Sunhwi Kang
Papers
1
Total Citations
6
H-Index
1
About
Sunhwi Kang is a robotics researcher whose work centers on adaptive, shape-changing mechanisms for physical human-robot interaction (pHRI). Their most cited paper, "Evaluation of Shape-Changing Tensegrity Structure Robot for Physical Human-Robot Interaction" (2019, 6 citations), introduces a novel tensegrity-structured robot that uses length-variable struts and tendons to dynamically alter its shape in response to environmental constraints. This design allows the robot's struts to move and adapt, enabling safer and more intuitive physical collaboration with humans. Kang’s major contribution lies in demonstrating how tensegrity principles—typically used in lightweight, resilient structures—can be applied to robotics to create systems that are both compliant and controllable. By prioritizing adaptability over rigidity, their work opens new possibilities for robots that can safely interact with people in shared spaces, such as in assistive technology or collaborative manufacturing. While still early in their career, Kang’s research has already been recognized for its innovative approach to pHRI, and their work continues to inspire further exploration into soft, shape-changing robotic systems.
Research Focus
Key Achievements
Top Papers
- 1