Papers
3
Total Citations
18
H-Index
2
About
Jaewoong Kim is a researcher whose work bridges robotics, human-robot interaction, and assistive technology, with a particular focus on designing systems that serve vulnerable populations. His most impactful contribution, "Investigating the preferences of older adults concerning the design elements of a companion robot" (2019, 10 citations), provides critical quantitative insights into how robot aesthetics and functionality can alleviate depression in aging users—a study that surveyed 191 older adults to fill a gap in empirical design guidelines. Earlier work, such as "Structured light camera base 3D visual perception and tracking application system with robot grasping task" (2013, 6 citations), demonstrates his technical expertise in 3D vision and robotic manipulation, proposing methods for object detection and pose estimation in pick-and-place operations. Kim’s research also explores proactive human search in unknown environments (2011, 2 citations), integrating prior context information to enhance robot autonomy. By combining user-centered design with advanced perception systems, Kim’s work has practical implications for healthcare robotics and human-robot collaboration. His contributions underscore a commitment to making robots more intuitive and beneficial, particularly for older adults, while advancing foundational techniques in computer vision and autonomous navigation.
Research Focus
Key Achievements
Top Papers
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