Yongseong Cho

Papers

Total Citations

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About

Yongseong Cho is a researcher advancing the integration of service robotics with the Internet of Things (IoT) and big data analytics. His work centers on developing middleware architectures and context-aware systems that enable robots to perceive and respond intelligently to their environments. Cho’s most cited paper, “A Layered Middleware Architecture for Automated Robot Services” (2014, 10 citations), proposes a framework that allows end users to easily control and define new robot services, moving robotics beyond factory floors into everyday life. He further explores how IoT-based sensors can feed real-time data to robots for situation recognition, as seen in his 2017 work on a robot software platform for context-awareness (4 citations). More recently, his 2020 paper addresses data processing methods for big-data-driven machine learning models in service robots (2 citations). Cho’s contributions are pivotal in making robotic systems more autonomous, user-friendly, and adaptive, bridging the gap between sensor data and actionable intelligence. His research holds significant implications for smart homes, healthcare, and public service robotics, where seamless human-robot interaction is essential.