Papers
7
Total Citations
155
H-Index
4
About
Lixia Liu is a robotics and control systems researcher whose work centers on multi-robot coordination, consensus control, and autonomous locomotion. Her primary contributions lie in developing distributed control algorithms for networked robotic systems, with a particular focus on nonholonomic wheeled mobile robots and robotic manipulators operating under realistic, challenging conditions. Liu's most influential work addresses the complex problem of achieving cooperative consensus among multiple robots when faced with switched network topologies, parameter uncertainties, and communication disturbances. Her 2021 paper on networked manipulators with switched parameters (58 citations) and her 2019 study on adaptive consensus tracking for nonholonomic mobile robots (44 citations) demonstrate her ability to bridge theoretical control design with practical robotic constraints. Her 2020 contribution introducing sliding-mode control in polar coordinates (40 citations) further highlights her methodological versatility. Beyond classical control frameworks, Liu has extended her research into stochastic environments, incorporating time-varying delays and measurement noise into consensus-seeking algorithms. More recently, she has explored deep reinforcement learning for quadruped robot locomotion, reflecting a forward-looking engagement with data-driven methods. With over 150 citations across her body of work, Liu has established herself as a meaningful contributor to distributed multi-robot systems research, offering solutions that are both theoretically rigorous and practically applicable.
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