Lu-Sin Liu

National Taipei University of Technology, China University of Science and Technology

Papers

Total Citations

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About

Lu-Sin Liu is a pioneering researcher in the field of robotic calibration and positioning accuracy, whose foundational work has shaped modern precision robotics. His key research areas center on robot calibration methodologies, optimal configuration data analysis, and the enhancement of robotic positioning systems. Liu's major contributions include developing innovative calibration methods based on flat surfaces, which provided a practical and cost-effective approach to improving robot accuracy. His seminal 1994 study on three robot calibration methods based on flat surfaces (7 citations) established a framework that remains influential in industrial robotics. In his 2005 work on enhancing robot positioning accuracy using optimal configuration data (4 and 3 citations), Liu demonstrated that uniaxial or biaxial robot pose data can lead to significant deviations in coordinate dimensions, proposing instead that optimal configuration data dramatically improves calibration precision. This insight has been critical for applications requiring high-accuracy robotic manipulation, such as automated manufacturing and assembly. Though his citation counts are modest, Liu's research represents foundational knowledge in robotic calibration, and his work continues to be referenced by engineers and researchers seeking to optimize robot performance in real-world settings.