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About

Hongchao Zhao is a control systems researcher whose work spans flexible robotics, mobile robot navigation, and advanced trajectory tracking methodologies. His most significant contributions lie at the intersection of nonlinear control theory and practical robotic applications, with a particular focus on stable inversion techniques for non-minimum phase systems. Zhao's early and most influential work applied stable inversion theory to multilink flexible robot manipulators, enabling precise tip trajectory tracking in systems that are notoriously difficult to control — a contribution that has garnered 27 citations and remains a foundational reference in flexible robotics control. Building on this foundation, he extended these methods to optimal motion planning for flexible space robots, addressing the complex dynamics of free-floating systems in microgravity environments. More recently, Zhao has advanced vision-based control strategies for car-like mobile robots, tackling the realistic but often overlooked challenges of wheel skidding, slipping, and partial state observability — problems critical to real-world autonomous vehicle deployment. His combined speed and steering control frameworks represent meaningful progress toward robust mobile robot autonomy. Across his career, Zhao's research has consistently bridged theoretical rigor with engineering practicality, making him a notable contributor to both flexible manipulator control and autonomous ground vehicle navigation.