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About

Sangjin Hong is a researcher whose work bridges robotics and biomedical sensing, with a focus on autonomous navigation and non-contact health monitoring. His early contributions addressed a critical limitation in potential field methods for robot path planning—the symmetrically aligned robot-obstacle-goal (SAROG) configuration that creates local minima traps. By introducing random force algorithms, Hong provided a practical escape mechanism, as detailed in his most-cited works (2010–2011, 26 and 22 citations respectively). He also advanced indoor robot navigation and localization using laser range finders and grid-based path planning (2010, 21 citations). More recently, Hong has pioneered the integration of photoplethysmography imaging (PPGI) sensors onto mobile robots for real-time, remote heart rate monitoring (2022, 16 citations), eliminating the need for wearable devices. This work demonstrates a novel convergence of robotics and healthcare, enabling active, autonomous physiological sensing. With over 85 cumulative citations across his key papers, Hong’s research is recognized for solving fundamental robotics challenges while expanding into impactful biomedical applications.