Young-woon Song

Pohang University of Science and Technology

Papers

4

Total Citations

33

H-Index

3

About

Dr. Young-woon Song is a pioneering roboticist whose research focuses on the development of specialized robots for challenging inspection and exploration tasks, particularly in underwater and vertical environments. His major contributions lie in the design of biomimetic and multi-modal locomotion systems. Notably, his work on the "Underwater Walking Mechanism of Underwater Amphibious Robot Using Hinged Multi-modal Paddle" (16 citations) introduces a novel paddle design that enables seamless transition between swimming and walking, a critical advancement for amphibious operations. Dr. Song further extends this capability with his "Development of a Biomimetic Underwater Robot for Bottom Inspection of Marine Structures" (11 citations), directly addressing the need for robust underwater infrastructure monitoring. His innovative approach to aerial-ground collaboration is showcased in his highly practical "Development of Safety-Inspection-Purpose Wall-Climbing Robot Utilizing Aerial Drone with Lifting Function" (4 citations), which proposes a unique system for inspecting the containment buildings of nuclear power plants. More recently, he has tackled the complex problem of obstacle traversal on ceilings with his "Development of Dual-Unit Ceiling Adhesion Robot System With Passive Hinge for Obstacle Traversal Under Kinodynamic Constraints" (2 citations), demonstrating a sophisticated understanding of kinodynamic constraints. Through these works, Dr. Song is establishing himself as a key innovator in field robotics, pushing the boundaries of where and how robots can operate to ensure structural safety.

Research Focus

Key Achievements

3
H-Index
4
Papers
33
Total Citations
8
Avg Citations/Paper
🏆 Most Cited Paper
Underwater Walking Mechanism of Underwater Amphibious Robot Using Hinged Multi-modal Paddle
16 citations · 2020
📈 Most Prolific Year: 2023 (2 Papers)
🤝 Key Collaborators: 9
🏛 Institutions: Pohang University of Science and Technology

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago