Yan Shao

Papers

Total Citations

H-Index

About

Yan Shao is a researcher specializing in precision robotics and manufacturing metrology, with a focus on kinematic calibration and optimization for industrial automation. Their most cited work, "Determination of optimal measurement configurations for polishing robot calibration" (2014, 6 citations), introduces a novel approach to selecting measurement configurations that minimize errors from both measurement and modeling during robot calibration. By employing a modified simulated annealing algorithm, Shao significantly improves the accuracy and reliability of kinematic parameter estimation—a critical contribution for high-precision tasks like polishing. This work has been recognized by peers for its practical impact on reducing calibration complexity and enhancing robot performance in manufacturing settings. Shao’s research bridges theoretical optimization and real-world application, offering valuable insights for engineers and researchers working on robot accuracy, sensor placement, and adaptive calibration strategies. Their contributions support the broader goal of advancing autonomous, high-precision robotic systems in industry.