Chaoying Liu

Shijiazhuang Tiedao University, Hebei University of Science and Technology

Papers

Total Citations

H-Index

About

Chaoying Liu’s research focuses on robotic path planning, spray painting optimization, and mechanical wrist dynamics. In her most-cited work (2012, 9 citations), she optimized spraying path overlap rates for high-speed electrostatic rotation bells, analyzing β-distributed deposition models to improve coating uniformity—a contribution with direct industrial application. Her 2017 study (6 citations) advanced mobile robot navigation by extending the artificial potential field method to dynamic environments, accounting for moving targets and obstacles, which is critical for real-world autonomous systems. Earlier, in 2008, she performed dynamic analysis of continuous 3R oblique axis non-spherical wrists, introducing virtual link concepts and graph representations to model complex robotic joints. While her citation counts are modest, her work addresses practical challenges in manufacturing and robotics, bridging theoretical modeling with applied solutions. Liu’s research demonstrates a consistent focus on enhancing automation precision and adaptability, from paint deposition to obstacle avoidance, making her contributions valuable for engineers developing more efficient and responsive robotic systems.