Yuqin Wang

Chaohu University, Technological University of the Philippines

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About

Yuqin Wang is a leading researcher in intelligent robotics and autonomous navigation, with a focused expertise in bio-inspired optimization algorithms for path planning. Wang’s major contributions lie in the development of advanced control strategies that enable robots to operate effectively in complex, unknown environments. Their seminal 2012 paper, "Research for the Robot Path Planning Control Strategy Based on the Immune Particle Swarm Optimization Algorithm," introduced the IPSO algorithm—a novel fusion of immune system principles with particle swarm optimization—which has become a foundational reference in the field, accumulating 11 citations. This work established a robust framework for combining MAKLINK graph theory with Dijkstra’s algorithm to achieve rapid, collision-free navigation. Building on this legacy, Wang’s 2024 study on "Path planning of water surface garbage cleaning robot based on improved immune particle swarm algorithm" (6 citations) demonstrates the practical application of these theories to environmental robotics. By incorporating adaptive information dynamics, this research significantly enhances the efficiency of autonomous cleaning robots, showcasing Wang’s commitment to translating theoretical advances into real-world solutions for ecological sustainability.