Papers

12

Total Citations

73

H-Index

4

About

Chul-Goo Kang is a pioneering roboticist whose work sits at the intersection of healthcare robotics, control theory, and mechanical design. His research primarily focuses on developing robotic systems for senior welfare and improving the precision and safety of robot manipulators. Kang’s most notable contribution is the conceptual design of a percussive massage robot for tapping human backs (25 citations), a project from his Intelligent Control and Robotics Laboratory that addresses the growing need for assistive technologies in aging societies. He also introduced the novel concept of a robotic arm wrestling system (13 citations), further demonstrating his commitment to engaging, human-centered robotics. Beyond healthcare applications, Kang has made significant theoretical contributions to vibration control in flexible robots, most recently introducing the “impulse vector” as a mathematical tool for analyzing and eliminating residual vibrations (2023). His work spans practical implementations, including wireless-communicated computed-torque control for SCARA robots and Linux/RTAI-based input shaping for industrial automation. With a career that bridges conceptual design, robust control laws, and sensor development—including a six-axis force-torque sensor with a cross-shaped elastic structure—Kang’s research continues to influence both assistive robotics and precision motion control.

Research Focus

Key Achievements

4
H-Index
12
Papers
73
Total Citations
6
Avg Citations/Paper
🏆 Most Cited Paper
Design of a Percussive Massage Robot Tapping Human Backs
25 citations · 2007
📈 Most Prolific Year: 2007 (2 Papers)
🤝 Key Collaborators: 17
🏛 Institutions: Konkuk University, Laboratoire de commande et de robotique

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago