Papers
1
Total Citations
39
H-Index
1
About
Jiabo Huang is a researcher specializing in autonomous navigation and path planning for mobile robotics, with a particular focus on developing efficient, adaptive algorithms for real-world environments. His most-cited work, "A self-adaptive neighborhood search A-star algorithm for mobile robots global path planning" (2024, 39 citations), introduces a novel enhancement to the classic A-star algorithm by incorporating a self-adaptive neighborhood search mechanism. This innovation significantly improves computational efficiency and path smoothness, addressing key limitations in traditional global path planning for mobile robots operating in complex, dynamic settings. Huang's contributions are particularly impactful in the fields of robotics and artificial intelligence, where his algorithm offers a practical balance between optimality and real-time performance. With 39 citations in a short time, this work has quickly gained recognition for its potential in autonomous systems, from warehouse logistics to search-and-rescue operations. Huang’s research continues to push the boundaries of intelligent navigation, making him a notable figure in the advancement of mobile robotics.
Research Focus
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Top Papers
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