Guan Liwen

Papers

Total Citations

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About

Guan Liwen is a leading researcher in industrial robotics, specializing in trajectory optimization, flexible support systems, and stiffness modeling for high-precision manufacturing. Her work addresses critical challenges in automating complex tasks such as spray painting, drilling, and riveting on free-form surfaces. In her most cited paper (2019, 30 citations), she developed a novel trajectory planning method that optimizes transitional segments for spray painting robots, ensuring uniform paint thickness on complex surfaces—a breakthrough for automotive and aerospace industries. Her 2018 study (8 citations) analyzed the impact of flexible supports on industrial robot accuracy, enabling larger workspaces with reduced weight and energy consumption. More recently, her 2021 work (4 citations) introduced static stiffness modeling to enhance the precision of drilling and riveting robots, directly improving assembly quality in manufacturing. Guan’s contributions bridge the gap between theoretical robotics and practical industrial applications, offering scalable solutions for high-mix, low-volume production. Her research is widely cited by engineers and academics seeking to improve robot performance in demanding environments, making her a key figure in advancing smart manufacturing technologies.