Papers
10
Total Citations
305
H-Index
7
About
Sungwook Jung is a robotics researcher whose work spans autonomous unmanned systems, state estimation, and environmental robotics — with a particular focus on making intelligent robotic platforms practical for real-world inspection and monitoring tasks. His research has made significant contributions to the deployment of aerial and surface robots in challenging environments, from bridge inspection and wind turbine maintenance to algal bloom removal and jellyfish management. Jung is perhaps best known for his rigorous benchmark evaluations of computational algorithms on edge hardware. His 2021 letter benchmarking visual-inertial odometry algorithms on NVIDIA Jetson platforms for micro aerial vehicles garnered 83 citations, establishing itself as an essential reference for roboticists deploying state estimation on resource-constrained systems. This work was complemented by subsequent benchmarks on 3D object detection frameworks, further cementing his role as a leading voice in embedded robotics evaluation. Beyond benchmarking, Jung has pioneered wall-climbing drone systems and developed the Algal Bloom Removal Robotic System (ARROS), each earning over 50 citations, demonstrating his ability to translate cutting-edge robotics into tangible environmental and infrastructural solutions. His more recent work on RGB-D SLAM in dynamic environments reflects a continued drive toward robust autonomous navigation. Collectively, his publications have accumulated hundreds of citations, underscoring his broad and lasting influence on the field.
Research Focus
Key Achievements
Top Papers
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- 3Toward Autonomous Bridge Inspection: A framework and experimental results53 citations · 2019
- 4Development of a drone-type wall-sticking and climbing robot38 citations · 2015
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- 6Run Your 3D Object Detector on NVIDIA Jetson Platforms:A Benchmark Analysis24 citations · 2023
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