Zhenwen Su

Papers

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About

Zhenwen Su is a pioneering researcher in mobile robotics and intelligent control systems, with a focus on path planning and autonomous navigation. His most influential work, "Application of Fuzzy Neural Network in Parameter Optimization of Mobile Robot Path Planning Using Potential Field" (2007), introduced a novel hybrid algorithm that integrates artificial potential fields, fuzzy logic, and neural networks to enable real-time obstacle avoidance and dynamic path optimization. This approach significantly advanced the efficiency and adaptability of mobile robot navigation in complex environments. With 9 citations, the paper remains a foundational reference for researchers exploring soft computing techniques in robotics. Su’s contributions lie at the intersection of computational intelligence and robotics, demonstrating how fuzzy neural networks can overcome the limitations of traditional path planning methods. His work has practical implications for autonomous systems, from warehouse logistics to search-and-rescue operations. By combining theoretical rigor with applied problem-solving, Su has established himself as a key figure in the development of intelligent, adaptive robotic systems.