Bing Yuan

University of Windsor, University of Jinan

Papers

Total Citations

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About

Bing Yuan’s research career has centered on advancing the frontiers of robotic manipulation, adaptive control, and intelligent automation. His most influential work, “Recursive computation of the Slotine-Li regressor” (2005, 11 citations), tackled a fundamental challenge in adaptive robot control: the computationally intensive derivation of the Slotine-Li regressor matrix. By introducing a recursive algorithm, Yuan made this critical tool more accessible for real-time parameter estimation, enabling more efficient adaptive controllers for rigid-body robots. He further extended this expertise in “A new adaptive robot controller taking account of motor dynamics” (2005, 3 citations), proposing a stable tracking controller that accounted for often-ignored motor dynamics without requiring acceleration feedback—a practical advancement for real-world robotic systems. Yuan’s work also spans mechanical design and automation, as seen in “Design and Research of Omni-directional Moving AGV” (2020, 4 citations), where he explored steering-wheel-integrated drive units for flexible, narrow-space navigation in automated guided vehicles. With a career bridging foundational control theory and applied robotics—including early contributions to lightweight parallel mechanism arms (1988)—Yuan’s research demonstrates a sustained commitment to making robots more adaptive, computationally tractable, and practically deployable in industrial settings.