Xiaobiao Shan

Papers

Total Citations

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About

Xiaobiao Shan is a robotics researcher whose work centers on the control and actuation of robotic systems, with a particular focus on improving precision and reducing vibration in industrial and deep-sea applications. His most cited paper, "A simple linear driving actuator for robotic arm used in land-deep sea" (2022, 11 citations), introduces an innovative actuator design tailored for the challenging transition between terrestrial and underwater environments. Shan’s significant contribution to vibration control is demonstrated in his 2020 work on "Linear System Identification and Vibration Control of End-Effector for Industrial Robots" (7 citations), where he developed a discrete state-space mathematical model of an industrial robot’s end-effector. By simplifying the end-effector as a cantilever beam, he designed a Linear-Quadratic-Gaussian (LQG) controller that effectively mitigates low-frequency vibrations—a critical issue for precision tasks. Though his citation counts are modest, Shan’s work represents foundational steps in bridging theoretical control methods with practical robotic hardware, offering valuable insights for researchers tackling actuation and stability in demanding environments.