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About

Zhen Sui is a robotics researcher whose work bridges industrial automation, humanoid robotics, and intelligent fault diagnosis. His research centers on solving fundamental challenges in robot kinematics, control systems, and condition monitoring. Sui’s most influential work, “Genetic Algorithm for Solving the Inverse Kinematics Problem for General 6R Robots” (2015), has accumulated 18 citations by offering a robust, population-based solution to a notoriously complex geometric problem in industrial robotics. He also made early contributions to humanoid design with the PADW-II biped robot (2010), which introduced an efficient bisector mechanism for the upper body, demonstrating how mechanical structure can be optimized for dynamic walking. More recently, Sui has advanced the field of predictive maintenance, proposing a novel gearbox fault diagnosis method that fuses multi-scale empirical mode decomposition with a 1D CNN-bidirectional GRU architecture (2025). This work addresses the critical need for adaptive, data-driven diagnostics under complex operating conditions. He has also tackled vibration control in hydraulically driven flexible robotic arms through singular perturbation decoupling and composite control (2025), a contribution with direct applications in aerospace and nuclear waste handling. Across these diverse efforts, Sui consistently combines theoretical rigor with practical system implementation.