Jae-Hyun Han

Papers

Total Citations

H-Index

About

Jae-Hyun Han is a researcher in the field of human-robot interaction, with a particular focus on intuitive and accessible control methods. His most cited work, "Human Robot Interaction Method by Using Hand Gesture Recognition" (2017), explores the use of natural hand gestures as a means of communication between humans and robots, aiming to reduce the reliance on complex interfaces or controllers. This contribution addresses a key challenge in robotics: enabling seamless, non-verbal interaction that can be easily understood by non-expert users. While his citation count is modest, with the paper receiving 2 citations, it represents a foundational step in gesture-based control systems. Han’s work is notable for its emphasis on user-centered design, potentially paving the way for more inclusive robotic systems in assistive technologies, manufacturing, or service robotics. His research aligns with broader trends in making robots more responsive and adaptable to human behavior, highlighting the importance of natural communication channels in advancing human-robot collaboration.