Siting Xiong
Papers
1
Total Citations
4
H-Index
1
About
Siting Xiong is a researcher at the forefront of intelligent construction and robotic inspection, with a focus on enhancing the efficiency and accuracy of quality assessment for large-scale infrastructure. Their most-cited work, "Rapid Inspection of Large Concrete Floor Flatness Using Wheeled Robot with Aided-INS" (2022), addresses a critical challenge in civil engineering: the slow, sparse sampling of traditional flatness measurement methods. By integrating a wheeled robot with an aided inertial navigation system (INS), Xiong pioneered a rapid, automated approach that enables continuous, high-density data collection over expansive concrete floors—dramatically improving inspection speed without sacrificing precision. This contribution has garnered early recognition, with the paper accumulating 4 citations, signaling its growing influence in the fields of construction robotics and structural health monitoring. Xiong’s work bridges robotics, sensor fusion, and civil engineering, offering practical solutions for real-world quality control. Their research not only advances automated inspection techniques but also promises to reduce labor costs and human error in large-scale construction projects. As the demand for smart infrastructure grows, Xiong’s innovations position them as a key contributor to the next generation of intelligent, data-driven construction practices.
Research Focus
Key Achievements
Top Papers
- 1