Papers
16
Total Citations
125
H-Index
6
About
Jinwhan Kim is a leading researcher in autonomous underwater robotics, whose work bridges multi-robot coordination, visual mapping, and robust navigation in GNSS-denied environments. His most cited paper, "Efficient image mosaicing for multi-robot visual underwater mapping" (2014, 34 citations), introduced scalable techniques for creating seamless visual maps from multiple underwater vehicles, a foundational contribution to cooperative ocean exploration. He further advanced multi-robot systems with his work on robust loop closure for map fusion (2020, 27 citations), enabling global map generation even when relative robot poses are unknown. Kim’s research on task-space control for underwater vehicle-manipulator systems (2014, 15 citations) has been critical for precise position keeping in currents, directly supporting interactive intervention tasks. His recent work on acoustic image alignment for autonomous intervention (2022) and topographic SLAM using terrain altimeters (2022) addresses the challenge of localization in low-visibility environments. With over 100 citations across his top papers, Kim’s contributions are shaping the future of autonomous underwater systems, from cooperative search missions to robust navigation in extreme conditions.
Research Focus
Key Achievements
Top Papers
- 1Efficient image mosaicing for multi-robot visual underwater mapping34 citations · 2014
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- 5Fast Underwater Image Mosaicing through Submapping7 citations · 2016
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- 8Robot Intelligence Technology and Applications 64 citations · 2022
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