Self-folding shape memory laminates for automated fabrication
Name
Rus_Self-folding shape.pdf
Size
1.58 MB
Format
Adobe PDF
Checksum (MD5)
e62a98d96175b99585e51a721b1a74fd
Author(s)
Tolley, Michael T.
Felton, Samuel M.
Miyashita, Shuhei
Xu, Lily
ByungHyun Shin, Lily
Zhou, Monica
Wood, Robert J.
Rus, Daniela L.
Date Issued
November 2013
Journal
Proceedings of the 2013 IEEE/RSJ International Conference on Intelligent Robots and Systems
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Citation
Tolley, Michael T., Samuel M. Felton, Shuhei Miyashita, Lily Xu, ByungHyun Shin, Monica Zhou, Daniela Rus, and Robert J. Wood. “Self-Folding Shape Memory Laminates for Automated Fabrication.” 2013 IEEE/RSJ International Conference on Intelligent Robots and Systems (November 2013).
Version
Author's final manuscript
Abstract
Nature regularly uses self-folding as an efficient approach to automated fabrication. In engineered systems, however, the use of self-folding has been primarily restricted to the assembly of small structures using exotic materials and/or complex infrastructures. In this paper we present three approaches to the self-folding of structures using low-cost, rapid-prototyped shape memory laminates. These structures require minimal deployment infrastructure, and are activated by light, heat, or electricity. We compare the fabrication of a fundamental structure (a cube) using each approach, and test ways to control fold angles in each case. Finally, for each self-folding approach we present a unique structure that the approach is particularly suited to fold, and discuss the advantages and disadvantages of each approach.
MIT Department
Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory
Massachusetts Institute of Technology. School of Engineering
Terms of Use
Creative Commons Attribution-Noncommercial-Share Alike
Persistent DSpace Link
DOI of Published Version
https://doi.org/10.1109/IROS.2013.6697068
