Hyoungkwan Kim

Yonsei University, Autodesk (United States)

Papers

5

Total Citations

211

H-Index

4

About

Hyoungkwan Kim is a pioneering researcher at the intersection of construction engineering and robotics, with a primary focus on automating safety monitoring and data acquisition on construction sites. His most influential work centers on the innovative use of quadrupedal "robot dogs" for 3D reconstruction and scaffold inspection, a field where his contributions have garnered significant attention. His landmark 2021 paper on deep learning-based 3D reconstruction using a robot dog has accumulated 91 citations, establishing a new paradigm for non-destructive, automated site assessment. Kim’s research extends to trend analysis of construction automation, with a 2010 study earning 68 citations for its comprehensive overview of R&D trajectories. He has also been instrumental in advancing semantic segmentation of 3D point cloud data, enabling robots to intelligently interpret complex structural environments. As a key contributor to the International Symposium on Automation and Robotics in Construction (ISARC), including its 39th proceedings, Kim has helped shape the discourse on digital transformation in construction. His work directly addresses critical safety challenges, offering scalable, data-driven solutions that reduce human exposure to hazardous scaffolding environments.

Research Focus

Key Achievements

4
H-Index
5
Papers
211
Total Citations
42
Avg Citations/Paper
🏆 Most Cited Paper
Deep learning-based 3D reconstruction of scaffolds using a robot dog
91 citations · 2021
📈 Most Prolific Year: 2021 (2 Papers)
🤝 Key Collaborators: 105
🏛 Institutions: Yonsei University, Autodesk (United States)

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago