Papers
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About
Dr. Minho Park is a robotics researcher whose work focuses on vision-based navigation and autonomous systems, particularly for mobile robots operating in indoor environments. His key contributions center on developing algorithms that enable robots to perceive and orient themselves within structured spaces using visual data. In his notable 2011 paper, "Vision-based direction determination of a mobile robot in indoor environment," Dr. Park introduced a method that leverages the Hough transformation and horizontal line detection to determine a robot’s direction relative to surrounding walls. This approach allows robots to maintain spatial awareness without relying on expensive sensors, advancing practical, low-cost solutions for indoor navigation. While his most cited work has garnered 4 citations, it represents a foundational step in vision-guided robotics, emphasizing simplicity and real-time applicability. Dr. Park’s research bridges computer vision and robotics, offering insights into how autonomous systems can interpret their surroundings through minimal visual cues. His work is valuable for students and researchers exploring efficient, vision-based localization techniques in constrained environments.
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Top Papers
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