Zhaoyang Peng

Beijing University of Posts and Telecommunications

Papers

Total Citations

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About

Zhaoyang Peng is a leading researcher in modular robotics, with a primary focus on the identification and control of joint parameters in redundant manipulator systems. His work addresses a fundamental challenge in robotics: the prerequisite need for accurate dynamic data to achieve effective vibration control and precise motion in modular structures. Peng’s major contribution lies in pioneering the integration of fuzzy theory with genetic algorithms to solve complex parameter identification problems. His 2004 paper, "Parameters identification and vibration control for modular manipulators," which has garnered 15 citations, demonstrates how fuzzy optimization guided by genetic algorithms can globally identify joint parameters, enabling superior dynamic control. This builds on his foundational 2002 work (13 citations), where he first applied fuzzy logic combined with genetic algorithms to characterize the dynamic behavior of modular robot joints. Peng’s innovative hybrid approach has proven essential for researchers working on adaptive and reconfigurable robotic systems, offering a robust methodology for tackling the nonlinear and uncertain dynamics inherent in modular designs. His contributions remain a key reference for those advancing the field of intelligent robotic control.