Papers

6

Total Citations

40

H-Index

4

About

Dong-Jun Yeom is a leading researcher in construction robotics, specializing in the development of automated systems for hazardous construction tasks. His work focuses on intelligent excavation robots, facade maintenance robots, and pile head cutting robots, all designed to enhance safety and productivity on construction sites. Yeom's most impactful contribution is the 3D surround local sensing system for the intelligent excavation robot (IES), which enables fully automated earthwork with global 3D modeling and autonomous driving capabilities—a paper that has garnered 14 citations. He has also pioneered life cycle cost analysis models for construction robots, demonstrating the economic viability of automation in dangerous tasks like steel pipe pile head cutting (10 citations) and exterior wall painting (7 citations). His research on facade cleaning robots for high-rise buildings (4 citations) and PHC pile head cutting robots (3 and 2 citations) addresses critical safety issues in South Korea's construction industry. Yeom's work is notable for bridging the gap between robotic innovation and practical, cost-effective deployment, making construction sites safer while improving labor productivity and quality uniformity.

Research Focus

Key Achievements

4
H-Index
6
Papers
40
Total Citations
7
Avg Citations/Paper
🏆 Most Cited Paper
3D surround local sensing system H/W for intelligent excavation robot (IES)
14 citations · 2019
📈 Most Prolific Year: 2019 (2 Papers)
🤝 Key Collaborators: 14
🏛 Institutions: Inha University, Korea Institute of Civil Engineering and Building Technology

Top Papers

  1. 1
  2. 2
  3. 3
  4. 4
  5. 5
  6. 6

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago