Xiaolin Yao

Dalian Neusoft University of Information

Papers

Total Citations

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About

Xiaolin Yao is a researcher in computational geometry and robotics, with a primary focus on algorithmic path planning and exploration problems. Her most cited work, "The simple grid polygon exploration problem" (2021), addresses fundamental challenges in autonomous navigation within discrete environments, offering efficient strategies for covering unknown grid-based spaces. This contribution has garnered 5 citations, reflecting its relevance to both theoretical computer science and practical applications in robotics and geographic information systems. Yao’s research bridges the gap between abstract geometric models and real-world exploration tasks, emphasizing optimality and completeness in algorithmic design. Her work is particularly notable for its clarity in tackling the complexities of polygon exploration—a classic problem in computational geometry—by simplifying assumptions without sacrificing rigor. While her citation count is modest, the impact of her study lies in its foundational value for future work on multi-agent coordination and sensor-based mapping. Yao’s dedication to advancing autonomous systems through geometric reasoning positions her as an emerging voice in her field, with potential for broader influence as her research continues to evolve.