Papers
1
Total Citations
6
H-Index
1
About
Xiang Zhao is a researcher in robotics and autonomous navigation, with a primary focus on path planning algorithms for mobile robots. His most-cited work, "Research On Path Planning of Mobile Robot Based On Improved RRT* Algorithm" (2022), addresses a fundamental challenge in robotics: generating efficient, collision-free paths in complex environments. Zhao’s contribution lies in enhancing the Rapidly-Exploring Random Tree Star (RRT*) algorithm, a well-known extension of RRT that asymptotically approaches optimal path solutions. By proposing improvements to RRT*, Zhao helps overcome its limitations in convergence speed and path quality, making autonomous navigation more practical for real-world applications. Though his citation count (6) reflects a developing career, this work demonstrates his ability to tackle core problems in robot motion planning—a field critical to service robots, autonomous vehicles, and industrial automation. Zhao’s research sits at the intersection of algorithm design and practical robotics, aiming to bridge the gap between theoretical optimality and real-time performance. As the demand for intelligent mobile systems grows, his contributions to efficient path planning remain relevant for students and engineers seeking to advance autonomous navigation technologies.
Research Focus
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Top Papers
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