Kang Woo Lee
Papers
1
Total Citations
7
H-Index
1
About
Kang Woo Lee is a researcher whose work lies at the intersection of human–robot interaction (HRI) and cooperative game theory, exploring how humans and robots can collaborate as strategic partners. His most notable contribution, the 2008 paper "Human–Robot Interaction as a Cooperative Game," introduces a framework that models HRI as a dynamic, cooperative game, where both agents share goals and adjust their actions to optimize joint outcomes. This foundational work has garnered 7 citations, influencing subsequent studies on trust, communication, and decision-making in robotic systems. Lee’s research emphasizes the importance of mutual adaptation and shared intent, moving beyond traditional command-based interfaces toward more intuitive, collaborative interactions. His insights are particularly valuable for designing robots that work alongside humans in settings like manufacturing, healthcare, and service industries. By framing HRI through the lens of game theory, Lee has provided a novel perspective that bridges robotics, cognitive science, and economics, offering a structured way to analyze and improve human-robot teamwork. His work continues to inspire researchers seeking to create more natural and effective robotic partners.
Research Focus
Key Achievements
Top Papers
- 1Human–Robot Interaction as a Cooperative Game7 citations · 2008