Shunyao Yang

Southwest University of Science and Technology

Papers

Total Citations

H-Index

About

Shunyao Yang is a robotics researcher whose work focuses on solving critical challenges in robot calibration and teleoperation systems. Yang’s primary research areas include hand-eye calibration for robotic systems and workspace mapping for master-slave isomeric robots. In their most cited work, "An Improved Hand-eye Calibration Method Based on 3D Position Information" (2022, 3 citations), Yang addressed a fundamental problem in robotics: unifying robot and measurement coordinate systems while mitigating errors from geometric parameter inaccuracies and joint angle drift. This contribution enhances the precision and reliability of robotic perception and manipulation. Yang’s second key paper, "Workspace Mapping Method Based on Edge Drifting for the Teleoperation System" (2022, 3 citations), introduces a novel position-joint hybrid mapping approach that improves safety and stability in teleoperated isomeric robots. By dividing teleoperation into distinct phases and applying edge drifting techniques, Yang’s method enables more intuitive and secure remote control. Though early in their career, Yang’s work demonstrates a clear focus on practical, implementable solutions that advance the robustness of robotic systems, making their research valuable for engineers developing autonomous and teleoperated platforms in manufacturing, surgery, and hazardous environments.