Papers
14
Total Citations
111
H-Index
7
About
Zhongqu Xie is a pioneering researcher in bipedal robotics and legged locomotion, whose work has fundamentally advanced how robots walk, balance, and interact with their environment. His primary research areas include biped robot trajectory planning, balance recovery, and energy-efficient gait generation, with a particular focus on bridging the gap between simplified theoretical models and real-world robotic performance. Xie’s most impactful contribution is his innovative extension of the Linear Inverted Pendulum Model (LIPM) to incorporate the double support phase (DSP), addressing a critical limitation in traditional biped walking models—his seminal 2021 paper on this topic has garnered 27 citations. He further expanded this work into three-dimensional aperiodic walking (15 citations) and variable center-of-mass height locomotion using nonlinear model predictive control (12 citations). Demonstrating remarkable breadth, Xie has also explored symbiotic energy paradigms for self-sustaining aerial robots (2025, 10 citations) and developed LLIO, a robust LiDAR-kinematic-inertial odometry framework for legged robot state estimation. His investigations into torso pitch motion’s effects on walking efficiency (10 citations) and foot-ground interaction modeling (8 citations) reveal a deep commitment to optimizing both stability and energy economy in legged systems.
Research Focus
Key Achievements
Top Papers
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- 4Symbiotic energy paradigm for self-sustaining aerial robots10 citations · 2025
- 5Effects of Torso Pitch Motion on Energy Efficiency of Biped Robot Walking10 citations · 2021
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- 7Impact Dynamics and Parametric Analysis of Planar Biped Robot7 citations · 2018
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