Max Robotics — Global Service Robot Directory + US Certification

About

Yuzhuo Fu is a leading researcher in biomimetic robotics, with a primary focus on the design, modeling, and control of robotic fish. His major contributions lie in advancing the understanding and application of passive flexible mechanisms to create more lifelike and efficient underwater propulsion. Fu pioneered the use of the pseudo-rigid-body model (PRBM) to analyze flexible joints in robotic tails, enabling precise dynamic modeling and stiffness optimization. His work, such as the highly cited 2021 paper on "Development and Stiffness Optimization for a Flexible-Tail Robotic Fish" (26 citations), directly addresses the challenge of integrating flexible materials with rigid structures to achieve undulating motion. Beyond mechanical design, Fu has also contributed to intelligent control, developing an adaptive fusional localization system for robot fish using dynamic-weight fuzzy inference to improve navigation in constrained environments. His research has significant implications for marine exploration, underwater rescue, and environmental monitoring. With a growing body of work that bridges theoretical modeling and practical application, Yuzhuo Fu is establishing himself as a key innovator in the field of bio-inspired underwater robotics.