Lei Yanmin

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About

Lei Yanmin is a researcher focused on intelligent control systems and robotics, with key contributions in the application of bio-inspired algorithms and fuzzy logic to motion control and neural network optimization. Their work bridges computational intelligence and practical robotics, addressing challenges such as nonlinearity, time variance, and interference in autonomous systems. Notably, Lei proposed a method integrating the Artificial Fish Swarm Algorithm (AFSA) with Fuzzy Neural Networks (FNN), establishing the AFSA-FNN1 model to simplify fuzzy rules and optimize network structures—a novel approach to solving complex optimization problems. In robotics, Lei developed a fuzzy adaptive PID algorithm for the UP-Voyager II autonomous mobile robot, enhancing motion control under dynamic and uncertain conditions. While their most-cited papers each hold 2 citations, these foundational studies demonstrate early innovation in merging swarm intelligence with adaptive control. Lei’s work offers valuable insights for researchers exploring hybrid intelligent systems, particularly in robotics and automation, and lays groundwork for further advancements in autonomous vehicle control and neural network tuning.