Jihye Oh
Papers
1
Total Citations
2
H-Index
1
About
Jihye Oh is a researcher focused on the intersection of the Internet of Things (IoT) and robotics, with a particular emphasis on context-aware computing and service automation. Her work addresses the critical challenge of transforming raw sensor data into meaningful context for intelligent robot services. In her notable 2017 paper, "A rule-based context transforming model for robot services in internet of things environment," Oh proposed a systematic framework that processes the vast amounts of heterogeneous data collected by IoT sensors, converting it into actionable situational information for robots. This model enables robots to better understand and respond to their surroundings, bridging the gap between data collection and autonomous decision-making. Though early in her career, Oh’s contributions have laid foundational groundwork for integrating IoT ecosystems with robotic systems, a field with growing relevance in smart homes, healthcare, and industrial automation. Her work demonstrates a clear vision for how rule-based reasoning can enhance robot autonomy in complex, data-rich environments. As IoT and robotics continue to converge, Oh’s research offers a promising pathway toward more responsive and intelligent service robots.
Research Focus
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Top Papers
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