Papers
1
Total Citations
9
H-Index
1
About
Xuhui Wu is a leading researcher in mobile robotics, specializing in intelligent navigation and real-time path planning for autonomous systems operating in dynamic, unknown environments. Their most significant contribution is the development of a hybrid path planning algorithm that fuses the A* global search method with the Dynamic Window Approach (DWA) for local obstacle avoidance. This work, published in 2023 and already garnering 9 citations, directly addresses the critical challenge of enabling mobile robots to navigate collision-free paths while adapting to unpredictable obstacles. By enhancing the global algorithm’s planning efficiency and integrating it with a reactive local planner, Wu’s approach achieves a robust balance between optimal route calculation and real-time safety. This innovation has immediate implications for warehouse logistics, autonomous exploration, and service robotics. Wu’s research stands out for its practical focus on bridging the gap between theoretical path planning and real-world deployment, making their work a valuable reference for engineers and researchers seeking to advance mobile robot autonomy in cluttered, changing spaces.
Research Focus
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Top Papers
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