XingSong WANG
Papers
2
Total Citations
4
H-Index
2
About
XingSong Wang is a pioneering researcher in construction robotics, specializing in automation for infrastructure maintenance and prefabricated building production. His key research areas include rebar binding robots, cable-climbing robots, and adaptive control systems for harsh construction environments. Wang’s major contributions lie in developing intelligent manipulation strategies for rebar binding robots, where he proposed a novel binding point recognition and localization method coupled with manipulator path planning to address the labor-intensive, low-efficiency nature of reinforced concrete prefabrication. Additionally, he advanced the dynamic modeling of cable-climbing robots by integrating magnetorheological dampers, enabling continuous force adjustment to stabilize robots under varying wind loads. His work on the robot-cable-wind coupling system demonstrated damping force ranges of 0–153.45 N and recommended optimal working currents for different wind levels (0.1 A for Level 3, 0.3 A for Level 6), validated through both finite element analysis and experimental testing. Though his most-cited papers currently hold 2 citations each, Wang’s research addresses critical engineering challenges in construction automation, with potential to significantly improve safety, efficiency, and quality in building and infrastructure projects.
Research Focus
Key Achievements
Top Papers
- 1
- 2