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Updated: Jan 10, 2026

Folding and Characterization of a Bio-responsive Robot from DNA Origami
Published on: December 3, 2015
Earwig wing-inspired bistable origami: non-Euclidean units with soft joints
Yuanyuan Li1,2, Yao Qu3, Xiaohui Zhang4
1Key Laboratory of C & PC Structures of Ministry of Education, National Prestress Engineering Research Center, Southeast University, Nanjing 211189, People's Republic of China.
None:
Origami-inspired folding enables structures to achieve multiple stable configurations, but predicting and controlling these states remain challenging. In nature, insects such as the earwig (Forficula auricularia) utilize non-Euclidean folding principles, leveraging asymmetric resilin-rich creases for compact storage and rapid deployment. Inspired by this, we investigate the bistable and multi-stable behavior of origami-inspired eggbox and saddle units, focusing on how mirroring configurations dictate stability. Through analytical energy modeling and experiments, we confirm that bistability in single units arises from a dominant folding (dihedral) angle-similar to the primary hinge regulation in earwig wings-enabling single-input actuation. In two-unit assemblies, mirroring along the dominant fold axis enforces synchronized snap-through, yielding a coupled bistable system, whereas mirroring along a secondary axis allows independent flipping, resulting in four stable states. Building upon this bioinspired principle, we extend the design to incorporate both deficit and redundant angles while maintaining a symmetric folding scheme, offering a systematic approach to programming multi-stability in origami-based structures. These findings provide a bioinspired strategy for programming multi-stable origami structures through geometric constraints and mirroring. The ability to toggle between synchronized and independent snap-through simplifies control and enables shape transformations without continuous actuation. This approach has broad applications in deployable structures, bioinspired soft robotics, and adaptive materials, leveraging multi-stability for efficient morphing.
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