Dong‐il Cho
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
Top Papers
- 1A Monocular Vision Sensor-Based Efficient SLAM Method for Indoor Service Robots126 citations · 2018
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- 4A Review of Bioinspired Vision Sensors and Their Applications20 citations · 2015
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- 9Fusion of biomedical microcapsule endoscope and microsystem technology16 citations · 2005
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