Papers
3
Total Citations
44
H-Index
3
About
Juhwan Kim is a robotics researcher whose work centers on autonomous underwater vehicles (AUVs), biomimetic locomotion, and maritime sensing systems. His most influential contribution is a CNN-based object detection method for forward-looking sonar imagery (34 citations), which enabled small remotely operated vehicles to recognize underwater targets in real time—a critical advance for autonomous navigation in low-visibility environments. Kim also developed an energy-harvesting robotic buoy for the Internet of Maritime Things (IoMT), integrating propulsion and power generation to create self-sustaining data collectors for ocean monitoring. His more recent work on a biomimetic fin-type amphibious robot demonstrates dual-mode locomotion: precise swimming along a path and walking on the seabed for close inspection. By combining oscillating fin dynamics with localization algorithms, Kim addressed the challenge of accurate path following in unstructured underwater terrain. His research bridges computer vision, energy autonomy, and bio-inspired design, offering practical solutions for marine robotics. With applications ranging from environmental monitoring to infrastructure inspection, Kim’s contributions are shaping the next generation of intelligent, self-sufficient underwater vehicles.
Research Focus
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Top Papers
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