Machine Learning and Safe and Inclusive Architecture for Fragile Users

  • Antonio Magarò Roma Tre University
  • Adolfo F. L. Baratta Roma Tre University
Keywords: artificial intelligence, machine learning, augmented reality, fragile users, architecture for an ageing society

Abstract

The contribution presents the first results of a research conducted in the Department of Architecture, Roma Tre University, aimed at testing Machine Learning algorithms for train Neural Networks in learning data from BIM, with the purpose of generating Augmented Reality contents. The objective is to improve the living space's fruition by fragile users. Machine Learning algorithms, in computer-aided design, constitute an innovation in production, as well as an innovation in product, meaning architectural spaces as such. After describing the current research lines, this paper proposes a shared glossary about the terms borrowed from other investigation fields. Finally, it describes the applications in Augmented Reality experimented in the research and the theoretical mechanisms of interaction between these and the Machine Learning algorithms.

Author Biographies

Antonio Magarò, Roma Tre University

Architect and PhD Student, since 2016 he has been carrying out integrative teaching assignments in the Architecture Technology courses. His research ranges from urban regeneration through the adaptive envelopes to the new technologies for fragile users. He is the author of publications about innovative materials and about the mitigation of housing problems in marginal urban areas of the world.
E-mail: antonio.magaro@uniroma3.it

Adolfo F. L. Baratta, Roma Tre University

Architect and PhD, since 2014 he is an Associate Professor in Architectural Technology at the Department of Architecture. Professor at University of Florence (2002-2012), Sapienza University of Rome (2009-2010) he was Visiting Professor at Universidad de Boyacà in Sogamoso, Colombia (2017) and in the HTWG of Konstanz, Deutschland (2017). He is the author of over 200 publications.
E-mail: Adolfo.baratta@uniroma3.it

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RAdARt application developed within the Department of Architecture of the Roma Tre University. agathón
Published
2019-06-30
How to Cite
Magarò, A. and Baratta, A. F. L. (2019) “Machine Learning and Safe and Inclusive Architecture for Fragile Users”, AGATHÓN | International Journal of Architecture, Art and Design, 5(online), pp. 109-116. doi: 10.19229/2464-9309/5122019.
Section
Architecture | Research & Experimentation
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