Yaoquan Chu

University of Science and Technology of China

Papers

Total Citations

H-Index

About

Dr. Yaoquan Chu is a leading figure in astronomical instrumentation, with a focused expertise in the precision engineering and automation of fiber-optic positioning systems for large-scale spectroscopic surveys. His most impactful work centers on the Large Sky Area Multi-Object Fiber Spectroscope Telescope (LAMOST), where he has made critical contributions to enhancing the accuracy and reliability of its double revolving fiber positioning units (FPUs). Dr. Chu’s research uniquely bridges mechanical robotics and cutting-edge artificial intelligence, as demonstrated in his highly cited 2021 paper, “LAMOST Fiber Positioning Unit Detection Based on Deep Learning” (9 citations). This work pioneered the use of deep learning algorithms to detect and correct FPU positioning errors, directly addressing the fundamental challenge of initial parameter uncertainty in robotic systems. By integrating AI-driven detection with traditional robot accuracy methods, his contributions have significantly improved LAMOST’s observational efficiency and data quality, enabling more precise multi-object spectroscopy. Dr. Chu’s innovative approach represents a vital step forward in automating the calibration of complex astronomical instruments, solidifying his reputation as a key innovator in the field of telescope automation and precision mechatronics.