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[VIDEO Available!] Coffee Talk - "Virtual and augmented reality for Safety in construction", by Felipe Muñoz

Published: 24/02/2021

Wednesday, March 3rd, 2021. Time: 15h.

Online - Session link:  https://meet.google.com/wgr-kyjv-cyr


Safety in construction is a critical discipline, which not only aims to ensure the integrity of workers but also directly affects the productivity of the project. Despite its relevance, in the last decade, there has been an upturn in accident rates.

Coffee talk

Today the sector is undergoing a profound revision in methodologies and tools due to the push of emerging technologies related to digitization, where Lean Construction and Building Information Modeling (BIM) stand out, within the framework of Construction 4.0.

In this context, recent developments in virtual reality (VR), augmented reality (AR) and mixed reality (MR), are demonstrating their potential to provide tools for visualization and interaction with digital models. These technologies enable the generation of immersive environments for inspection, monitoring, control, instruction and training in safety.

The talk shows the advances in the design, development and application of mixed reality tools for integrated Safety management in construction, from the focuses of immersive and augmented visualization, automation, personalization, and holistic vision of safety throughout the project lifecycle.


Felipe Muñoz La Rivera is a civil engineer graduated from the Pontifical University Catholic of Valparaíso (PUCV-Chile), master in BIM Management and master in Smart City Management. He is a PhD student at UPC (Civil Engineering Program), a researcher at CIMNE, and a professor at the PUCV-Chile. His research work is centred on the use of new methodologies and emerging technologies in the Architecture, Engineering and Construction industry (Construction 4.0, Building Information Modeling - BIM, Lean Construction, Virtual and Augmented reality).


Health and Safety in construction; Virtual and Augmented reality; Building Information Modeling