Myeong Jin Seo

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About

Myeong Jin Seo is a researcher specializing in bio-inspired robotics and intelligent control systems, with a particular focus on underwater robotic platforms. His work centers on developing autonomous navigation and coordination strategies for robotic fish, addressing critical challenges in multi-agent swarm behavior and collision avoidance. Seo’s most cited paper, “Lead-lag Swimming Control of Robot Fish Using Color Detection Algorithm” (2020, 4 citations), introduces an innovative approach that leverages real-time image processing to enable synchronized, collision-free swimming in robot fish aquariums. By employing color detection algorithms, his method allows robotic fish to maintain optimal lead-lag formations, effectively preventing damage from erratic movements common in uncontrolled environments. This contribution is foundational for advancing reliable, scalable underwater robotic systems used in environmental monitoring, search-and-rescue, and aquatic ecosystem studies. Seo’s work bridges computer vision and robotics, demonstrating practical solutions for real-world deployment. His research continues to influence the design of robust, adaptive control mechanisms for autonomous underwater vehicles, marking him as an emerging voice in the field of bio-robotics and intelligent swarm coordination.