Yeongdae Kim
Papers
1
Total Citations
5
H-Index
1
About
Yeongdae Kim is a researcher in human motor control and human-robot interaction, with a focus on understanding the neural and biomechanical asymmetries between the dominant and non-dominant hands. His work investigates how these differences can inform the design of more natural, human-like robotic control systems. In his most-cited paper, "Analysis of Differences in Single-Joint Movement of Dominant and Non-Dominant Hands for Human-like Robotic Control" (2023, 5 citations), Kim addresses a long-standing debate on upper limb laterality by isolating single-joint movements, thereby reducing confounding variables present in multi-joint tasks. This methodological clarity offers a more definitive understanding of functional asymmetries, providing a foundation for developing robotic controllers that better mimic human dexterity and coordination. By bridging the gap between fundamental motor control research and applied robotics, Kim’s contributions are particularly valuable for advancing prosthetics, exoskeletons, and collaborative robots. His work stands out for its rigorous approach to a classic problem, offering both theoretical insights and practical pathways for creating more intuitive and adaptive robotic systems.
Research Focus
Key Achievements
Top Papers
- 1