Sangryong Kim

Papers

Total Citations

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About

Sangryong Kim’s research has been foundational in advancing human-robot interaction (HRI) and autonomous navigation for home service robots. His work centers on enabling robots to perceive and respond to human presence naturally, with key contributions in audio-visual localization, robust mobile robot positioning, and people detection. In his most cited paper, “Real-time audio-visual localization of user using microphone array and vision camera” (2005, 6 citations), Kim pioneered a multimodal approach that allows a robot to locate a user by fusing sound source localization with visual tracking—a critical step toward intuitive HRI. He further addressed the challenge of reliable navigation in “Mobile Robot Localization Using a Gyroscope and Constrained Kalman Filter” (2006, 3 citations), where he developed a method to correct odometry errors caused by wheel slippage, significantly improving cleaning robot autonomy. Additionally, his work on “Detecting and tracking people by mobile robot using structured light range sensor” (2005, 2 citations) introduced a prototype for the Samsung Home Robot (SHR), demonstrating practical people tracking in domestic settings. Though modest in citation count, Kim’s research directly influenced the development of commercial home robots, bridging the gap between academic innovation and real-world deployment. His contributions remain relevant for researchers building intuitive, reliable service robots.