id |
caadria2018_198 |
authors |
Reinhardt, Dagmar, Candido, Christhina, Cabrera, Densil, Wozniak-O'Connor, Dylan, Watt, Rodney, Bickerton, Chris, Titchkosky, Ninotschka and Houda, Maryam |
year |
2018 |
title |
Onsite Robotic Fabrication for Flexible Workspaces - Towards Design and Robotic Fabrication of an Integrated Responsive Ceiling System for A Workspace Environment |
doi |
https://doi.org/10.52842/conf.caadria.2018.1.059
|
source |
T. Fukuda, W. Huang, P. Janssen, K. Crolla, S. Alhadidi (eds.), Learning, Adapting and Prototyping - Proceedings of the 23rd CAADRIA Conference - Volume 1, Tsinghua University, Beijing, China, 17-19 May 2018, pp. 59-68 |
summary |
Open, flexible workspaces were introduced decades ago, but architectural design approaches to ceiling systems have not changed substantially. This paper discusses the development of strategies and prototypes for a lightweight, integrated ceiling structure that is robotically woven. Through geometrically complex, fibre-reinforced building elements that are produced onsite, a new distribution system for data and light can be provided and support individual and multi-group collaborations in an contemporary open-plan office for maximum flexibility. The paper introduces applied design research with case studies that test robotic weaving on an architectural ceiling. The second part contextualises the presented work by linking it to workspace scenarios and an on-site robotic process with a resulting data distribution that is designed to produce degrees of freedom for high flexibility in use, allowing occupants to organise the workspace layout autonomously so that workflow constellations in different teams can be adequately expressed through space. The paper concludes with a discussion of a framework for robotic methods developed for the carbon-fibre overhead weaving processes, followed by conclusions and outlook towards future potentials. |
keywords |
open collaborative workspace; robotic onsite weaving; carbon fiber; integrated ceiling systems |
series |
CAADRIA |
email |
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full text |
file.pdf (19,996,955 bytes) |
references |
Content-type: text/plain
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last changed |
2022/06/07 08:00 |
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