Papers

5

Total Citations

148

H-Index

3

About

Duckyu Choi is a leading researcher in robotics and autonomous systems, with a primary focus on visual-inertial odometry (VIO), simultaneous localization and mapping (SLAM), and their deployment on embedded platforms for real-world applications. His major contributions include comprehensive benchmark tests of VIO algorithms on NVIDIA Jetson platforms, providing critical performance insights for micro aerial vehicles and enabling efficient, on-board navigation. This work, published in 2021, has garnered over 80 citations, underscoring its impact on the field. Choi also advanced the use of autonomous robots for civil infrastructure inspection, with a widely cited 2022 survey that has shaped research directions in this domain. His innovative CLOi-Mapper system offers a consistent, lightweight, and incremental mapping solution tailored for commercial service robots, addressing the practical challenges of SLAM in diverse environments. Additionally, his early work on a vertical thrusting unmanned surface vehicle for stable bridge inspection demonstrates his commitment to solving real-world structural health monitoring problems. Through these contributions, Choi has established himself as a key figure in bridging theoretical robotics with practical, embedded systems.

Research Focus

Key Achievements

3
H-Index
5
Papers
148
Total Citations
30
Avg Citations/Paper
🏆 Most Cited Paper
Run Your Visual-Inertial Odometry on NVIDIA Jetson: Benchmark Tests on a Micro Aerial Vehicle
83 citations · 2021
📈 Most Prolific Year: 2021 (2 Papers)
🤝 Key Collaborators: 16
🏛 Institutions: Korea Advanced Institute of Science and Technology

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago