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About

Yi Zang is a robotics researcher whose work centers on the computational analysis of robot manipulator workspaces and motion planning. Over the course of his career, Zang has made significant contributions to the precise numerical determination of workspace geometry — a foundational challenge in robot design and optimization. His most influential work, "Accurate Numerical Methods for Computing 2D and 3D Robot Workspace" (2011), has garnered 74 citations and is widely recognized for systematically addressing the limitations of Monte Carlo-based approaches, presenting improved strategies that yield more reliable and exact workspace computations. This was built upon his earlier investigations, including an integrated workspace computation method (2009, 11 citations) and a dedicated study on planar robot workspace shape and size (2009, 7 citations), which together established a coherent methodological framework for both two- and three-dimensional analysis. More recently, Zang extended his research into path planning, exploring obstacle-avoiding workspace modeling to bridge theoretical workspace computation with practical robotic navigation challenges. His body of work reflects a consistent drive to translate rigorous mathematical methods into engineering-relevant solutions, making his research particularly valuable to scholars and practitioners working in robot kinematics, design optimization, and autonomous motion planning.