Dae-Sung Seo

Papers

Total Citations

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About

Dae-Sung Seo is a pioneering researcher in robotics and artificial intelligence, with a primary focus on mobile robot localization and human-robot interaction. His most influential work, "A Probabilistic Approach for Mobile Robot Localization under RFID Tag Infrastructures" (2005, 21 citations), addresses a critical challenge in simultaneous localization and mapping (SLAM) by proposing a cost-effective probabilistic framework. This approach leverages RFID tags as an alternative to expensive laser sensors, making autonomous navigation more accessible for real-world applications. Seo’s contribution is notable for advancing localization accuracy in uncertain environments, a foundational problem in robotics that has inspired further research in sensor fusion and AI-driven navigation. In a more recent direction, Seo explores emotional robotics with "Vector based 3D Emotion Expression for Emotion Robot" (2019, 2 citations). This work introduces a novel method for integrating facial, vocal, and gestural cues into a unified 3D emotion expression system, aiming to enhance the naturalness of human-robot interaction. While still emerging, this research reflects Seo’s commitment to bridging technical robustness with social intelligence. His career demonstrates a trajectory from foundational SLAM innovations to the nuanced challenges of affective computing, underscoring his versatility and impact in shaping how robots perceive and engage with the world.