Zhong-Yi Lu
Papers
1
Total Citations
13
H-Index
1
About
Zhong-Yi Lu is a robotics researcher specializing in locomotion control for legged systems, with a particular focus on quadruped robots. His key research areas include gait stability, model predictive control (MPC), and zero moment point (ZMP)-based methods for dynamic walking. Lu’s most-cited work, "Trot Gait Stability Control of Small Quadruped Robot Based on MPC and ZMP Methods" (2023), addresses a critical challenge in robotics: maintaining stable locomotion across uneven terrain. By integrating MPC with ZMP theory, he developed a control framework that compensates for horizontal obstacles and vertical roughness, enabling small quadruped robots to achieve more reliable trot gaits. This contribution has garnered 13 citations, reflecting its relevance to researchers working on real-world robotic mobility. Lu’s approach bridges theoretical control strategies with practical implementation, offering a pathway toward more robust and adaptive legged robots. His work is particularly valuable for students and engineers seeking to understand how predictive algorithms can enhance stability in challenging environments, making him a notable figure in the field of robot locomotion control.
Research Focus
Key Achievements
Top Papers
- 1