Seona Shin

Papers

Total Citations

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About

Seona Shin’s research sits at the intersection of robotics, artificial intelligence, and human-robot interaction, with a particular focus on rescue robotics and the cultural representation of intelligent machines. Her most cited work, “Communication system of a segmented rescue robot utilizing socket programming and ROS” (2017, 16 citations), addresses a critical challenge in disaster response: maintaining reliable communication when infrastructure is destroyed. By integrating socket programming with the Robot Operating System (ROS), Shin proposed a robust, segmented communication architecture that enables rescue robots to operate effectively in hazardous, communication-denied environments—a contribution that has informed subsequent work in field robotics. In a complementary vein, her paper “Taxonomies of Artificial Intelligence Robot appeared in SF films” (2016) offers a systematic framework for classifying AI and robots in science fiction cinema, organizing them along axes of anthropomorphism, function, AI level, and human-robot interaction type. This work bridges popular culture and technical taxonomy, providing a novel lens for understanding how fictional portrayals shape public and research expectations of AI. Though early in her career, Shin’s dual focus on practical rescue robotics and conceptual AI classification demonstrates a rare ability to connect engineering challenges with broader societal narratives, marking her as a thoughtful and interdisciplinary voice in robotics research.