Hui-Kyung Oh

Papers

Total Citations

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About

Hui-Kyung Oh’s research centers on intelligent robotics, mobile sensing, and indoor positioning systems, with a focus on bridging the gap between autonomous machines and everyday mobile devices. Her most cited work, “Hybrid control architecture of the robotic surveillance system using smartphones” (2011, 6 citations), introduces a novel framework that allows a smartphone user to remotely control a mobile robot for home monitoring—a practical solution for supervising children, the elderly, or detecting intruders. This paper addresses the cognitive limitations of robots by leveraging the smartphone’s processing power and connectivity, showcasing a human-robot interaction paradigm that is both accessible and cost-effective. In a complementary study, “Particle Filters for Positioning WiFi Device Users” (2012, 2 citations), Oh proposes a graph-based particle filter method to track users in indoor environments, improving localization accuracy by mapping positions to specific points on a graph. While her citation counts are modest, her work demonstrates early, forward-thinking integration of consumer electronics with robotic autonomy, contributing to the foundations of smart home security and ubiquitous computing. Oh’s research is particularly valuable for students exploring low-cost, scalable solutions in robotics and sensor fusion.