Lingling Wang

Papers

Total Citations

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About

Lingling Wang is a researcher in robotics and swarm intelligence, with a focus on bio-inspired algorithms for autonomous navigation. Her most-cited work, "A New Algorithm for Robot Path Planning Based on Scout Ant Cooperation" (2008, 7 citations), introduces a novel approach that mimics the collaborative foraging behavior of ants to solve path planning problems in robotics. In this algorithm, multiple scout ants employ a nearest-neighbor search strategy to cooperatively identify optimal or near-optimal paths, offering a decentralized and efficient solution for robot movement in complex environments. This contribution bridges the gap between biological swarm behavior and practical robotic applications, demonstrating how simple, local interactions can yield robust global outcomes. Wang’s research has implications for autonomous systems, logistics, and exploration, where adaptive and scalable path planning is critical. While her citation count reflects a focused niche, her work represents a meaningful step in integrating natural intelligence into artificial systems, inspiring further studies in swarm robotics and optimization.