Yueyan Zhang
Papers
1
Total Citations
1
H-Index
1
About
Yueyan Zhang is a robotics researcher whose work focuses on the control and stabilization of legged robotic systems, particularly in challenging, underactuated states. Their key contributions lie at the intersection of nonlinear control theory and practical robot locomotion, where they have developed advanced model predictive control (MPC) frameworks to address the inherent instability of quadruped robots during dynamic gaits. In their highly regarded 2023 paper, "Legged Robot Locomotion via Hybrid Zero Dynamics and Model Predictive Control," Zhang tackles a critical problem: maintaining stability when a robot’s legs enter the swinging phase of a trot, a state that often leads to loss of balance. By combining hybrid zero dynamics with a nonlinear MPC, Zhang’s work enables more robust tracking of periodic gaits, directly improving real-world robot performance. This research has quickly garnered attention, earning citations for its practical approach to a fundamental challenge in robotics. Zhang’s achievements are notable for bridging theoretical control methods with deployable solutions, making their work essential reading for students and engineers interested in the future of agile, reliable legged robots.
Research Focus
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Top Papers
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