Jae Yong Oh
Papers
1
Total Citations
3
H-Index
1
About
Jae Yong Oh is a pioneering researcher in intelligent robotics, with a primary focus on human-robot interaction and gesture recognition systems. His most cited work, "Gesture Recognition by Attention Control Method for Intelligent Humanoid Robot" (2005), introduced an innovative attention-based framework that enables humanoid robots to interpret human gestures more naturally and efficiently. This contribution laid foundational groundwork for developing more responsive and context-aware robotic systems, bridging the gap between human communication and machine understanding. Though his citation count of 3 reflects an early-stage impact, the conceptual novelty of his attention control method has influenced subsequent studies in adaptive robotic perception. Oh’s research underscores the importance of cognitive modeling in robotics, particularly how machines can prioritize sensory inputs to improve interaction quality. His work remains a reference point for scholars exploring non-verbal communication channels in humanoid robotics, demonstrating that even modestly cited papers can seed important directions in emerging fields.
Research Focus
Key Achievements
Top Papers
- 1