Daesung Kwon
Papers
1
Total Citations
13
H-Index
1
About
Daesung Kwon is a leading researcher in the field of building maintenance robotics, with a primary focus on automated systems for high-rise façade cleaning and safety. His most-cited work, "Automated technique for high-pressure water-based window cleaning and accompanying parametric study" (2020, 13 citations), addresses a critical need in the construction industry: the hazardous and time-consuming task of cleaning the outer walls of tall buildings. Kwon’s major contribution lies in developing a robotic technique that replaces dangerous manual labor with a controlled, high-pressure water-based system, supported by a parametric study that optimizes cleaning efficiency and safety. This work has direct implications for reducing accidents and improving operational reliability in urban infrastructure maintenance. Beyond this paper, Kwon’s research integrates robotics, fluid dynamics, and structural engineering to create practical solutions for high-rise maintenance challenges. His achievements highlight a commitment to enhancing worker safety and advancing automation in construction, making his work a valuable reference for students and engineers exploring robotics in hazardous environments.
Research Focus
Key Achievements
Top Papers
- 1