Dong‐il Cho

Seoul National University, Systems Research Institute

Papers

36

Total Citations

434

H-Index

11

About

Dong-il Cho is a prominent robotics and autonomous systems researcher whose work centers on vision-based sensing, mobile robot navigation, and intelligent sensor fusion. His most influential contribution — a monocular vision sensor-based SLAM method for indoor service robots (2018, 126 citations) — demonstrated that robust simultaneous localization and mapping could be achieved in real time on low-cost embedded hardware, significantly lowering the barrier for practical deployment of indoor robots. This work, alongside his obstacle detection algorithm (2016, 49 citations), established him as a leading voice in making autonomous robots both affordable and reliable. Cho has also advanced the field through novel sensor development, including his afocal optical flow sensor system, which addresses height-sensitivity limitations in robot odometry, and a localization framework robust to low-luminance and slippery environments. His 2015 review of bioinspired vision sensors further reflects his broad interest in bridging biological principles with engineering design. Earlier contributions span wireless capsule endoscopy, line-of-sight control systems, and IMU-based indoor positioning. With cumulative citations exceeding 300 across his top works, Cho's research consistently bridges theoretical innovation and real-world robotic application, making him a valuable reference for students and researchers pursuing intelligent autonomous systems.

Research Focus

Key Achievements

11
H-Index
36
Papers
434
Total Citations
12
Avg Citations/Paper
🏆 Most Cited Paper
A Monocular Vision Sensor-Based Efficient SLAM Method for Indoor Service Robots
126 citations · 2018
📈 Most Prolific Year: 2015 (6 Papers)
🤝 Key Collaborators: 82
🏛 Institutions: Seoul National University, Systems Research Institute

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
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