Papers
2
Total Citations
12
H-Index
2
About
Yuao Li is a leading researcher in the field of robotic systems for building maintenance, with a primary focus on rope-driven cleaning robots for complex glass curtain walls. His major contributions center on solving two critical challenges in automated facade cleaning: achieving full coverage on geometrically complex surfaces and enabling precise self-calibration of winch systems. In his 2024 work on "Design and Self-Calibration Method of a Rope-Driven Cleaning Robot," Li introduced an innovative calibration approach that addresses the poor obstacle-crossing performance and curved-surface adaptation that have long plagued these robots. His 2023 study on "A Full-Coverage Path-Planning Algorithm" further advanced the field by developing a three-DOF rope-driven robot capable of navigating around obstacles of various shapes while maximizing cleaning coverage. Though his most-cited papers have accumulated 8 and 4 citations respectively—reflecting the emerging nature of this specialized research area—Li's work represents foundational progress in making high-rise building maintenance safer and more efficient. His research directly addresses the practical limitations that have hindered widespread adoption of rope-driven cleaning systems, positioning him as an important contributor to the future of automated building maintenance.
Research Focus
Key Achievements
Top Papers
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