Hyejin Han

Seoul National University of Science and Technology, Human Computer Interaction (Switzerland)

Papers

Total Citations

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About

Hyejin Han is a robotics researcher whose work focuses on solving fundamental control challenges for robots operating in complex, real-world environments. Her primary research areas include operational space control, task transition algorithms, and human motion imitation. Han’s most significant contribution is her development of a continuous task transition algorithm that allows robots to operate safely and effectively near singularities and joint limits—two of the most critical and difficult issues in task-space robot control. Her 2013 paper on this topic, "Robot Control near Singularity and Joint Limit Using a Continuous Task Transition Algorithm," has garnered 45 citations, reflecting its impact on the field. She further refined these concepts in her 2012 work on continuous task transitions for operational space control frameworks. Additionally, Han has explored real-time optimization for high-fidelity human motion imitation, addressing common problems like marker occlusion in motion capture systems. Her work is particularly notable for enabling robots to dynamically handle multiple task sets, making them more versatile and robust in practical applications.