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About

Lin Liangming is a pioneering researcher in biomedical robotics and intelligent control systems, with a career focused on advancing minimally invasive surgical technologies and bio-inspired actuation. His most influential work, "A study on the endoscope system driven by squirmy robot" (17 citations), introduced an innovative approach to medical endoscopy by mimicking biological locomotion, addressing critical limitations in miniature injury surgery. Liangming further advanced the field through his research on pneumatic artificial muscles, applying neural network-based nonlinear control strategies to enhance the precision and responsiveness of medical robots. His contributions to multi-robot coordination, demonstrated in his work on dynamic programming-based path planning, have implications for collaborative surgical systems. Additionally, Liangming developed novel optimization methods, including an augmented Lagrange multiplier-based fuzzy evolutionary algorithm, to solve complex constrained problems in robotics. With a citation record spanning foundational papers in biomedical engineering and control theory, his work has laid important groundwork for the next generation of intelligent, minimally invasive medical devices and autonomous robotic systems.