Yuhong Ge
Papers
1
Total Citations
9
H-Index
1
About
Yuhong Ge is a robotics researcher specializing in bipedal locomotion and motion control, with a particular focus on dynamic balancing for humanoid robots. Their most cited work, "Balanced Standing on One Foot of Biped Robot Based on Three-Particle Model Predictive Control" (2022, 9 citations), addresses a critical challenge in legged robotics: maintaining stability on a single foot. Unlike two-foot balancing, one-foot standing requires managing a smaller support polygon and the complex kinematic coupling between the center of mass and the swinging leg. Ge’s contribution lies in developing a three-particle model predictive control framework that enables biped robots to achieve robust single-foot balance, advancing the field’s understanding of dynamic stability under constrained conditions. This work has implications for more agile and resilient humanoid robots capable of navigating uneven terrain or performing tasks requiring single-limb support. With a growing citation record, Ge’s research is gaining recognition among peers working on real-time control strategies for legged systems. Their focus on model-based predictive approaches positions them as a promising contributor to the next generation of bipedal locomotion algorithms.
Research Focus
Key Achievements
Top Papers
- 1