Yimei Rao

Papers

Total Citations

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About

Yimei Rao is a researcher specializing in intelligent systems, service robotics, and human-robot interaction, with a particular focus on environment perception and assistive technologies. Her work addresses critical challenges in enabling robots and smart environments to perceive, navigate, and respond to human needs effectively. Rao’s most cited paper, “Dynamic image stitching for moving object” (2016, 8 citations), introduces a low-cost, vision-based method for creating panoramic indoor views, enhancing a robot’s spatial awareness for navigation and control. Similarly, her study “A ceiling feature-based vision control system for a service robot” (2017, 2 citations) leverages affordable visual sensors to guide robots in daily assistance tasks, emphasizing practicality and reliability. Beyond robotics, Rao has made notable contributions to accessible living through “Development of a voice-control smart home environment” (2016, 8 citations), a system designed to empower elderly and disabled individuals by enabling hands-free control of home devices. This work highlights her commitment to inclusive technology. With a cumulative citation count of 18 across her top papers, Rao’s research demonstrates a clear impact in affordable, user-centered automation, bridging the gap between advanced robotics and real-world applications for improved quality of life.