Zhizhong Shen

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About

Zhizhong Shen is a pioneering researcher in biomimetic robotics, with a primary focus on the design, motion control, and intelligent behavior of robotic fish. His most influential work, "Motion Control of a Robot Fish Based on CPG" (2006, 21 citations), introduced a groundbreaking Central Pattern Generator (CPG) controller that enabled a multi-jointed robot fish—equipped with a two-linked tail, 2-DOF pectoral fins, and onboard sensors—to achieve fluid, biologically inspired locomotion. This foundational contribution demonstrated how artificial neural oscillators could replicate the rhythmic swimming patterns of real fish, while integrating infrared sensors and a gyro for obstacle detection and posture stabilization. Shen further advanced the field by exploring obstacle avoidance learning in biomimetic fish (2006) and later engineering high-performance mechanical robotic fish (2018), pushing the boundaries of durability and efficiency. His work bridges neurobiology, control theory, and mechanical design, offering a template for autonomous underwater vehicles that navigate complex environments. With over two decades of sustained innovation, Shen’s research remains a key reference for students and engineers seeking to understand the intersection of animal-inspired locomotion and practical robotics.