Zhaoqiang Song

Papers

Total Citations

240

H-Index

About

Zhaoqiang Song is a leading figure in the field of soft robotics and smart materials, with a particular focus on liquid crystal elastomers (LCEs). His research centers on designing bioinspired, high-performance actuators that mimic natural muscle and enable self-repair. In his highly cited 2020 work (123 citations), Song introduced a recyclable and self-repairable fluid-driven LCE actuator, overcoming a critical limitation of traditional soft actuators by enabling material reuse and damage recovery. Earlier, his 2018 paper (117 citations) pioneered the bioinspired design of vascular artificial muscle, embedding microfluidic channels within LCEs to achieve efficient, distributed actuation—a breakthrough for wearable devices and biomedical engineering. Song’s contributions have significantly advanced the practical viability of LCEs, demonstrating how to combine large actuation stress and strain with durability and sustainability. His work bridges fundamental materials science and applied robotics, earning him recognition as a key innovator in next-generation artificial muscles. For students and researchers, Song’s research offers a compelling blueprint for creating resilient, lifelike soft robots.