Papers
4
Total Citations
37
H-Index
3
About
Qiuyue Luo is a robotics researcher whose work focuses on the fundamental challenge of bipedal locomotion—enabling humanoid robots to walk and run with stability, efficiency, and robustness. Her research centers on simplified dynamical models, such as the Linear Inverted Pendulum (LIP) and the Variable Length Inverted Pendulum (VLIP), which capture the essential physics of walking while remaining tractable for control design. Luo’s major contributions include analyzing self-synchronization and self-stabilization in walking gaits, revealing how step-to-step transitions critically affect stability—a nuance often overlooked in prior work. Her 2018 paper on an essential model for generating walking motions has garnered 14 citations, while her 2019 study on the VLIP model, which accounts for vertical center-of-mass oscillations, has 11 citations. Most recently, her 2023 paper introduces a robust control framework combining a simplified model-based planner with a Quadratic Programming (QP)-based whole-body controller, enabling highly dynamic locomotion and balance recovery under large external disturbances. This work represents a significant step toward practical, resilient humanoid robots capable of operating in real-world environments.
Research Focus
Key Achievements
Top Papers
- 1An essential model for generating walking motions for humanoid robots14 citations · 2018
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