Lei Kou

Qilu University of Technology, Northeast Electric Power University

Papers

Total Citations

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About

Lei Kou is a robotics researcher focused on advancing the precision, control, and affordability of industrial and bipedal robotic systems. His work spans three critical areas: pose repeatability measurement for industrial robot arms, motion control algorithms, and low-cost biped locomotion. In his most cited work (2024, 4 citations), Kou introduced a novel method combining an improved sparrow search algorithm with a generalized cross-correlation function and iterative hard thresholding (ISSA-IGCF-IHT) to measure end-effector pose repeatability—a vital metric for precision manufacturing. Earlier, he addressed mobile robot control by proposing a new integral separated PID algorithm (2016, 4 citations) that reduces fluctuation, overshoot, and response time compared to conventional methods. More recently, Kou developed a spring compensation method based on whole-body control and Linear Quadratic Regulator (LQR) tracking for low-cost biped robots (2023, 3 citations), aiming to democratize bipedal robotics research by improving motion performance without expensive hardware. His work consistently bridges theoretical control methods with practical implementation challenges, contributing to more accurate, responsive, and accessible robotic systems for both industrial automation and humanoid robotics.