Tianxiao Cui

Papers

Total Citations

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About

Tianxiao Cui is a researcher focused on advancing autonomous mobile robotics, particularly in the areas of exploration and mapping within unknown indoor environments. His work addresses a critical challenge in robotics: enabling robots to efficiently and intelligently navigate and construct high-quality maps of spaces they have never encountered before. Cui's most cited paper, "Autonomous exploration of RRT robot based on seeded region growing" (2020), has garnered 5 citations, introducing a novel approach that integrates Rapidly-exploring Random Tree (RRT) algorithms with seeded region growing techniques. This contribution enhances a robot's ability to autonomously decide where to explore next while simultaneously building more accurate and complete environmental maps. By tackling the complexities of real-world settings, Cui's research has implications for applications ranging from search-and-rescue operations to domestic service robots. His work stands out for its practical focus on improving both the efficiency and quality of autonomous exploration, making a meaningful impact on the field of mobile robotics.