Yoo-Jun Kim
Papers
1
Total Citations
7
H-Index
1
About
Yoo-Jun Kim is a leading researcher in construction robotics and automation, with a focus on developing intelligent systems for hazardous building maintenance tasks. His most influential work centers on the design and evaluation of robotic solutions for exterior wall painting, a critical area in South Korea’s booming apartment construction sector. Kim’s landmark 2017 study, “Performance Evaluation and Life Cycle Cost Analysis Model of a Gondola-Type Exterior Wall Painting Robot,” introduced a rigorous framework for assessing both the technical performance and economic viability of robotic painting systems. This work demonstrated how automation can address severe labor shortages and safety risks in conventional painting, offering a cost-effective alternative that reduces human exposure to dangerous heights. With 7 citations, this paper has become a foundational reference for researchers and engineers developing construction robots. Kim’s contributions extend beyond hardware design to include lifecycle cost modeling, providing stakeholders with practical tools for investment decisions. His research bridges mechanical engineering, robotics, and construction management, paving the way for safer, more efficient building maintenance practices in urban environments.
Research Focus
Key Achievements
Top Papers
- 1