Seokyong Song
Papers
10
Total Citations
67
H-Index
4
About
Seokyong Song is a leading roboticist specializing in biomimetic and amphibious robotics for underwater inspection and maintenance. His research focuses on developing innovative locomotion systems that enable robots to seamlessly transition between swimming and walking on the seabed, addressing critical challenges in marine infrastructure monitoring. Song’s most impactful contribution is the “Underwater Walking Mechanism of Underwater Amphibious Robot Using Hinged Multi-modal Paddle” (2020, 16 citations), which introduced a spring-hinge paddle design allowing one-degree-of-freedom actuators to propel robots across complex seabed terrain. He further advanced the field with the “Parent-child underwater robot-based manipulation system” (2023, 14 citations), proposing a novel hierarchical approach where a larger AUV serves as a base for a tethered child robot, enabling precise manipulation tasks for underwater structure maintenance. His work on biomimetic fin-type robots (2020, 4 citations) and seabed walking mechanisms (2020, 6 citations) has established new paradigms for precise path following and bottom inspection. Song’s designs have been recognized for their practical impact, with applications ranging from underwater marking using paraffin wax (2016, 4 citations) to optical-acoustic backtracking methods (2017, 4 citations). His cumulative work, spanning over 60 citations, positions him as a key innovator in making underwater robots more agile, versatile, and capable of performing complex tasks in challenging marine environments.
Research Focus
Key Achievements
Top Papers
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- 4Development of Seabed Walking Mechanism for Underwater Amphibious Robot6 citations · 2020
- 5Underwater marking AUV using paraffin wax4 citations · 2016
- 6Optical and acoustic image evaluation method for backtracking of AUV4 citations · 2017
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- 8Development of Manipulation Purpose Small Agent Vehicle for UUVs3 citations · 2018
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