Papers

2

Total Citations

57

H-Index

2

About

Wonho Song is a researcher at the forefront of applying robotics to civil infrastructure, with a primary focus on autonomous inspection and monitoring technologies. His work addresses the growing demand for robotic systems that can safely and efficiently assess high-rise buildings, bridges, and other critical structures, reducing human risk and operational costs. Song’s major contributions include comprehensive surveys that map the landscape of robotic sensing and navigation for infrastructure health monitoring, synthesizing advances in sensor integration, autonomous navigation, and human-robot interaction. His most cited paper, "Survey of robotics technologies for civil infrastructure inspection" (2022, 53 citations), has become a key reference for researchers and engineers developing next-generation inspection robots. This work highlights how autonomous robots can navigate complex environments and interact with humans to perform detailed structural assessments. Through his research, Song is helping to shape the future of resilient, smart infrastructure, where robotic systems play a central role in ensuring safety and longevity. His ongoing efforts continue to bridge the gap between robotics innovation and real-world civil engineering challenges.

Research Focus

Key Achievements

2
H-Index
2
Papers
57
Total Citations
29
Avg Citations/Paper
🏆 Most Cited Paper
Survey of robotics technologies for civil infrastructure inspection
53 citations · 2022
📈 Most Prolific Year: 2022 (2 Papers)
🤝 Key Collaborators: 7
🏛 Institutions: Korea Advanced Institute of Science and Technology

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago