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About

Yin Guo is a researcher specializing in precision metrology, robotic measurement systems, and industrial computer vision, with significant contributions to the advancement of automated inspection and calibration technologies in modern manufacturing. His most influential work, a 2014 study on integrated 3D scanning systems for large-scale metrology (115 citations), established robust methodologies for achieving high-accuracy dimensional measurement across complex industrial environments. Complementing this, his research on multilevel calibration techniques for industrial robots with parallelogram mechanisms (68 citations) addressed critical challenges in improving the kinematic accuracy of robotic systems. Guo has also made meaningful contributions to tool center frame (TCF) calibration for robotic visual measurement and real-time thermal error compensation, enhancing the reliability and precision of vision-guided robotic platforms under varying operating conditions. His later work expanded into mobile robotics, exploring photoelectric positioning for omnidirectional AGVs equipped with Mecanum wheels, monocular-based 6-DOF pose estimation for intelligent robotic grasping, and rapid global calibration for hybrid visual inspection systems. Together, these contributions reflect a coherent research vision aimed at bridging precision measurement science with intelligent robotic automation, making Guo a notable figure in advanced manufacturing technology.