Papers
1
Total Citations
130
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About
Dr. Dan Xiang is a leading researcher in autonomous mobile robotics and artificial intelligence, with a primary focus on path planning and multi-objective optimization. Their most impactful contribution is the development of a novel hybrid algorithm that combines an improved A* search with a greedy algorithm, published in 2022 and cited over 130 times. This work addresses a critical challenge in robotics: efficiently navigating complex environments while balancing multiple objectives, such as path length, safety, and computational speed. By enhancing the traditional A* evaluation function and integrating greedy decision-making, Dr. Xiang’s approach significantly improves the performance of autonomous mobile robots in real-world applications, from warehouse logistics to search-and-rescue operations. The paper’s high citation count reflects its influence on both academic research and practical engineering. Dr. Xiang’s work stands at the intersection of theoretical algorithm design and applied robotics, making them a key figure in advancing intelligent navigation systems. Their research continues to inspire new methods for efficient, adaptive robot path planning.
Research Focus
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Top Papers
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