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About

Xianzhong Dai is a prominent robotics researcher whose work spans industrial robot calibration, human-robot interaction, autonomous navigation, and advanced control systems. Based at the intersection of theoretical robotics and practical manufacturing applications, Dai has made substantial contributions to making robotic systems safer, more precise, and more adaptable in real-world environments. His most influential work, "Adaptive Variable Impedance Control for Dynamic Contact Force Tracking in Uncertain Environments" (2018), has garnered nearly 400 citations, establishing him as a leading voice in compliant robot control. This research addresses a fundamental challenge in robotics: enabling robots to interact safely and accurately with unpredictable surroundings. Complementing this, his investigations into sensorless collision detection, finite-time disturbance observers, and model-based dynamics identification have collectively advanced the field of safe human-robot collaboration without relying on costly additional sensors. Dai has also made meaningful contributions to industrial automation, including robot kinematic calibration using drawstring displacement sensors, offline programming for spray-painting robots, and multi-robot coordination in complex welding tasks. His work on socially acceptable robot navigation further reflects a human-centered design philosophy. Together, his publications demonstrate a researcher deeply committed to bridging rigorous control theory with the practical demands of modern intelligent manufacturing and service robotics.