Yupeng Liu

Papers

Total Citations

H-Index

About

Yupeng Liu is a rising researcher in robotics and control systems, with a focus on enhancing the precision and performance of servo-driven and robotic manipulator systems. His work addresses critical challenges in human–robot interaction and industrial automation, particularly through the development of advanced control strategies and vibration mitigation techniques. Liu’s most-cited paper, “Closed-Loop Iterative Optimized Fractional-Order PID Current Control of PMSM” (2024), introduces a novel CIO approach for improving current tracking in permanent magnet synchronous motors, offering a robust alternative to traditional proportional-integral-derivative controllers. This work has already garnered 8 citations, reflecting its immediate relevance to high-performance torque control in robotics. In his 2025 review, “Vibration Suppression of Robotic Manipulators,” Liu synthesizes key methods for addressing structural vibrations that degrade accuracy in lightweight, flexible manipulators—a growing concern in precision manufacturing. Though early in his career, Liu’s contributions are notable for bridging theoretical optimization with practical servo control, positioning him as a promising voice in next-generation robotics and automation research.