Real-World Applications of Artificial Intelligence in Architecture

Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review

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.
Original languageEnglish
Title of host publicationIntelligent Systems and Applications
Subtitle of host publicationProceedings of the 2023 Intelligent Systems Conference (IntelliSys) Volume 4
EditorsKohei Arai
Place of PublicationCham
PublisherSpringer Nature
Pages220-227
Number of pages8
ISBN (Electronic)978-3-031-47718-8
ISBN (Print)978-3-031-47717-1
DOIs
Publication statusPublished - 2024
EventIntelligent Systems Conference 2023
- Van der Valk Hotel Amsterdam - Amstel, Amsterdam, Netherlands
Duration: 7 Sept 20238 Sept 2023
https://saiconference.com/Conferences/IntelliSys2023

Publication series

NameLecture Notes in Networks and Systems
Volume825
ISSN (Print)2367-3370
ISSN (Electronic)2367-3389

Conference

ConferenceIntelligent Systems Conference 2023
Abbreviated titleIntelliSys 2023
Country/TerritoryNetherlands
CityAmsterdam
Period7/09/238/09/23
Internet address

Bibliographical note

Green Open Access added to TU Delft Institutional Repository 'You share, we take care!' - Taverne project https://www.openaccess.nl/en/you-share-we-take-care
Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.

Keywords

  • architectural design
  • robotic construction
  • computer vision
  • human-robot interaction
  • deep learning

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