Lili Wu

Zhejiang DongFang Vocational and Technical College, Beijing Jingshida Electromechanical Equipment Research Institute

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About

Lili Wu is a distinguished researcher specializing in nonlinear control systems, mobile robotics, and intelligent control methodologies. Her work sits at the dynamic intersection of chaos theory, fuzzy logic, and advanced motion planning, addressing some of the most challenging problems in autonomous robotic systems. Wu's most influential contribution, "Chaotic Synchronization in Mobile Robots" (2022, 21 citations), demonstrates her pioneering application of chaos dynamics to robotic trajectory control, leveraging the inherent unpredictability of chaotic systems to enhance robot navigation capabilities. Complementing this, her highly cited work on Type-3 Fuzzy Model-based optimal control (2023, 19 citations) tackles the formidable challenge of managing non-holonomic constraints and environmental uncertainties in wheeled mobile robots, representing a significant advancement in intelligent control design. Wu's research extends further into model-free approaches, as evidenced by her data-driven Model Predictive Control framework for snake robots, which integrates Koopman operator theory with extended state observers to achieve robust path following without prior model knowledge. Collectively, her publications reflect a researcher committed to bridging theoretical control frameworks with practical robotic applications, making her work essential reading for engineers and researchers navigating the evolving landscape of autonomous systems.