Xianli Cao
Papers
2
Total Citations
8
H-Index
2
About
Xianli Cao is a researcher specializing in the design and control of in-pipe robotic systems, with a focus on compound-driven locomotion mechanisms. His major contributions lie in advancing the structural design and dynamic modeling of pipeline inspection robots, particularly through the integration of fluid and motor-driven actuation for long-distance operations. In his most-cited work, "Structure Design and Characteristic Analysis of Compound-Driven Unit for Pipeline Robot" (2020, 6 citations), Cao developed a mathematical model for a cam-based active support diameter-reducing mechanism, establishing key parameter relationships essential for adaptive pipeline navigation. His subsequent study, "Speed Control Characteristics and Energy Consumption Modeling for Composite Driving in-Pipe Robot" (2019, 2 citations), introduced a novel composite drive system combining fluid medium and motor power, analyzing discharge flow speed regulation to optimize energy efficiency. Though his citation counts are modest, Cao’s research addresses critical challenges in pipeline inspection robotics, including mobility in constrained environments and energy management for extended missions. His work contributes to the broader field of industrial robotics, offering foundational insights for future autonomous pipeline maintenance systems.
Research Focus
Key Achievements
Top Papers
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- 2