Shan Gao

Papers

Total Citations

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About

Shan Gao’s research career is anchored in the precision engineering of robotic systems, with a particular focus on the analytical modeling and dynamic control of industrial manipulators. In his foundational 2005 work, Gao developed an analytical dynamic model for six-degree-of-freedom industrial robotic manipulators containing closed chains—a contribution that has garnered 11 citations and remains a reference for researchers tackling the complexities of closed-chain kinematics in automation. Building on this expertise, Gao turned his attention to the control of self-balance robots. In a 2012 study, he pioneered a co-simulation approach integrating Matlab/Simulink with Adams, creating a virtual prototype to test the static-dynamic characteristics of a full state feedback controller. By constructing a state-space formula and configuring the system’s poles, he demonstrated a rigorous method for verifying control accuracy before physical deployment. Though his citation counts are modest, Gao’s work exemplifies the meticulous, cross-platform simulation techniques essential for modern robotics development—bridging theoretical dynamics with practical, real-world validation.