Yuanyuan Fan

Papers

Total Citations

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About

Yuanyuan Fan is a researcher whose work lies at the intersection of swarm intelligence and robotic motion planning. Her most cited study, “Robot Path Planning based on Swarm Intelligence” (2014, 6 citations), addresses the fundamental challenge of robot path planning as an NP-hard problem. Fan identifies the limitations of traditional optimization methods like genetic algorithms, which often become trapped in local optima, and proposes the application of Particle Swarm Optimization (PSO)—a technique inspired by the collective behavior of bird flocks and fish schools. By leveraging PSO’s decentralized, self-organizing principles, Fan’s work offers a more robust and efficient approach to navigating complex environments. This contribution is particularly valuable for autonomous systems requiring real-time adaptability. Though her citation count is modest, Fan’s research provides a clear and practical bridge between biological swarm behavior and computational problem-solving, making it a useful reference for students and engineers exploring nature-inspired algorithms in robotics.