Mengyang Lyu

Papers

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About

Dr. Mengyang Lyu is a leading researcher in robotics and intelligent control systems, with a primary focus on visual servoing and neuro-fuzzy control for articulated manipulators. Their most-cited work, "A Neuro-Fuzzy Visual Servoing Controller for an Articulated Manipulator" (2018, 35 citations), addresses critical challenges in robotic vision, including the selection of optimal image features, reduction of nonlinear computation complexity, and minimization of approximation errors. Dr. Lyu developed a sophisticated fuzzy neural network controller for a six-degrees-of-freedom robot manipulator, enabling precise real-time visual servoing without the need for explicit mathematical models. This innovative approach significantly enhances robotic autonomy and adaptability in dynamic environments. With 35 citations, this paper has become a foundational reference for researchers tackling visual servoing limitations. Dr. Lyu's contributions bridge the gap between fuzzy logic and neural networks, offering practical solutions for industrial and service robotics. Their work continues to inspire advances in intelligent automation and human-robot interaction.