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About

Mengbao Fan is a mechanical engineering researcher whose work centers on the dynamics, modeling, and vibration control of flexible robotic systems. His research addresses one of the most persistent challenges in modern robotics: the elastic vibration and instability that emerge when lightweight, high-speed manipulators are deployed in industrial settings. Fan's most influential contribution, his 2015 coupled dynamic model for motor-driven flexible manipulator systems (18 citations), challenged the conventional "separate investigation" approach by demonstrating that neglecting motor dynamics introduces meaningful errors in flexible manipulator analysis. Building on this foundation, his 2019 rigid-flexible coupling dynamic model for planar parallel robots (16 citations) extended these insights to more complex multi-body architectures, directly addressing vibration suppression in high-speed parallel mechanisms. His 2016 work introduced an improved Luenberger observer for soft measurement of residual vibration in translational flexible-link manipulators, offering a practical sensing solution without additional hardware. Fan also explored nonlinear dynamics and stability under base disturbance and terminal loading conditions, reflecting a comprehensive approach to real-world robotic deployment challenges. Collectively, his contributions provide foundational modeling and control tools for engineers designing the next generation of lightweight industrial robots.