Yanyan Huang

Nanjing University of Science and Technology

Papers

Total Citations

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About

Yanyan Huang is a researcher in robotics and intelligent systems, with a primary focus on mobile robot localization and optimization algorithms. Their most-cited work, "Monte Carlo localization based on off-line feature matching and improved particle swarm optimization for mobile robots" (2024), has garnered 5 citations, demonstrating early impact in the field. Huang’s major contribution lies in advancing Monte Carlo localization techniques by integrating off-line feature matching with an enhanced particle swarm optimization (PSO) algorithm, addressing key challenges in robot pose estimation under uncertain environments. This hybrid approach improves localization accuracy and computational efficiency, offering practical solutions for autonomous navigation in real-world settings. Huang’s work bridges theoretical optimization methods with applied robotics, providing a foundation for more robust and adaptive mobile robot systems. Their research is particularly relevant for students and engineers developing autonomous vehicles, service robots, or industrial automation platforms. By refining particle filtering and swarm intelligence, Huang contributes to the broader goal of creating reliable, self-localizing robots capable of operating in dynamic, unstructured spaces. As their citation count grows, Huang’s work is poised to influence future advancements in probabilistic robotics and sensor fusion.