Ke Yu

Papers

Total Citations

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About

Ke Yu is a researcher specializing in mobile robotics, with a focus on sensor fusion for autonomous navigation and localization. Her work integrates wireless sensor networks and vision systems to enhance robot perception in complex environments. In her 2010 study, cited 9 times, she developed a hybrid positioning method combining ZigBee wireless sensor networks for coarse global localization with a vision sensor for precise landmark feature extraction, enabling robust mobile robot localization. Her 2009 paper, with 6 citations, further advances self-localization and obstacle avoidance techniques, demonstrating her commitment to practical, real-world robotic autonomy. Yu’s contributions lie in bridging low-cost wireless infrastructure with computer vision, offering scalable solutions for indoor robot navigation. Her research has implications for warehouse automation, search-and-rescue operations, and smart environments. By addressing the challenges of accurate positioning and obstacle detection, Ke Yu has laid groundwork for more intelligent and adaptive mobile systems, making her work a valuable reference for students and researchers exploring sensor integration and autonomous robotics.