Liuxi Xing

Papers

Total Citations

105

H-Index

About

Liuxi Xing is a pioneering researcher at the intersection of bioinspired robotics, soft matter manipulation, and automated biomedical systems. His work fundamentally advances how robots interact with and control deformable environments—from microscopic organisms to living cells. Xing’s most influential contribution is the development of magnetically driven undulatory microswimmers that integrate multiple rigid segments, achieving unprecedented efficiency and agility by mimicking biological locomotion strategies (54 citations). He further revolutionized soft object manipulation by introducing a tendon-driven continuum robot capable of automated 3-D deformation, employing a dynamic estimator to approximate the Jacobian matrix for precise control in constrained spaces (31 citations). In biomedical engineering, Xing designed a deep learning-enhanced dual-module microinjection system for adherent cells, overcoming the longstanding bottlenecks of low throughput and cumbersome manual operation in robotic cell injection (20 citations). His work bridges fundamental robotics theory with practical automation, offering scalable solutions for microassembly, drug delivery, and cellular engineering. Xing’s research is distinguished by its seamless integration of mechanical design, control theory, and artificial intelligence, establishing him as a leading voice in next-generation soft and microrobotic systems.