Yuanyuan Qu

China University of Mining and Technology

Papers

Total Citations

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About

Yuanyuan Qu is a researcher specializing in robotics, automation, and intelligent control systems for heavy machinery, with a particular focus on mining and industrial applications. Their major contributions lie in developing advanced trajectory planning and path correction algorithms for boom roadheaders and wheeled robots operating in challenging underground environments. Qu’s most-cited work, "Path Correction of the Boom Road‐Header in Coal Mining Based on State Estimation" (2019, 5 citations), introduces a novel position and orientation deviation model for trajectory tracking, validated through simulations to enhance mining efficiency and safety. Another notable study, "Model and simulation of four-wheeled robot based on Mecanum wheel" (2016, 3 citations), innovatively combines Mecanum wheels with planetary wheel groups to improve robot mobility and maneuverability. Additionally, Qu’s research on cutting trajectory planning using improved particle swarm optimization (2019, 3 citations) demonstrates a commitment to optimizing automated cutting processes. With a growing citation impact, Qu’s work bridges theoretical control methods and practical industrial automation, offering valuable insights for students and researchers in robotics, mining engineering, and intelligent systems.