Litian Liu

Papers

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About

Litian Liu is a researcher focused on advancing autonomous navigation and control systems for mobile robots, with particular expertise in path planning and tracking control. Their most notable contribution is the development of a hybrid path planning algorithm that improves upon the traditional Dynamic Window Approach by enabling robots to navigate dynamic, real-world environments rather than being limited to static obstacle scenarios. This work, published in 2021, has garnered 6 citations and addresses a critical gap in autonomous robot navigation. Additionally, Liu has explored tracking control for wheeled mobile robots using RBF network supervisory control, a 2020 study with 2 citations that tackles the challenges of dynamic modeling under nonholonomic constraints. Their research has significant implications for applications in industry, agriculture, and defense, where reliable robot navigation and control are essential. By bridging theoretical modeling with practical implementation, Liu’s work contributes to making autonomous mobile robots more adaptable and efficient in complex, changing environments.