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Seung-Eun Yu is a leading researcher in bio-inspired robotics, specializing in autonomous navigation and landmark-based homing systems. Her work draws inspiration from insect behaviors, particularly the homing strategies of ants, bees, and fiddler crabs, to develop efficient algorithms for mobile robots. Yu's major contributions include the development of image-based homing navigation using landmark arrangement matching (2011, 25 citations) and the analysis of landmark vectors for improved navigation accuracy (2012, 20 citations). She advanced the field by integrating omnidirectional depth information into landmark-based models (2017, 14 citations), enabling robots to better perceive their environment. Yu also tackled practical challenges such as occlusion problems in landmark-based methods (2011, 4 citations) and explored distance estimation techniques inspired by fiddler crab surveillance behavior (2012, 3 citations). Her work on air-ground cooperating robots (2010, 2 citations) highlights her interest in heterogeneous robotic systems. With over 70 total citations, Yu's research bridges biology and robotics, offering robust, insect-inspired solutions for autonomous navigation. Her studies are essential reading for students and researchers developing bio-inspired algorithms for real-world robotic applications.