Haotian Shi

Papers

Total Citations

119

H-Index

About

Haotian Shi is a leading researcher in advanced manufacturing and intelligent machining, with a primary focus on robotic drilling and chatter monitoring. His work addresses a critical challenge in aviation manufacturing: the detrimental effects of chatter on surface finish and machining system stability. Shi’s major contributions include developing innovative signal processing methods for real-time chatter identification and suppression. His 2019 paper, "Timely chatter identification for robotic drilling using a local maximum synchrosqueezing-based method," has garnered 69 citations, demonstrating its impact on the field. He further advanced this area with "A pre-generated matrix-based method for real-time robotic drilling chatter monitoring" (50 citations), which introduced a novel approach combining matrix notch filters and fast wavelet packet decomposition to enable efficient, real-time monitoring. By tackling the restrictions that chatter imposes on robotic drilling operations, Shi has directly improved both the quality and efficiency of aviation manufacturing processes. His work is essential reading for researchers and engineers seeking to enhance automation and precision in high-stakes industrial applications.