and development of services related to the application of digital twins in the construction and operating phases of buildings.
- Integrating heterogeneous data sources to support the implementation of digital twins
- Machine learning-based application development for the construction industry
- The application of computer vision for the recognition of construction objects and the remodeling of existing conditions
Digital twins and artificial intelligence
Projects within this research domain
Browse our projects in digital twins and artificial intelligence by filtering them according to the topics you’re looking for.
