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About

Xingsheng Xu is a researcher specializing in robotics, control systems, and sensor technology, with a particular focus on hyper-redundant manipulators and precision force measurement. His most impactful work, "Fault-tolerant measurement mechanism research on pre-tightened four-point supported piezoelectric six-dimensional force/torque sensor" (2019, 34 citations), addresses critical challenges in sensor reliability for robotic applications, proposing a novel fault-tolerant design that enhances measurement accuracy in demanding environments. Xu has made significant contributions to the control of complex robotic systems, including the development of an automated particle swarm optimization-based PID tuning method for robotic arm torque control (2016, 11 citations) and a multi-input multi-output adaptive torque controller for 9-DOF hyper-redundant manipulators (2016, 6 citations). His foundational work on the design and construction of a 9-DOF hyper-redundant robotic arm (2014, 4 citations) established a practical platform for validating kinematic algorithms and motion control strategies. With a cumulative citation count exceeding 55, Xu’s research bridges theoretical control design and practical implementation, advancing the capabilities of redundant manipulators and sensor systems for industrial and research applications.