Ki-Won Sung
Papers
3
Total Citations
14
H-Index
3
About
Ki-Won Sung is a robotics researcher whose work centers on the intersection of autonomous navigation, human-robot interaction, and bipedal locomotion. His most cited contributions focus on two core challenges: enabling precise control of mobile robots through voice recognition, and achieving stable walking for bipedal robots on uneven terrain. In his 2013 study on voice-controlled autonomous driving robots (6 citations), Sung demonstrated how robots can robustly interpret voice commands by leveraging consistent motion and posture patterns, effectively filtering out environmental noise. This work laid groundwork for more intuitive human-robot interfaces. Complementing this, his research on stable bipedal walking control (4 citations) introduced a robust control algorithm based on ground reaction force feedback, addressing fundamental structural stability issues that have long plagued real-time bipedal locomotion. While his citation counts reflect a focused, early-career impact, Sung’s contributions are notable for tackling practical, real-world deployment challenges—from voice command reliability to terrain adaptability. His integrated approach to perception and control continues to inform developments in service robotics and assistive autonomous systems.
Research Focus
Key Achievements
Top Papers
- 1
- 2A study on robust control of mobile robot by voice command4 citations · 2013
- 3A study on stable walking control of biped robot on uneven terrain4 citations · 2013