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About

Shuanggao Li is a prominent researcher specializing in precision manufacturing, metrology-integrated robotics, and intelligent assembly systems, with a particular focus on large-scale aerospace manufacturing challenges. His work addresses some of the most demanding accuracy requirements in modern industrial automation, bridging advanced measurement science with robotic assembly technologies. Li's most impactful contribution, "On-line calibration and uncertainties evaluation of spherical joint positions on large aircraft component for zero-clearance posture alignment" (2018, 39 citations), established innovative frameworks for achieving the extreme positional tolerances required in aircraft assembly. His complementary work on metrology-integrated robot systems (MIRS) introduced iterative and feed-forward compensation methods that demonstrably enhance robotic assembly precision, earning 21 citations since 2016. More recently, Li has embraced artificial intelligence applications in manufacturing, developing convolutional neural network approaches to hand-eye calibration that offer compelling alternatives to traditional methods — a direction that signals his forward-looking research vision. His investigations into cooperative multi-instrument measurement transfer systems further demonstrate his commitment to comprehensive, high-efficiency aerospace manufacturing solutions. Collectively, Li's contributions have meaningfully advanced the field of intelligent precision assembly, making him a valuable reference point for researchers and engineers working at the intersection of robotics, computer vision, and aerospace manufacturing.