Programmable matter by folding
Name
Demaine-Programmable matter.pdf
Size
1.36 MB
Format
Adobe PDF
Checksum (MD5)
87ac3296d9a9fb52cbb271c9a536fca7
Author(s)
Wood, R. J.
Hawkes, E.
An, Byoung Kwon
Benbernou, Nadia M.
Tanaka, H.
Kim, S.
Demaine, Erik D.
Rus, Daniela L.
Date Issued
June 2010
Journal
Proceedings of the National Academy of Sciences
Publisher
Proceedings of the National Academy of Sciences (PNAS)
Citation
Hawkes, E. et al. “Programmable Matter by Folding.” Proceedings of the National Academy of Sciences 107.28 (2010): 12441–12445. Web. 25 June 2012.
Version
Final published version
Abstract
Programmable matter is a material whose properties can be programmed to achieve specific shapes or stiffnesses upon command. This concept requires constituent elements to interact and rearrange intelligently in order to meet the goal. This paper considers achieving programmable sheets that can form themselves in different shapes autonomously by folding. Past approaches to creating transforming machines have been limited by the small feature sizes, the large number of components, and the associated complexity of communication among the units. We seek to mitigate these difficulties through the unique concept of self-folding origami with universal crease patterns. This approach exploits a single sheet composed of interconnected triangular sections. The sheet is able to fold into a set of predetermined shapes using embedded actuation. To implement this self-folding origami concept, we have developed a scalable end-to-end planning and fabrication process. Given a set of desired objects, the system computes an optimized design for a single sheet and multiple controllers to achieve each of the desired objects. The material, called programmable matter by folding, is an example of a system capable of achieving multiple shapes for multiple functions.
Description
This article contains supporting information online at www.pnas.org/lookup/suppl/
doi:10.1073/pnas.0914069107/-/DCSupplemental.
MIT Department
Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory
Massachusetts Institute of Technology. Department of Mechanical Engineering
Terms of Use
Article is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use.
Persistent DSpace Link
DOI of Published Version
https://doi.org/10.1073/pnas.0914069107
