Hyun-Seok Yoo
Papers
6
Total Citations
51
H-Index
4
About
Hyun-Seok Yoo is a leading researcher in construction robotics, specializing in intelligent excavation systems and automated maintenance robots. His most significant contributions center on developing 3D local terrain modeling and surround sensing systems for intelligent excavation robots (IES), which enable fully automated excavators to perceive their environment and execute tasks like digging and loading without human intervention. His work on the "Development of a 3D local terrain modeling system of intelligent excavation robot" (2016) has garnered 20 citations, while his "3D surround local sensing system H/W for intelligent excavation robot" (2019) has 14 citations, reflecting his impact on autonomous construction machinery. Yoo has also advanced automated maintenance technologies, including an optimal trajectory planning algorithm for pavement crack sealers (2012, 5 citations) and wind resistance analysis for exterior wall painting robots (2014, 6 citations). Notably, his research integrates laser scanning, object detection, and automatic registration to enhance safety and quality in earthwork automation. Through these innovations, Yoo has positioned himself as a key figure in Korea’s push toward fully autonomous construction equipment, addressing critical challenges in environment recognition and task planning for heavy machinery.
Research Focus
Key Achievements
Top Papers
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- 23D surround local sensing system H/W for intelligent excavation robot (IES)14 citations · 2019
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