Papers
2
Total Citations
8
H-Index
2
About
Dr. Nayoung Oh is a rising leader in human-robot interaction, whose work focuses on enabling robots to understand and proactively assist humans in dynamic, real-world settings. Her research bridges the gap between robotic perception and fluid collaboration, with a particular emphasis on task-oriented handovers and the integration of large language models (LLMs) into robotic systems. In her highly cited 2021 paper, "A Robot Capable of Proactive Assistance through Handovers for Sequential Tasks" (6 citations), Dr. Oh demonstrated a novel framework for robots to anticipate human needs during sequential tasks, moving beyond reactive commands to offer timely, context-aware support. This work laid the groundwork for more intuitive human-robot teamwork. More recently, her 2024 survey, "A Survey on Integration of Large Language Models with Intelligent Robots" (2 citations), has quickly become a key reference, synthesizing the transformative potential of LLMs to endow robots with human-like reasoning and communication. By charting this emerging frontier, Dr. Oh is shaping how next-generation robots will understand natural language and execute complex, collaborative actions. Her contributions are pivotal for students and researchers aiming to build robots that are not just tools, but true partners.
Research Focus
Key Achievements
Top Papers
- 1
- 2A Survey on Integration of Large Language Models with Intelligent Robots2 citations · 2024