Yali Zhou

Beijing Information Science & Technology University

Papers

Total Citations

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About

Yali Zhou is a robotics researcher specializing in bipedal locomotion, dynamic modeling, and walking stability analysis. Her work centers on developing and refining control frameworks that enable biped robots to walk more naturally, efficiently, and robustly across varying conditions. Zhou's most influential contribution is her 2022 study on gait transition and orbital stability in biped robots, which introduced the V-DSLIP model incorporating torso and swing leg dynamics — a significant advancement in capturing the complexity of human-like locomotion. This work has garnered 19 citations, reflecting its impact on the field. Her earlier 2017 research on semi-passive biped robot walking control demonstrated her command of analytical methods, applying the Euler-Lagrange formulation and repetitive control algorithms to govern level-ground walking behavior, grounding her later work in rigorous mechanical principles. Her 2021 investigation into flexible biped robot stability during periodic walking further showcases her versatility, leveraging the Spring-Loaded Inverted Pendulum (SLIP) model alongside feedback linearization to characterize walking dynamics. Collectively, Zhou's research makes meaningful contributions to the intersection of biomechanically inspired modeling and practical robot control, offering valuable tools for researchers working to bridge the gap between theoretical locomotion models and real-world robotic implementation.