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Zygote structure enables pluripotent shape-transforming deployable structure

Yu‐Ki Lee, Yue Hao, Zhonghua Xi, Woongbae Kim, Young-Min Park, Kyu‐Jin Cho, Jyh‐Ming Lien, In‐Suk Choi

Year
2023
Citations
4
Access
Open access

Abstract

We propose an algorithmic framework of a pluripotent structure evolving from a simple compact structure into diverse complex 3D structures for designing the shape-transformable, reconfigurable, and deployable structures and robots. Our algorithmic approach suggests a way of transforming a compact structure consisting of uniform building blocks into a large, desired 3D shape. Analogous to a fertilized egg cell that can grow into a preprogrammed shape according to coded information, compactly stacked panels named the zygote structure can evolve into arbitrary 3D structures by programming their connection path. Our stacking algorithm obtains this coded sequence by inversely stacking the voxelized surface of the desired structure into a tree. Applying the connection path obtained by the stacking algorithm, the compactly stacked panels named the zygote structure can be deployed into diverse large 3D structures. We conceptually demonstrated our pluripotent evolving structure by energy-releasing commercial spring hinges and thermally actuated shape memory alloy hinges, respectively. We also show that the proposed concept enables the fabrication of large structures in a significantly smaller workspace.

Keywords

ZygoteInduced pluripotent stem cellBiologyComputer scienceCell biologyEmbryonic stem cellGeneticsEmbryo

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