Kun-Nan Chen
Papers
1
Total Citations
5
H-Index
1
About
Kun-Nan Chen is a robotics researcher whose work centers on humanoid robot locomotion and stability control. His most significant contribution lies in advancing walking pattern generation through the use of Zero Moment Point (ZMP) preview control, a formulation that enables the creation of nonlinear trajectories for more adaptive and stable gait. This approach addresses a critical challenge in robotics: maintaining balance across varied ground conditions. By first designing a desired ZMP trajectory and then deriving a corresponding Center of Mass (CoM) trajectory, Chen’s methodology provides a robust framework for real-time walking control. His work has garnered attention in the field, with his key paper on this topic accumulating 5 citations, reflecting its relevance to researchers tackling bipedal locomotion. Chen’s research bridges theoretical control systems and practical robotic applications, offering solutions that enhance the agility and stability of humanoid robots. For students and researchers exploring dynamic walking algorithms, his contributions represent a foundational step toward more versatile and human-like robotic movement.
Research Focus
Key Achievements
Top Papers
- 1