Yoon Kwon Hwang
Papers
1
Total Citations
6
H-Index
1
About
Yoon Kwon Hwang is a leading researcher in humanoid robotics, with a primary focus on cooperative motion control and dynamic simulation for bipedal systems. His most-cited work, "Self-learning control of cooperative motion for a humanoid robot" (2006, 6 citations), introduces a novel approach to enabling humanoid robots to perform heavy tasks through self-learning algorithms. In this study, Hwang developed a sophisticated 27-link rigid body model to simulate system dynamics and employed a simple genetic algorithm (SGA) to optimize joint torques, allowing the robot to autonomously learn cooperative motions without explicit programming. This work stands out for its integration of evolutionary computation with robotic control, offering a scalable solution for complex, real-world manipulation tasks. Hwang's contributions have advanced the field of autonomous robotics, particularly in the areas of adaptive control and human-robot collaboration. His research continues to influence the development of more intelligent and versatile humanoid systems, with implications for industrial automation and assistive technologies. Hwang's achievements underscore his role as a pioneer in self-learning robotic systems, bridging the gap between theoretical control methods and practical robotic applications.
Research Focus
Key Achievements
Top Papers
- 1Self-learning control of cooperative motion for a humanoid robot6 citations · 2006