Honggen Fang

Shanghai Academy of Spaceflight Technology, Haier Group (China), Shanghai Aerospace Automobile Electromechanical (China)

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About

Honggen Fang is a leading researcher in the field of robotic manipulation, with a core focus on optimal trajectory planning and lightweight mechanical design. His most significant contributions lie in developing advanced mathematical frameworks to solve the multi-objective trajectory planning problem for industrial manipulators. Fang pioneered the use of quintic non-uniform rational B-splines (NURBS) to simultaneously optimize for time, energy, and smoothness—a breakthrough that addresses the conflicting demands of speed, efficiency, and jerk reduction in robotic motion. His seminal 2016 paper on this approach has garnered 33 citations, establishing a foundational method in the field. Fang further extended this work by incorporating dynamic constraints and leveraging multi-objective genetic algorithms (NSGA-II), as detailed in his 2018 study (15 citations). Beyond trajectory optimization, he has contributed to the physical design of robots, notably through the development of a lightweight arm with modular joints (2015, 11 citations). His research on Delta robots using three-parameter Lamé curves (2017, 7 citations) demonstrates his versatility in applying novel geometric methods to parallel kinematics. Fang’s work is essential reading for engineers seeking to enhance the precision, efficiency, and smoothness of robotic systems in manufacturing and automation.