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About

Zhanxiong Wu’s research centers on industrial robotics, with a particular focus on trajectory planning, kinematics, and real-time control systems. His work addresses critical challenges in robot motion, including collision avoidance, path accuracy, and computational efficiency. Wu’s most cited paper, “A fixed-distance Cartesian path planning algorithm for 6-DOF industrial robots” (2015), proposes a method for generating collision-free trajectories that pass through predefined spatial points, contributing to safer and more precise industrial automation. He has also advanced hardware-based interpolation through FPGA implementations (2014), improving the speed and accuracy of numerical control systems. Additionally, Wu has explored time-optimal trajectory planning using particle swarm optimization (2015) and refined kinematics algorithms based on the D-H coordinate system (2016), enhancing the real-time performance of six-joint industrial robots. While his citation counts are modest—ranging from 2 to 6—his work provides foundational insights for engineers developing efficient, high-precision robotic systems. Wu’s contributions are particularly valuable for researchers and practitioners seeking to optimize industrial robot motion in manufacturing and automation contexts.