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About

Xingxiang Li is an emerging researcher at the forefront of smart materials and soft robotics, with particular expertise in liquid crystal elastomers (LCEs), ferromagnetic soft materials, and magnetically actuated robotic systems. His work addresses fundamental challenges in programming, fabricating, and controlling next-generation active materials capable of complex, responsive behaviors. Li's most impactful contribution — a 3D-printed ferromagnetic liquid crystal elastomer with independently programmable dual-anisotropy and multi-responsiveness — has garnered 97 citations since 2023, reflecting the field's urgent appetite for materials that merge magnetic actuation with LCE versatility. This breakthrough opened new design pathways for soft robotics and biomedical devices. Complementing this, his data-driven approach to navigating ferromagnetic soft continuum robots using machine learning (28 citations) demonstrates his commitment to bridging materials science with intelligent control strategies. Li's broader portfolio spans near-ambient-responsive LCEs for low-power biocompatible devices, annelid-inspired modular magnetic robots, bistable dome actuators, and sensor-actuator integrated fabrication — collectively addressing the persistent challenges of controllability and adaptability in soft robotic systems. His research consistently pushes toward untethered, wirelessly controlled, and biologically compatible robotic platforms, making his work highly relevant to future minimally invasive medical technologies and autonomous soft machines.