Papers

18

Total Citations

184

H-Index

8

About

Sangseung Kang is a versatile robotics and human-computer interaction researcher whose work spans elder care robotics, industrial automation, and computer vision. With a career spanning over 15 years, Kang has made meaningful contributions at the intersection of service robotics and manufacturing technology, accumulating over 150 citations across his published work. Kang's most influential contributions lie in socially assistive robotics for aging populations. His 2015 study on the Silver-Care-Robot Program (29 citations) demonstrated measurable improvements in cognitive function, depression, and daily living activities among institutionalized elderly patients — offering compelling clinical evidence for robot-assisted care. This built upon his earlier 2012 elder care robot framework (20 citations), which pioneered human-robot interaction monitoring systems in nursing home settings. Equally significant is his expertise in machine vision and industrial robotics. His research on object recognition for cell manufacturing (20 citations), vision-based bin picking (16 citations), and deep learning-based object segmentation (18 citations) has advanced practical automation solutions relevant to Industry 4.0 applications. His early work developing emotionally responsive robots, including the KOBIE pet-type platform, further demonstrates his broad interest in making robots genuinely responsive to human needs — a thread that runs consistently throughout his career.

Research Focus

Key Achievements

8
H-Index
18
Papers
184
Total Citations
10
Avg Citations/Paper
🏆 Most Cited Paper
Effects of Silver-Care-Robot Program on Cognitive Function, Depression, and Activities of Daily Living for Institutionalized Elderly People
29 citations · 2015
📈 Most Prolific Year: 2012 (3 Papers)
🤝 Key Collaborators: 24
🏛 Institutions: Electronics and Telecommunications Research Institute

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago