Papers
131
Total Citations
2,543
H-Index
29
About
Hyun Myung is a prominent robotics researcher whose work spans autonomous navigation, simultaneous localization and mapping (SLAM), and intelligent robotic systems for real-world applications. Based at KAIST, Myung has made significant contributions to advancing robot perception and autonomy across diverse and challenging environments — from underwater systems to aerial platforms and legged robots. His early work on vision-based object detection for underwater robots (223 citations) and artificial landmark-based localization for autonomous underwater vehicles established him as a leading voice in marine robotics. He has since broadened his impact through pioneering SLAM research, notably DynaVINS (123 citations), which addresses the critical challenge of dynamic environments that confound traditional mapping assumptions. His benchmark evaluation of visual-inertial odometry on NVIDIA Jetson platforms has become a practical reference for embedded robotics developers. Myung's more recent work demonstrates impressive range — from DreamWaQ's deep reinforcement learning approach to robust quadrupedal locomotion (122 citations) to environmental applications like algal bloom removal using unmanned vehicles. His infrastructure inspection survey and the ViViD++ dataset further reflect his commitment to bridging foundational robotics research with urgent societal needs, cementing his reputation as a versatile and impactful contributor to modern autonomous systems.
Research Focus
Key Achievements
Top Papers
- 1
- 2<i>DynaVINS:</i> A Visual-Inertial SLAM for Dynamic Environments123 citations · 2022
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- 6ViViD++ : Vision for Visibility Dataset77 citations · 2022
- 7Paired Structured Light for Structural Health Monitoring Robot System65 citations · 2010
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- 9Survey of robotics technologies for civil infrastructure inspection53 citations · 2022
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