Papers
15
Total Citations
110
H-Index
5
About
Young-Suk Kim is a leading researcher in construction robotics and automation, with a focus on intelligent excavation systems, machine vision, and autonomous path planning. His work has been instrumental in developing fully automated excavators capable of 3D local terrain modeling, object detection, and real-time task planning, as demonstrated by his contributions to the Intelligent Excavation System (IES) project in Korea. Kim’s most-cited paper, “Development of a 3D Local Terrain Modeling System of Intelligent Excavation Robot” (2016, 20 citations), showcases his expertise in integrating laser scanners and sensors for autonomous earthwork operations. He also advanced teleoperated maintenance systems, such as the machine-vision-assisted pavement crack sealer, with path planning algorithms that improved efficiency and safety. His research on RRT-based local path planning (2007, 18 citations) and wind resistance analysis for exterior wall painting robots (2014) further highlights his versatility in applying robotics to construction and maintenance. With over 100 citations across his top papers, Kim’s work has significantly impacted the automation of heavy machinery, enhancing both productivity and safety in challenging environments.
Research Focus
Key Achievements
Top Papers
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- 43D surround local sensing system H/W for intelligent excavation robot (IES)14 citations · 2019
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