Kun-Ying Li

National Chin-Yi University of Technology

Papers

Total Citations

H-Index

About

Kun-Ying Li is a researcher advancing the precision and automation of robotic manufacturing systems, with a focus on sensor calibration and trajectory optimization. His work addresses critical challenges in industrial robotics, particularly in 3D deburring and sensor-robot coordination. In his 2023 paper on automatic calibration, Li developed a method using a distance sensing module to accurately align a 2D profile sensor with a robotic arm, eliminating manual intervention and improving setup efficiency. His 2022 study on 3D deburring introduced a Random Sample Consensus (RANSAC)-based trajectory recognition method to overcome the limitations of offline programming, enhancing the dimensional accuracy of machined workpieces. While his citation counts are currently modest, these contributions represent foundational steps toward more adaptive and precise robotic systems. Li’s work is particularly relevant for researchers and engineers seeking to automate calibration processes and improve the quality of robotic deburring in manufacturing environments, where even minor trajectory errors can lead to significant workpiece defects. His focus on practical, implementable solutions positions him as a rising contributor to the field of industrial robotics and automation.