Papers
1
Total Citations
2
H-Index
1
About
Yeong Nam’s research lies at the intersection of human-robot interaction and embodied intelligence, with a particular focus on enabling humanoid robots to acquire complex, human-like abilities through intuitive interfaces. His most cited work, "Developing New Abilities for Humanoid Robots with a Wearable Interface" (2009, 2 citations), introduces a groundbreaking approach that leverages the principle of imitation as a primary learning mechanism. Nam designed a lightweight, multi-modal wearable interface that allows humans to physically guide and communicate with robots, effectively transferring skills through demonstration. This work is notable for its emphasis on creating a seamless, bidirectional communication channel—combining tactile, visual, and kinesthetic feedback—to accelerate robot learning without requiring extensive programming. While the citation count is modest, the conceptual contribution is significant: it pioneers a user-centered methodology that prioritizes natural interaction over algorithmic complexity. Nam’s research underscores a vision where robots are not merely programmed but taught, making advanced robotics more accessible and adaptable for real-world applications.
Research Focus
Key Achievements
Top Papers
- 1Developing New Abilities for Humanoid Robots with a Wearable Interface2 citations · 2009