Shuwei Qiu

Western University, Wuhu Hit Robot Technology Research Institute

Papers

Total Citations

H-Index

About

Shuwei Qiu’s research lies at the intersection of robotic perception and dexterous manipulation, with a focus on solving fundamental geometric and kinematic problems that bridge vision and action. Qiu’s most influential work redefines the classic hand–eye calibration problem—traditionally formulated as AX = XB—by recasting it as a point-set matching problem. This novel formulation, published in 2020 and cited 27 times, demonstrably improves calibration accuracy over conventional methods, enabling more reliable sensorimotor coordination in robotic systems. Building on this foundation, Qiu developed a fast, accurate calibration algorithm on SO(3) × ℝ³, further advancing practical deployment. In parallel, Qiu has made significant contributions to precision grasping by addressing the inverse kinematics of high-dimensional arm–hand systems. Treating the integrated system as a hybrid parallel-serial mechanism, Qiu proposed a novel IK solution for kinematically over-constrained precision grasps—a problem that had resisted straightforward solution. This work, with 15 and 14 citations respectively, draws inspiration from human grasping strategies to achieve stable fingertip grasps. Qiu’s research is notable for its theoretical rigor and direct applicability to real-world robotic manipulation, making it essential reading for researchers in robot calibration and dexterous grasping.