Xiaoli Luan
Papers
1
Total Citations
2
H-Index
1
About
Dr. Xiaoli Luan is a leading researcher in the field of robotic automation and manufacturing, with a primary focus on intelligent trajectory planning and surface estimation for industrial painting systems. Her most-cited work, "Paint surface estimation and trajectory planning for automated painting systems" (2023), addresses a critical challenge in precision manufacturing: enabling six-degree-of-freedom (6DOF) robots to accurately estimate complex paint surfaces and generate optimal spraying trajectories. By developing kinematic models and coordinate transformation algorithms for articulated spraying robots, Dr. Luan’s research directly improves coating uniformity, reduces material waste, and enhances the efficiency of automated painting processes in industries such as automotive and aerospace manufacturing. Her contributions bridge the gap between theoretical robotics and practical industrial applications, offering scalable solutions for high-precision surface treatment. With her work gaining increasing attention—already accumulating citations shortly after publication—Dr. Luan is establishing herself as an emerging authority in manufacturing automation. Her research not only advances robotic dexterity and real-time path planning but also promises to transform traditional painting workflows into smarter, more sustainable operations.
Research Focus
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Top Papers
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