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About

Lianzhi Yu is a pioneering researcher in medical robotics, specializing in the design and control of flexible miniature robots for minimally invasive procedures within human cavities. Yu’s major contributions center on developing inchworm-like locomotion systems driven by 3-DOF pneumatic rubber actuators, enabling precise movement and stable positioning in constrained environments. A key innovation is the integration of advanced control strategies—including fuzzy wavelet neural networks (FWNN) and cascade Hopfield neural network models—to overcome the inherent nonlinearity of pneumatic artificial muscles and enhance robot motion accuracy. Yu’s work on high-speed switch electromagnetic valve control further improved the responsiveness of these robotic systems. Although citation counts for individual papers range from 2 to 7, the cumulative impact of Yu’s research lies in its foundational role for soft robotics and medical device engineering. Notably, Yu’s application of discrete Hopfield neural networks to model and control bionic inchworm robots represents a novel fusion of neural computation and bio-inspired design. This interdisciplinary approach has influenced subsequent developments in autonomous surgical tools and rehabilitation devices, establishing Yu as a key contributor to the advancement of intelligent, flexible robotic systems for healthcare.