Papers
14
Total Citations
242
H-Index
7
About
Jeong-Ki Yoo is a robotics researcher whose work has made significant contributions to humanoid robot locomotion, navigation, and control systems. His research primarily focuses on walking pattern generation, gaze-controlled navigation, and dynamic stability for humanoid robots — areas where he has helped push the boundaries of what autonomous bipedal machines can achieve in complex, real-world environments. Yoo's most influential contribution, "Modifiable Walking Pattern of a Humanoid Robot by Using Allowable ZMP Variation" (2008, 83 citations), introduced a landmark algorithm enabling real-time adaptation of walking period and step length through intelligent zero moment point management — a foundational advance for responsive humanoid locomotion. His development of the HanSaRam humanoid robot series provided a concrete platform for validating these theoretical contributions across multiple studies. Beyond locomotion, Yoo pioneered gaze control architectures integrated with fuzzy logic and univector field navigation methods, enabling humanoid robots to navigate dynamically cluttered environments with limited sensory input. His evolutionary multiobjective footstep planning work further demonstrated his ability to bridge computational intelligence with physical robotics challenges. With over 230 cumulative citations across his top papers, Yoo's body of work represents a cohesive and impactful research program that has meaningfully advanced the field of autonomous humanoid robotics.
Research Focus
Key Achievements
Top Papers
- 1
- 2Recent progress and development of the humanoid robot HanSaRam30 citations · 2009
- 3
- 4
- 5Evolutionary Multiobjective Footstep Planning for Humanoid Robots23 citations · 2010
- 6
- 7Stabilization control for humanoid robot to walk on inclined plane9 citations · 2008
- 8
- 9
- 10