Authors
Yanzhen Li, Zheren Cai, Yongli He, Zhihua Liu, Cong Wang, Jiaofu Li, Wenlong Li, Nuan Chen, Dong Wu, Huajian Gao, Xiaodong Chen
Published in
Science advances. Volume 12. Issue 38. Pages eaeb8359. Sep 18, 2026. Epub Sep 18, 2026.
Abstract
Accurate shape sensing requires simultaneous quantification of bending angle (φ) and bending direction (θ). Yet existing bending sensors remain confined to uniaxial or discretized modes, relying on tedious, non-generalizable calibration procedures. Here, we present a snowflake-shaped omnidirectional bending sensor that achieves complete and linear decoupling of φ and θ through a three-fold rotationally symmetric arrangement of strain-sensitive resistors. By harnessing geometric symmetry as a physical prior, we establish a closed-form analytical model and signal projection framework that transform calibration from an empirical process into a simple, quantitative, universal procedure. The sensor is compatible with standard flexible printed circuit board (FPCB) fabrication on polyimide (PI) and polyethylene terephthalate (PET) substrates, ensuring scalability and integration. We demonstrate real-time reconstruction of multidirectional surface deformation and in situ correction of ultrasound imaging artifacts during bending. This symmetry-guided approach redefines the design principles of deformation sensing, providing a general platform for dynamic shape reconstruction and opening avenues for self-adaptive and self-aware electronic systems.
PMID:
42758825
Bibliographic data and abstract were imported from PubMed on 19 Sep 2026.
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