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About

Sang-Wook Seo is a robotics researcher whose work spans autonomous mobile robot navigation, simultaneous localization and mapping (SLAM), and intelligent swarm robot systems. His most influential contribution, "SLAM of Mobile Robot in the Indoor Environment with Digital Magnetic Compass and Ultrasonic Sensors" (2007, 27 citations), addressed a fundamental challenge in robotics: enabling a robot to construct an environmental map while concurrently tracking its own position — all without prior knowledge of its surroundings. By leveraging cost-effective ultrasonic sensors alongside interference-resistant digital magnetic compasses, Seo demonstrated a practical, accessible approach to indoor SLAM. Beyond localization, Seo made notable strides in bio-inspired and evolutionary robotics. His research on evolvable neural networks based on developmental models (2007) explored how biological principles can drive autonomous design of adaptive control systems for robots navigating dynamic environments. A recurring theme across his publications is swarm robotics — investigating how large groups of small robots can learn cooperative behaviors through techniques such as reinforcement learning, distributed genetic algorithms, and Support Vector Machines (SVM). With a cumulative citation count exceeding 65 across his key works, Seo's research has meaningfully advanced the fields of autonomous navigation and collective robot intelligence, offering foundational frameworks that continue to inform modern multi-robot system design.