Qiaorong Zhang

Harbin Engineering University, Henan University of Economic and Law

Papers

Total Citations

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About

Qiaorong Zhang is a researcher specializing in mobile robotics and computational intelligence, with a particular focus on autonomous navigation and path planning. Her work has made meaningful contributions to the field of robot motion planning by applying swarm intelligence algorithms to solve complex optimization problems. Most notably, Zhang developed innovative global path planning approaches for mobile robots using particle swarm optimization (PSO) techniques, treating navigation challenges as constrained optimization problems where robots must find optimal routes while avoiding obstacles. Her 2008 paper introducing a binary particle swarm optimization (BPSO)-based path planning method, which represents environmental obstacles as numbered polygonal structures, has garnered 30 citations and stands as her most influential work. This was built upon her earlier 2007 contribution exploring standard PSO for mobile robot navigation in static environments, which has received 14 citations. Together, these works reflect a coherent and progressive research agenda aimed at making autonomous robot navigation more efficient and computationally tractable. Zhang's research sits at the productive intersection of artificial intelligence and robotics, offering practical algorithmic solutions that continue to inform subsequent developments in autonomous systems and intelligent path planning methodologies.