Max Robotics — Global Service Robot Directory + US Certification

About

Dong-Hoon Yi is a robotics researcher specializing in autonomous navigation, sensor fusion, and visual perception for indoor service robots. His most impactful contribution is a monocular vision-based obstacle detection algorithm that labels image pixels in real time to distinguish obstacles from floor surfaces, enabling safer autonomous robot movement. This work has garnered 49 citations and remains a foundational reference in low-cost robotic perception. Yi is also recognized for pioneering the use of afocal optical flow sensors (AOFS) for robot odometry, particularly in challenging environments with low luminance or slippery floors where conventional wheel encoders fail. His 2018 paper on AOFS-based sensor fusion for localization in such conditions has received 19 citations, highlighting its practical value. Additionally, his 2015 study on reducing vertical height sensitivity in optical flow sensors (16 citations) addresses a critical limitation in indoor robot navigation. Yi’s research bridges the gap between robust, low-cost sensing and real-world deployment, making him a notable contributor to service robotics. His work consistently emphasizes reliability in adverse conditions, a key concern for autonomous systems operating in unstructured indoor spaces.