Ping Xu

Hangzhou Dianzi University, Civil Aviation University of China, Tongji University

Papers

Total Citations

H-Index

About

Ping Xu is a researcher whose work sits at the intersection of intelligent robotics, tactile sensing, and control systems. Their key research areas include hardness recognition for robotic manipulation, image-based structural monitoring, and the dynamics of passive walking robots. Xu’s most notable contribution is the development of a tactile sensor for hardness recognition based on magnetic anomaly detection (2018, 4 citations), a novel approach that leverages high-performance magnetic field sensing to enhance robotic gripping, agricultural harvesting, and prosthetic hand applications. In structural monitoring, Xu proposed a grid breakage detection algorithm using an improved Harris corner detector (2011, 4 citations), introducing a gray similarity parameter to significantly reduce computational time—a practical advance for real-time warning systems. More recently, Xu developed a speed regulating controller for virtual passive walking robots (2020, 2 citations), deriving a control law from the relationship between walking speed and gravitational acceleration. While citation counts are modest, Xu’s work demonstrates creative cross-disciplinary thinking, combining magnetic sensing, image processing, and biomechanical principles to solve practical engineering challenges in robotics and automation.