Xiaoying Tang

Southern University of Science and Technology

Papers

Total Citations

H-Index

About

Xiaoying Tang is a leading researcher in the field of smart materials and soft robotics, with a particular focus on photoresponsive liquid crystal elastomers (LCEs). Her work addresses a critical challenge in the development of light-driven actuators: achieving precise, anti-interference control over their deformation behavior. In her most cited 2024 study, Tang introduced a novel computer vision-assisted control method that dramatically improves the accuracy and stability of LCE actuators, overcoming the limitations of existing control systems that struggle with environmental interference. This contribution is pivotal for advancing applications in high-tech fields such as soft robotics, where reliable and precise actuation is essential. With 3 citations already for this recent work, Tang’s research is gaining traction for its practical impact. Her innovative integration of computer vision with smart material control not only enhances actuator performance but also opens new pathways for autonomous, adaptive robotic systems. Tang’s work stands out for its interdisciplinary approach, merging materials science, optics, and control engineering to solve real-world problems in soft robotics.