Hyungjoo Kang
Papers
12
Total Citations
65
H-Index
5
About
Hyungjoo Kang is a leading researcher in underwater robotics, specializing in autonomous navigation, localization, and construction tasks for subsea environments. His major contributions center on developing real-time path planning for underwater robots in unknown settings and advancing the URI-T, a heavy-duty remotely operated vehicle (ROV) designed for cable and pipeline burying. Kang’s work has achieved significant impact, with his most-cited paper, “Real Time Path Planning of Underwater Robots in Unknown Environment,” garnering 14 citations, while his evaluation of URI-T through sea trials has earned 10 citations. He has also pioneered accessible marine robotics, creating an autonomous marine robot kit for competitions and education, and developed a diver safety support system (NADIA) to enhance underwater intervention tasks. Notably, Kang’s research on heading control and tele-manipulation assistance has been verified through sea trials, demonstrating practical applications in real construction. His innovations in localization algorithms using ultrasonic sensors and EKF-based indoor GPS further underscore his expertise. Through these achievements, Kang has strengthened the foundation of marine robotics, fostering both industrial applications and workforce development.
Research Focus
Key Achievements
Top Papers
- 1Real Time Path Planning of Underwater Robots in Unknown Environment14 citations · 2017
- 2Evaluation of Underwater Cable Burying ROV through Sea Trial at East Sea10 citations · 2020
- 3Development of Underwater-type Autonomous Marine Robot-kit10 citations · 2012
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- 7Robot-Based Diver Safety Support Scenario and Concept Design for NADIA3 citations · 2025
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