Papers

17

Total Citations

123

H-Index

7

About

Dong Yeop Kim is a robotics researcher whose work spans inspection, rehabilitation, and autonomous navigation, with a particular focus on developing intelligent systems for challenging environments. His major contributions include pioneering visual testing systems for wind turbine blade damage detection—a foundational non-destructive testing approach that has garnered 19 citations—and designing an inchworm-type robot for offshore blade inspection, which achieved 14 citations. Kim has also advanced SLAM (Simultaneous Localization and Mapping) techniques, notably through CV-SLAM using ceiling boundaries for indoor navigation (11 citations) and artificial landmark-based SLAM for water pipe rehabilitation robots (8 citations). His work on wheel slip estimation and wheel-ground contact angle control for autonomous mobile robots (29 citations) demonstrates his expertise in climbing and rough-terrain navigation. Additionally, Kim has contributed to exoskeleton robotics through modular joint unit design and crosstalk-error-compensating torque sensors, both cited 7 times. His recent research on mode prediction and adaptation for six-wheeled robots capable of curb-crossing in urban environments (4 citations, 2024) highlights his ongoing impact on outdoor mobility. With over 100 total citations, Kim’s work is essential reading for students and researchers in field robotics, non-destructive testing, and autonomous navigation.

Research Focus

Key Achievements

7
H-Index
17
Papers
123
Total Citations
7
Avg Citations/Paper
🏆 Most Cited Paper
Climbing control of autonomous mobile robot with estimation of wheel slip and wheel-ground contact angle
29 citations · 2022
📈 Most Prolific Year: 2012 (5 Papers)
🤝 Key Collaborators: 36
🏛 Institutions: Korea Electronics Technology Institute, Yonsei University, Robotics Research (United States)

Top Papers

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    CV-SLAM using ceiling boundary
    11 citations · 2010
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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago