Taesoo Kwon

Papers

Total Citations

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About

Taesoo Kwon is a leading researcher in human-robot interaction (HRI), with a primary focus on understanding and engineering the social and physical dynamics between humans and robotic systems. His work critically examines whether robots can replicate the depth of social information processing found in human-human interaction, a question central to designing more intuitive and effective collaborative robots. In his most cited work (2017, 19 citations), Kwon investigates the cognitive and emotional dimensions of HRI, probing how people perceive and respond to robotic partners. On the technical side, he has developed real-time frameworks for planning natural and smooth grasping motions during human-robot cooperation (2016, 4 citations). By leveraging motion field graphs from human demonstrations, his system enables robots to agilely adapt their grasp strategies in response to a human partner’s actions, making collaboration more fluid and responsive. This blend of social cognition research and practical motion planning highlights Kwon’s commitment to advancing robots that are not only functionally capable but also socially attuned, paving the way for more seamless human-robot teamwork in real-world settings.