Guanying Yang

Henan University of Technology, University of Minnesota

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About

Guanying Yang is a researcher whose work spans robotics, mechanical engineering, and computational kinematics, with particular expertise in robot manipulator design, workspace analysis, and dynamic modeling. Yang's contributions have meaningfully advanced the practical understanding of how robotic systems can be optimized for real-world engineering applications. Among Yang's most recognized work is the development of an integrated method for computing the three-dimensional workspace of robot manipulators, addressing critical limitations of earlier analytical approaches that proved impractical from an engineering standpoint. Complementing this, Yang's systematic approach to determining the shape and size of planar robot workspaces — leveraging the Monte Carlo method — offered a more rigorous computational framework for evaluating manipulator geometry and kinematic performance. These two 2009 contributions have collectively garnered 18 citations, reflecting their value to researchers in robotic design and optimization. Yang's earlier work on the dynamic modeling of two-link robot manipulators, accounting for both structural and joint flexibility, demonstrates a long-standing commitment to understanding the complex physical behaviors that govern robotic motion. This 1988 paper remains a cited reference, highlighting the enduring relevance of Yang's foundational research across several decades and underlining a career dedicated to bridging theoretical robotics with practical engineering insight.