Bao‐Liang Song

Huazhong University of Science and Technology

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About

Bao-Liang Song is a researcher specializing in robotics and adaptive control systems, with a focus on enhancing the precision and stability of industrial robots. His major contributions lie in kinematic calibration and switching adaptive control, addressing critical challenges in robot manipulator accuracy and nonlinear system stabilization. His most cited work, "A distance calibration method for kinematic parameters of serial industrial robots considering the accuracy of relative position" (2022), has garnered 40 citations, demonstrating its impact on improving robotic positioning through innovative calibration techniques. Additionally, his study on "Switching Adaptive Control with Applications on Robot Manipulators" (2022) advances finite-time stabilization for nonlinear systems using the adding a barrier power integrator method, offering robust solutions for dynamic control environments. Song’s research bridges theoretical control strategies with practical robotic applications, making him a notable figure in the field. His work is particularly valuable for students and researchers exploring precision robotics and adaptive algorithms, as it provides actionable methods for enhancing industrial automation performance.