Hyoungnyoun Kim

Korea Institute of Science and Technology

Papers

Total Citations

H-Index

About

Hyoungnyoun Kim’s research focuses on advancing human-robot interaction, with key contributions in teleoperation, grasp planning, and learning from human demonstration. His work bridges the gap between complex robotic systems and intuitive user control, particularly for unskilled operators. In his 2014 study on task-oriented teleoperation, Kim introduced natural 3D user interaction methods that reduce the cognitive load of direct control and haptic feedback, enabling users to perform remote tasks more efficiently—a foundational approach cited 3 times for its practical implications. Earlier, in 2011, he explored human-demonstration-based grasping for unknown objects, developing a system where robots learn grasping points and approaching directions by observing human actions. This work, presented in a video format, demonstrates multi-robot coordination and has garnered 2 citations for its innovative learning paradigm. Kim’s contributions are notable for their emphasis on accessibility and adaptability, making robotic manipulation more intuitive for non-experts. His research holds promise for applications in manufacturing, assistive robotics, and remote operations, reflecting a commitment to democratizing robotic technology through user-centered design.