Real-World Applications of Artificial Intelligence in Architecture

Conference paper (2024)

Authors

H.H. Bier Building Knowledge - Architecture and the Built Environment
A.J. Hidding Building Knowledge - Architecture and the Built Environment
S. Khademi Building Knowledge - Architecture and the Built Environment
C.C.J. van Engelenburg Building Knowledge - Architecture and the Built Environment
J.M. Prendergast Human-Robot Interaction - Mechanical, Maritime and Materials Engineering
L. Peternel Human-Robot Interaction - Mechanical, Maritime and Materials Engineering
Research Group
Building Knowledge (Architecture and the Built Environment) (TU Delft)
Copyright: © 2024 H.H. Bier, A.J. Hidding, S. Khademi, C.C.J. van Engelenburg, J.M. Prendergast, L. Peternel
DOI
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https://doi.org/10.1007/978-3-031-47718-8_16
Deep learning Computer vision Architectural design Human-robot interaction Robotic construction
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Published Date

2024

Language

English

Reuse Rights

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Faculty

Architecture and the Built Environment

Department

Architecture

Research Group

Building Knowledge

Abstract

Real-world applications of Artificial Intelligence (AI) in architecture have been explored more recently at Technical University (TU) Delft by integrating AI in Design-to-Robotic-Production-Assembly and -Operation (D2RPA&O) methods. These embed robotics into building processes and buildings by linking computational design with robotic construction and/ or operation of building components and buildings. This paper presents two case studies in which AI-supported D2RA is implemented in a multidisciplinary approach that requires the integration of research domains such as architecture, robotics, computer and material science.