Seung Hoon Kang

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About

Seung Hoon Kang is a researcher specializing in bio-inspired robotics, computer vision, and human-robot interaction, with a particular focus on robotic fish systems. His work addresses the challenge of coordinating multiple autonomous underwater robots in confined environments, such as aquariums, where collision avoidance and precise movement control are critical. Kang’s major contributions include developing a color detection algorithm that enables robot fish to identify their position relative to others and navigate without interference, as demonstrated in his 2019 paper (4 citations). He extended this work with a lead-lag swimming control method that uses image processing to prevent collisions, ensuring smoother, safer group movement (2020, 4 citations). In a notable interdisciplinary achievement, Kang integrated artificial intelligence with hand gesture recognition, allowing humans to control robotic fish in real time—mimicking natural fish behavior through simple hand signals (2020, 3 citations). Though early in his career, Kang’s research lays important groundwork for autonomous underwater swarms and intuitive human-robot interfaces, with potential applications in environmental monitoring, aquatic robotics, and interactive exhibits.