Papers

4

Total Citations

41

H-Index

4

About

Seungjong Kim is a robotics researcher whose work bridges assistive technology, human–robot interaction, and rehabilitation engineering. His key research areas include mobile robot navigation, computer vision for object tracking, and robotic systems designed to support aging populations and individuals with neurological disorders. Kim’s most cited work focuses on developing a mobile robot that uses moving color and shape information to track objects and avoid obstacles, specifically designed to assist elderly individuals during walking. This system, which integrates TCP/IP networks, wireless cameras, and multiple sensors, has garnered over 27 combined citations and demonstrates his commitment to creating practical, sensor-rich robotic aids for daily living. In a notable shift toward humanoid robotics, Kim also proposed a 3-degree-of-freedom gravity compensator for the neck of a face robot, a static balancer that enhances naturalistic head movement. More recently, he has investigated the effect of pelvic movement during robotic gait training for stroke patients, contributing to rehabilitation systems that improve walking recovery. Kim’s work consistently emphasizes real-world application, from ubiquitous sensor networks to clinical gait rehabilitation, making him a thoughtful contributor to robotics for healthcare and independent living.

Research Focus

Key Achievements

4
H-Index
4
Papers
41
Total Citations
10
Avg Citations/Paper
🏆 Most Cited Paper
Object Tracking of Mobile Robot using Moving Color and Shape Information for the aged walking
15 citations · 2009
📈 Most Prolific Year: 2009 (1 Papers)
🤝 Key Collaborators: 9
🏛 Institutions: Hankyong National University, Korea Institute of Science and Technology

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago