Robotic Materialization of Architectural Hybridity

Modelling, Computation and Robotic Production of Multi-materiality

Conference Paper (2018)
Author(s)

S. Mostafavi (TU Delft - Digital Architecture, TU Delft - Architectural Engineering, Anhalt University of Applied Sciences Dessau)

H. H. Bier (Anhalt University of Applied Sciences Dessau, TU Delft - Digital Architecture)

B.N. Kemper (TU Delft - Teachers of Practice)

D.L. Fischer (TU Delft - Teachers of Practice)

Research Group
Design Informatics
Copyright
© 2018 Sina Mostafavi, H.H. Bier, B.N. Kemper, D.L. Fischer
More Info
expand_more
Publication Year
2018
Language
English
Copyright
© 2018 Sina Mostafavi, H.H. Bier, B.N. Kemper, D.L. Fischer
Research Group
Design Informatics
Volume number
2
Pages (from-to)
301-308
ISBN (print)
978-94-91207-15-0
ISBN (electronic)
978-94-91207-16-7
Reuse Rights

Other than for strictly personal use, it is not permitted to download, forward or distribute the text or part of it, without the consent of the author(s) and/or copyright holder(s), unless the work is under an open content license such as Creative Commons.

Abstract

Considering both architectural and constructional aspects of the built environment, hybridity or multi-materiality is essential to generate functional habitable spaces. Buildings consist of subsystems that each require different and sometimes conflicting material attributes and behaviours. In this context, expanding the solution space for material properties in architectural applications can be achieved through the integration of innovative design computation and production methods. With this focus, the paper presents prototyping processes and frames a discourse on robotic materialisation of architectural hybridity, ranging from micro or material to macro or component scales. The paper discusses three case studies, each with a specific focus on digital modelling, computation and robotic production of hybrid systems. The conclusion outlines how robotic fabrication of architectural multi-materiality redefines, informs and tends methods of design computation and materialisation.

Files

Ecaade2018_437.pdf
(pdf | 15.3 Mb)
License info not available