CumInCAD is a Cumulative Index about publications in Computer Aided Architectural Design
supported by the sibling associations ACADIA, CAADRIA, eCAADe, SIGraDi, ASCAAD and CAAD futures

PDF papers
id acadia18_394
authors Adel, Arash; Thoma, Andreas; Helmreich, Matthias; Gramazio, Fabio; Kohler, Matthias
year 2018
title Design of Robotically Fabricated Timber Frame Structures
source ACADIA // 2018: Recalibration. On imprecisionand infidelity. [Proceedings of the 38th Annual Conference of the Association for Computer Aided Design in Architecture (ACADIA) ISBN 978-0-692-17729-7] Mexico City, Mexico 18-20 October, 2018, pp. 394-403
summary This paper presents methods for designing nonstandard timber frame structures, which are enabled by cooperative multi-robotic fabrication at building-scale. In comparison to the current use of automated systems in the timber industry for the fabrication of plate-like timber frame components, this research relies on the ability of robotic arms to spatially assemble timber beams into bespoke timber frame modules. This paper investigates the following topics: 1) A suitable constructive system facilitating a just-in-time robotic fabrication process. 2) A set of assembly techniques enabling cooperative multi-robotic spatial assembly of bespoke timber frame modules, which rely on a man-machine collaborative scenario. 3) A computational design process, which integrates architectural requirements, fabrication constraints, and assembly logic. 4) Implementation of the research in the design and construction of a multi-story building, which validates the developed methods and highlights the architectural implications of this approach.
keywords full paper, fabrication & robotics, generative design, computation, timber architecture
series ACADIA
type paper
full text file.pdf (11,824,848 bytes)
references Content-type: text/plain
last changed 2019/01/07 11:22
pick and add to favorite papersHOMELOGIN (you are user _anon_101970 from group guest) CUMINCAD Papers Powered by SciX Open Publishing Services 1.002