Yu Jung Chae
Papers
1
Total Citations
2
H-Index
1
About
Yu Jung Chae is a robotics researcher whose work focuses on enabling humanoid robots to learn and replicate human motion with greater accuracy and naturalism. Her primary research areas include human-robot interaction, motion imitation, and inverse kinematics for humanoid platforms. In her most notable work, "Imitation of Human Upper-Body Motions by Humanoid Robots" (2019), Chae developed a novel offline imitation method that uses inverse kinematics with task classification—simultaneously addressing end-effector tracking, joint limit avoidance, and joint trajectory tracking. This approach was successfully validated on the humanoid robot N, demonstrating a practical pathway for robots to mimic complex human upper-body movements. While her citation count is still growing, Chae’s contributions are significant for advancing intuitive human-robot collaboration, particularly in assistive robotics and entertainment. Her work lays important groundwork for future systems where robots can learn from human demonstration without requiring extensive programming, making her a promising voice in the field of humanoid motion control.
Research Focus
Key Achievements
Top Papers
- 1Imitation of Human Upper-Body Motions by Humanoid Robots2 citations · 2019