Zygote structure enables pluripotent shape-transforming deployable structure.

Area of Science:

• Robotics and Mechanical Engineering
• Computational Geometry
• Materials Science

Background:

• Designing complex 3D structures often requires large fabrication spaces.
• Achieving shape-transformability and reconfigurability in structures and robots is a significant engineering challenge.

Purpose of the Study:

• To propose an algorithmic framework for creating pluripotent structures that evolve from compact forms into diverse 3D shapes.
• To enable the design of shape-transformable, reconfigurable, and deployable structures and robots.

Main Methods:

• Developed a stacking algorithm that inversely generates a tree from a voxelized 3D surface.
• Utilized the derived connection path to guide the deployment of compactly stacked panels (zygote structure).
• Conceptually demonstrated the framework using spring hinges and shape memory alloy hinges.

Main Results:

• The algorithmic framework successfully transforms a compact structure into diverse, complex 3D shapes.
• The proposed method allows for the fabrication of large structures within a significantly smaller workspace.
• The concept was validated through conceptual demonstrations with different hinge mechanisms.

Conclusions:

• The pluripotent evolving structure framework offers a novel approach to designing deployable and reconfigurable systems.
• This method significantly reduces the workspace required for fabricating large-scale structures.
• The approach has broad implications for robotics, deployable systems, and additive manufacturing.