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About

Yulan Wei’s research focuses on the intersection of robotics, vibration control, and machine vision, with a particular emphasis on enhancing the precision and responsiveness of multi-axis and parallel robotic systems. Her major contributions include pioneering hybrid input shaping control strategies that effectively suppress residual vibrations in multi-modal robotic systems—a critical challenge for high-speed, high-accuracy applications. In her most-cited work (7 citations), she developed a multi-mode control scheme that balances vibration reduction with system response time, offering a practical solution for industrial robots. More recently, she has advanced hand–eye coordination by integrating YOLOv5 with attention modules, addressing persistent issues of low precision and missed detections in small workpiece recognition and grasping. Her work on 3-DOF planar parallel robots further demonstrates her commitment to open, extensible control platforms, using a “PC+ Motion Control Card” architecture to overcome the limitations of enclosed controllers. With a growing citation record and a clear trajectory from foundational vibration theory to applied vision-based robotics, Wei’s research is shaping more reliable, intelligent automation systems for manufacturing and assembly.