Yanqin Li

China Three Gorges University, Henan Polytechnic University

Papers

Total Citations

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About

Yanqin Li’s research lies at the intersection of multi-robot cooperation, wireless communication, and sensor fusion for autonomous navigation. Her early work established a foundational communication framework for multi-robot systems using ZigBee networks, enabling robust, low-power coordination in swarm robotics. This contribution, cited 8 times, solved a critical bottleneck in distributed robot collaboration. More recently, Li has advanced the field of mobile robotics by addressing a key limitation in visual SLAM: the lack of depth information in image features. Her 2022 paper on fusing image data with laser point clouds introduces a novel algorithm that mitigates scale ambiguity and tracking failure, achieving more reliable localization and mapping in real-world environments. This work, already garnering 3 citations, demonstrates her continued impact on autonomous navigation. Li’s research is particularly valuable for applications in search-and-rescue, industrial automation, and autonomous exploration, where robust perception and multi-agent coordination are essential. Her ability to bridge hardware-level communication protocols with high-level sensor fusion makes her a versatile contributor to modern robotics.