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Designing the Next Generation of Soft Robots Using Turing Patterns

Research, In the News
TRINA Senior Scientist Yuyang Song


Prototyping soft robots using a design method based on Turing patterns. The research explores the emerging paradigm of programmed 3D shapes in additive manufacturing, which is receiving significant attention. Specifically, the study focuses on shape-morphing inflatable structures, which traditionally use isotropic materials with geometrical features. Anisotropic design through topology optimization is a powerful method to produce unique mechanical parts, however, creating physical structures with small anisotropic domains has proven challenging due to the continual spatially varying fiber orientation. This research used Turing patterns to address this challenge, resulting in a bi-phase pattern of soft fiber and stiff matrix material that mimics the topology optimization result. Moreover, advanced grayscale digital light processing 3D printing techniques can readily fabricate the Turing pattern design. The study’s findings suggest that applying patterns found in biological systems and nature to engineering composites is possible, offering new concepts for future material design.

Link: Turing pattern–based design and fabrication of inflatable shape-morphing structures

Fabrication of Turing pattern inflatable structures using g-DLP 3D printing