Qinwu Liao

University of Shanghai for Science and Technology

Papers

Total Citations

H-Index

About

Qinwu Liao’s research focuses on the intersection of multi-robot coordination, nonlinear control systems, and machine vision. His work addresses fundamental challenges in autonomous robotics, particularly in formation control and visual servoing. In his most-cited paper, “Sliding Mode Control for Multi-robot Formation” (2008), Liao proposed a nonlinear sliding mode controller that coordinates nonholonomic mobile robots in obstacle-free environments, using feedback linearization to achieve robust formation stability. This contribution has garnered 5 citations and laid groundwork for decentralized multi-agent systems. In parallel, his paper “Robust regulation of nonholonomic mobile robots with visual servoing” (2008) tackled the complexity of vision-based robot regulation with monocular cameras, introducing a two-step robust control strategy to handle uncertain nonholonomic kinematics—a significant advance for visual feedback systems. Liao also contributed to practical machine vision with “Applied research of OpenCV-based camera calibration” (2009), which developed an online real-time calibration method using the OpenCV library, enhancing accessibility for robotics applications. Though his citation counts are modest, Liao’s work demonstrates a focused effort to bridge theoretical control design with real-world robotic vision and coordination, offering valuable insights for researchers in autonomous systems and nonlinear control.