Yeseung Kim

Korea Advanced Institute of Science and Technology

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Total Citations

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About

Yeseung Kim is a leading researcher at the intersection of artificial intelligence and robotics, with a primary focus on integrating large language models (LLMs) with intelligent robotic systems. Her work addresses the critical challenge of enabling robots to communicate, understand, and reason with human-like proficiency, bridging the gap between natural language processing and physical action. Kim’s most impactful contribution is her comprehensive survey on the integration of LLMs with intelligent robots, which has garnered 89 citations since its 2024 publication. This work systematically explores the challenges and opportunities in leveraging LLMs for robotic applications, from speech-guided navigation to human-robot interaction. She also developed the SGGNet² framework, a speech-scene graph grounding network that enables robots to navigate environments using spoken commands—a breakthrough particularly valuable for non-expert and disabled users. By tackling acoustic variability and environmental noise, Kim’s research pushes the boundaries of accessible, intuitive human-robot collaboration. Her work is shaping the next generation of autonomous systems that can understand and act upon natural language in real-world settings.