Seung-Woo Seo
Papers
1
Total Citations
4
H-Index
1
About
Seung-Woo Seo is a pioneering researcher at the intersection of robotics, artificial intelligence, and human-robot interaction, with a primary focus on developing autonomous systems that can understand and adapt to dynamic, real-world environments. His most notable contribution is the introduction of the Experience-and-Emotion Map (E2Map), a novel framework that integrates large language models (LLMs) with self-reflective navigation for robots. This work, published in 2025 and already garnering 4 citations, addresses a critical gap in existing LLM-guided navigation methods, which are typically limited to static settings. By enabling robots to leverage past experiences and emotional context, Seo’s approach allows for more nuanced and adaptive decision-making in complex, changing environments. His research has significant implications for creating more intelligent and socially aware autonomous agents, bridging the gap between high-level language instructions and low-level robotic control. Seo’s work stands out for its innovative fusion of cognitive science principles with cutting-edge AI, positioning him as a rising leader in the field of embodied AI and human-centered robotics.
Research Focus
Key Achievements
Top Papers
- 1