Sangwoo Seo
Papers
1
Total Citations
46
H-Index
1
About
Sangwoo Seo is a leading researcher in bipedal robotics and intelligent control systems, with a focus on enabling robots to navigate human environments with stability and adaptability. His most cited work, "Zero-moment point trajectory modelling of a biped walking robot using an adaptive neuro-fuzzy system" (2005, 46 citations), addresses the fundamental challenge of bipedal locomotion—the complex dynamics of walking. Seo pioneered the use of adaptive neuro-fuzzy inference systems to model zero-moment point trajectories, allowing biped robots to maintain balance and avoid obstacles more effectively. This contribution bridges the gap between traditional control theory and machine learning, offering a robust framework for real-time gait adaptation. By integrating fuzzy logic with neural network learning, Seo’s approach enhances the robot’s ability to handle unpredictable terrain, a critical step toward practical humanoid robotics. His work has influenced subsequent research in dynamic walking control and human-robot interaction, demonstrating lasting impact in the field. Seo’s achievements underscore his role in advancing intelligent, human-friendly robotic systems.
Research Focus
Key Achievements
Top Papers
- 1