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About

Zhenping Yu is a leading researcher in soft robotics and bio-inspired underwater systems, with a focus on advancing robotic manipulation and autonomous marine exploration. His work centers on the design, optimization, and control of soft robotic grippers and bionic robotic fish, addressing the challenges of operating in complex, uncertain underwater environments. Yu’s major contributions include comprehensive reviews on underwater soft robots (98 citations) and robotic soft grippers (46 citations), which have become key references for the field. He has developed innovative approaches to improve the efficiency and performance of robotic fish, including multi-parameter optimization of tail-fin-driven designs and a CFD-based method to minimize cost of transport. Additionally, his work on swimming optimization using an improved Central Pattern Generator (CPG) model for soft bio-inspired robotic fish demonstrates a novel integration of control theory and biomimetics. With over 150 total citations, Yu’s research is shaping the next generation of adaptive, efficient underwater robots, offering practical solutions for ocean exploration and resource utilization.