Papers
1
Total Citations
22
H-Index
1
About
Soo-Han Kang is a leading researcher in human-robot interaction (HRI) and robot vision, with a particular focus on bridging the perceptual gap between humans and machines. His most cited work, "Video Captioning Based on Both Egocentric and Exocentric Views of Robot Vision for Human-Robot Interaction" (2021, 22 citations), pioneers a novel approach to enabling robots to articulate their visual understanding during interactions. By integrating both egocentric (first-person) and exocentric (third-person) perspectives, Kang’s research allows robots to generate descriptive captions that make their internal reasoning transparent to human partners. This breakthrough directly addresses a critical challenge in HRI: fostering mutual understanding and trust between humans and autonomous systems. His work has been instrumental in advancing robot vision systems that not only perceive environments but also communicate their insights in human-readable formats. With growing recognition in the field, Kang’s contributions are shaping the future of collaborative robotics, where seamless communication between humans and machines is paramount. His research continues to influence the development of more intuitive, transparent, and effective human-robot partnerships.
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Top Papers
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