• DocumentCode
    664071
  • Title

    Self-folding shape memory laminates for automated fabrication

  • Author

    Tolley, Michael T. ; Felton, Samuel M. ; Miyashita, S. ; Xu, Lie ; ByungHyun Shin ; Zhou, MengChu ; Rus, Daniela ; Wood, Robert J.

  • Author_Institution
    Sch. of Eng. & Appl. Sci., Harvard Univ., Cambridge, MA, USA
  • fYear
    2013
  • fDate
    3-7 Nov. 2013
  • Firstpage
    4931
  • Lastpage
    4936
  • 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.
  • Keywords
    assembling; laminates; shape memory effects; automated fabrication; cube structure; fold angles; self-folding approach; self-folding shape memory laminates; small structure assembly; Assembly; Fabrication; Heating; Ink; Laminates; Shape;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Robots and Systems (IROS), 2013 IEEE/RSJ International Conference on
  • Conference_Location
    Tokyo
  • ISSN
    2153-0858
  • Type

    conf

  • DOI
    10.1109/IROS.2013.6697068
  • Filename
    6697068