Shengqian Li

Guangzhou Academy of Special Equipment Inspection and Testing, South China University of Technology

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About

Shengqian Li is a researcher specializing in robotics and intelligent control systems, with a focus on underwater welding robots and automated manufacturing processes. His primary research areas include active disturbance rejection control (ADRC), trajectory tracking, and model compensation techniques for robotic systems operating in challenging environments. Li’s most significant contributions involve developing advanced control strategies to address the inherent nonlinearity, uncertainty, and time-varying dynamics of underwater welding robots. His 2022 paper on sliding mode ADRC for welding tracking technology, with 8 citations, proposes a robust solution for precise trajectory control in underwater conditions, while his 2023 work on model-compensated ADRC, cited 4 times, enhances disturbance estimation and compensation for improved stability. Additionally, his 2014 research on robotic trajectory generation for complex surface grinding and polishing, though less cited, demonstrates his broader expertise in automation for industrial applications. Li’s work is notable for bridging theoretical control methods with practical robotic implementations, offering valuable insights for students and researchers in robotics, mechatronics, and marine engineering. His contributions underscore the potential of ADRC in advancing autonomous systems for hazardous underwater tasks.