Xiaolian Liu

Huazhong University of Science and Technology, Taiyuan University of Science and Technology

Papers

Total Citations

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About

Xiaolian Liu is an emerging researcher in robotics and control systems, with a primary focus on enhancing robot–environment interaction through advanced impedance control strategies. Liu’s most significant contributions lie in the development of fractional-order impedance control for robot manipulators, a novel approach that moves beyond traditional linear viscoelastic models to more accurately describe the dynamic behavior of impedance systems. This work, detailed in two highly cited papers from 2021 and 2022, addresses the critical challenge of reducing contact forces during positioning errors, enabling robots to operate more compliantly and safely in real-world tasks. The 2022 paper alone has garnered 12 citations, underscoring its impact on the field. In addition to robotics, Liu has ventured into agricultural and industrial applications, notably through a 2025 study on parameter calibration of fermented grain particles using discrete element modeling, aimed at optimizing robotic end-effector design for liquor distillation. This interdisciplinary work demonstrates Liu’s versatility and commitment to bridging theoretical control methods with practical engineering challenges. With a growing citation record and a focus on both fundamental theory and applied solutions, Xiaolian Liu is a promising voice in modern robotics and control engineering.