Yingying Chen

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About

Yingying Chen is a leading researcher in indoor localization and human tracking, with a focus on integrating robotics and mobile sensing technologies. Her work addresses the critical challenge of accurate indoor positioning without expensive infrastructure, leveraging the ubiquity of smartphones. Chen’s major contributions include pioneering robot-assisted localization systems that combine low-cost sensors, such as the Microsoft Kinect, with smartphone-based sensing to achieve reliable human indoor tracking. Her 2018 paper on robot-assisted smartphone localization for indoor tracking has garnered 12 citations, while her foundational 2014 work on using Kinect and smartphones for the same purpose has received 9 citations. These studies demonstrate how mobile robots can serve as dynamic anchors to overcome the limitations of traditional wireless sensor networks, which require costly deployment. By proposing a system that capitalizes on the high density of smartphones in public spaces, Chen has advanced practical, scalable solutions for indoor navigation and smart environments. Her research is highly relevant for applications in healthcare, emergency response, and autonomous systems, making her a notable contributor to the field of pervasive computing and human–robot interaction.