id |
acadia17_92 |
authors |
Anzalone, Phillip; Bayard, Stephanie; Steenblik, Ralph S. |
year |
2017 |
title |
Rapidly Deployed and Assembled Tensegrity System: An Augmented Design Approach |
doi |
https://doi.org/10.52842/conf.acadia.2017.092
|
source |
ACADIA 2017: DISCIPLINES & DISRUPTION [Proceedings of the 37th Annual Conference of the Association for Computer Aided Design in Architecture (ACADIA) ISBN 978-0-692-96506-1] Cambridge, MA 2-4 November, 2017), pp. 92-101 |
summary |
The Rapidly Deployable and Assembled Tensegrity (RDAT) project enables the efficient automated design and deployment of differential-geometry tensegrity structures through computation-driven design-to-installation workflow. RDAT employs the integration of parametric and solid-modeling methods with production by streamlining computer numerically controlled manufacturing through novel detailing and production techniques to develop an efficient manufacturing and assembly system. The RDAT project emerges from the Authors' research in academia and professional practice focusing on computationally produced full-scale performative building systems and their innovative uses in the building and construction industry. |
keywords |
design methods; information processing; AI; machine learning; form finding; VR; AR; mixed reality |
series |
ACADIA |
email |
|
full text |
file.pdf (2,701,683 bytes) |
references |
Content-type: text/plain
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Anzalone, Phillip, and Stephanie Bayard (2016)
Intelligent Tensegrity System
, Facade Tectonics World Congress Proceedings, vol. 2, edited by Douglas Noble, Karen Kensek, and Shreya Das, 469–76. Los Angeles: Facade Tectonics Institute
|
|
|
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Anzalone, Phillip (2013)
RDAT: Rapidly Deployable and Assembled Tensegrity System
, Presentation at TxA Emerging Design and Technology Conference, 74th Texas Society of Architects Annual Convention and Design Expo. Houston: TxA
|
|
|
|
Brynjolfsson, Erik, and Andrew McAfee (2016)
The Second Machine Age: Work, Progress, and Prosperity in a Time of Brilliant Technologies
, New York: W. W. Norton & Company
|
|
|
|
Bugartz, H.J. (2007)
Analytic and Numeric Investigations of Form-Finding Methods for Tensegrity Structures
, Ph.D. diss., Max Planck Institute for Metals Research
|
|
|
|
Bush, Vannevar (1945)
As We May Think
, The Atlantic, July 1945
|
|
|
|
Engelbart, Douglas C. (1962)
Augmenting Human Intellect: A Conceptual Framework
, Report for Air Force Office of Scientific Research, AFOSR-3223. Reproduced at Doug Engelbart Institute website, http://www.dougengelbart.org/pubs/augment-3906.html
|
|
|
|
Fuller, R. Buckminster (1975)
Synergetics: Explorations in the Geometry of Thinking
, London: Collier-Macmillan
|
|
|
|
Oppenheim, Irving J., and William O. Williams (1997)
Mechanics of Tensegrity Prisms
, Proceedings of the 14th International Symposium on Automation and Robotics in Construction, 473–79. Pittsburgh, PA: ISARC
|
|
|
|
Pinaud, Jean-Paul, Milenko Masic, and Robert E. Skelton (2003)
Path Planning for the Deployment of Tensegrity Structures
, Proceedings of SPIE: Smart Structures and Materials 5049: 436–47
|
|
|
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Schumacher, Patrik (2016)
Design Parameters to Parametric Design
, The Routledge Companion for Architecture Design and Practice: Established and Emerging Trends, edited by Mitra Kanaani and Dak Kopec. New York: Routledge
|
|
|
|
Zhang, J. Y., M. Oshaki, and Y. Kanno (2006)
A Direct Approach to Design of Geometry and Forces of Tensegrity Systems
, International Journal of Solids and Structures 43 (7-8): 2260–78
|
|
|
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Zhang, Marvin, Xinyang Geng, Jonathan Bruce, Ken Caluwaerts, Massimo Vespignani, Vytas SunSpiral, Pieter Abbeel, Sergey Levine (2017)
Deep Reinforcement Learning for Tensegrity Robot Locomotion
, arXiv:1609.09049v3 [cs.RO] 8 Mar 2017
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last changed |
2022/06/07 07:54 |
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