Yuanyuan Si
Papers
1
Total Citations
9
H-Index
1
About
Yuanyuan Si is a robotics researcher whose work focuses on the dynamic locomotion of bipedal robots, particularly at the intersection of bio-inspired control and stability theory. Her most-cited paper, "Hybrid CPG–FRI dynamic walking algorithm balancing agility and stability control of biped robot" (2019), introduces a novel framework that integrates Central Pattern Generators (CPG) with the Foot Rotation Indicator (FRI) method. This hybrid approach allows biped robots to achieve agile, human-like walking while maintaining robust balance—a critical challenge in legged robotics. By synergizing neural oscillators for rhythmic motion with real-time stability metrics, Si’s algorithm offers a practical solution for robots navigating uneven terrain or performing dynamic maneuvers. Her work bridges the gap between biological inspiration and engineering control, contributing to the broader goal of creating more adaptive and efficient humanoid robots. With 9 citations, this foundational study has influenced subsequent research in locomotion control, particularly in balancing trade-offs between speed and stability. Si’s contributions are valuable for students and researchers exploring CPG-based controllers, stability criteria, and the practical deployment of bipedal robots in real-world environments.
Research Focus
Key Achievements
Top Papers
- 1