Yong-Sik Shin
Papers
1
Total Citations
5
H-Index
1
About
Yong-Sik Shin is a leading researcher in physical human-robot interaction (pHRI), with a focus on developing intelligent control systems that enable safer and more intuitive collaboration between humans and robots. His work centers on impedance control, online parameter estimation, and adaptive manipulation strategies for tasks involving unknown or dynamically changing objects. In his most-cited paper, "Object-Aware Impedance Control for Human–Robot Collaborative Task With Online Object Parameter Estimation" (2024), Shin introduced a novel control framework that allows robots to autonomously estimate object properties—such as mass, center of mass, and inertia—in real time during collaborative tasks. This breakthrough eliminates the need for prior object knowledge, significantly enhancing robot autonomy and reducing physical strain on human partners. With over 5 citations in a short time, this work is already shaping the future of human-robot teamwork in manufacturing and assistive robotics. Shin’s contributions are pivotal for advancing adaptive, human-aware robotic systems, and his research continues to inspire new approaches to safe, efficient, and responsive human-robot collaboration.
Research Focus
Key Achievements
Top Papers
- 1