Liangyao Xu
Papers
2
Total Citations
83
H-Index
2
About
Liangyao Xu is a prominent researcher in robotics and autonomous navigation, specializing in path planning algorithms for manipulators and mobile robots. Their major contributions lie in developing hybrid approaches that integrate classical pathfinding methods with machine learning to overcome limitations in complex, obstacle-dense environments. Notably, Xu’s 2023 work on a six-degree-of-freedom manipulator, combining an improved Rapidly-exploring Random Tree (RRT*) with a Back Propagation (BP) neural network, directly tackles slow motion planning and high computational costs in narrow 3D spaces—a breakthrough that has garnered 61 citations. In 2024, Xu advanced mobile robot navigation with an enhanced A* algorithm fused with the Dynamic Window Approach, achieving higher-quality, collision-free paths across multiple environments, earning 22 citations. These innovations demonstrate Xu’s skill in optimizing real-time decision-making and efficiency, bridging theoretical algorithm design with practical robotic applications. Their work is highly cited for its direct impact on industrial automation and autonomous systems, making Xu a key figure in advancing intelligent path planning for next-generation robotics.
Research Focus
Key Achievements
Top Papers
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- 2