Lee Yu-Ki, Hao Yue, Xi Zhonghua, Kim Woongbae, Park Youngmin, Cho Kyu-Jin, Lien Jyh-Ming, Choi In-Suk
Department of Materials Science and Engineering, Research Institute of Advanced Materials (RIAM), Seoul National University, Seoul 08826, Republic of Korea.
Department of Computer Science, George Mason University, Fairfax, VA 22030, USA.
PNAS Nexus. 2023 Mar 14;2(3):pgad022. doi: 10.1093/pnasnexus/pgad022. eCollection 2023 Mar.
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.
我们提出了一种多能结构的算法框架,该结构从简单紧凑结构演变为多样复杂的三维结构,用于设计形状可变换、可重构和可展开的结构及机器人。我们的算法方法提出了一种将由均匀构建块组成的紧凑结构转变为大型、所需三维形状的方法。类似于受精卵细胞可根据编码信息生长成预编程形状,名为合子结构的紧密堆叠面板可通过对其连接路径进行编程而演变成任意三维结构。我们的堆叠算法通过将所需结构的体素化表面反向堆叠成一棵树来获得此编码序列。应用堆叠算法获得的连接路径,名为合子结构的紧密堆叠面板可展开成多样的大型三维结构。我们分别通过能量释放型商用弹簧铰链和热驱动形状记忆合金铰链从概念上展示了我们的多能演化结构。我们还表明,所提出的概念能够在显著更小的工作空间中制造大型结构。