Xueying Chen
Papers
1
Total Citations
9
H-Index
1
About
Xueying Chen is a robotics researcher specializing in bipedal locomotion and model predictive control, with a focus on achieving dynamic balance in humanoid robots. Her 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. By introducing a three-particle model that decouples the center of mass from the swinging leg, Chen’s approach overcomes the kinematic coupling and reduced support polygon that make one-foot balancing far more difficult than two-foot stance. This contribution is foundational for advancing agile, human-like motion in bipedal systems—enabling robots to perform tasks like stepping, turning, or navigating uneven terrain. Chen’s research bridges control theory and practical robotics, offering a scalable framework for real-time balance control. With growing interest in humanoid robots for disaster response and assistive technologies, Chen’s work is poised to influence both academic research and industrial applications. Her innovative use of predictive control models marks her as a rising contributor to the field of dynamic locomotion.
Research Focus
Key Achievements
Top Papers
- 1