Yanxu Su

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About

Yanxu Su is a rising researcher in robotics and control systems, whose work bridges the gap between autonomous navigation and advanced manipulator control. His primary research areas include mobile robot path planning, motion control, and the application of sliding mode control techniques to cable-driven systems. Su’s most notable contribution is his 2025 paper on "Dynamic Path Planning for Mobile Robots Based on Improved RRT* and DWA Algorithms," which has already garnered 20 citations. This work addresses critical limitations in traditional path planning—low efficiency, excessive invalid exploration points, and poor adaptability to unknown dynamic environments—by fusing an enhanced Rapidly-exploring Random Tree Star (RRT*) algorithm with the Dynamic Window Approach (DWA). In his earlier 2022 study, Su introduced a time delay estimation (TDE)-based adaptive super-twisting multivariable fast terminal sliding mode control for cable-driven manipulators, achieving high-precision trajectory tracking under complex uncertainties while enforcing safety constraints on tracking errors. Though still early in his career, Su’s innovative integration of path planning and robust control strategies demonstrates significant potential for advancing autonomous robotic systems in real-world dynamic settings.