Shuqing Chen

Papers

Total Citations

H-Index

About

Shuqing Chen is a leading researcher in precision robotics and intelligent manufacturing, whose work focuses on enhancing the accuracy and efficiency of automated assembly and manipulation systems. Chen’s major contributions center on solving critical pose measurement and alignment challenges in industrial robotics. In their highly cited 2022 study, Chen introduced a novel method for spacecraft component assembly using assembly features and a consistent coordinate system, achieving remarkable precision in complex, high-stakes environments. This work, with 13 citations, has become a foundational reference for aerospace manufacturing. Chen’s 2020 paper, cited 11 times, tackled the pervasive issue of pose deviation between robot end effectors and target objects during pick-and-place tasks. By designing an integrated end effector with a built-in measurement system, Chen significantly reduced error sources, enabling more reliable automation for square object handling. This innovation directly addresses the growing demands of future manufacturing for higher accuracy and robot participation. Chen’s research bridges the gap between theoretical metrology and practical robotic applications, making their work essential reading for engineers and researchers advancing precision automation in aerospace, electronics, and general manufacturing.