Keyao Song

University of Bristol, Shanghai Jiao Tong University

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About

Keyao Song is a rising researcher in the field of reconfigurable structures and mechanical metamaterials, with a focus on multistable tensegrity systems and curved-crease origami. Their work addresses fundamental challenges in designing structures that can switch between stable configurations with minimal energy input—a key requirement for applications in deployable aerospace systems, soft robotics, and adaptive metamaterials. In their 2023 paper on multistable tensegrity structures, Song introduced a novel Mountain Pass algorithm to identify energy thresholds for state transitions, offering a systematic design tool for engineers (13 citations). Their 2024 comprehensive review of curved-crease origami (12 citations) synthesizes design principles, analysis methods, and application potentials, establishing Song as a leading voice in this emerging subfield. By bridging theoretical mechanics with practical design strategies, Song’s contributions are enabling a new class of lightweight, programmable structures that can morph and lock into multiple shapes without continuous power. Their work is already shaping how researchers approach the design of deployable and reconfigurable systems, with growing impact in both academic and engineering communities.