Papers
2
Total Citations
14
H-Index
2
About
GiJae Lee is a researcher advancing the frontiers of socially intelligent robotics and autonomous perception. His primary research areas encompass human-robot interaction (HRI), social robotics, and 3D computer vision for robotic systems. Lee’s most notable contribution is the development of a robot facial expression framework designed to enhance empathy in human-robot interaction. This work, published in 2021 and garnering 12 citations, addresses a critical challenge: enabling social robots to communicate emotional states effectively, thereby fostering more natural and trusting human-robot relationships. By integrating social intelligence into robotic platforms, Lee’s research helps bridge the gap between mechanical functionality and human-like social cues. Additionally, his work on monocular 3D object detection for indoor robot environments tackles the fundamental problem of spatial perception, allowing service robots to accurately interact with objects of varying sizes and shapes. This capability is essential for robots to assist humans in real-world settings. Through these contributions, GiJae Lee is helping to shape a future where robots are not only perceptive but also emotionally attuned companions.
Research Focus
Key Achievements
Top Papers
- 1
- 2Monocular 3D object detection for an indoor robot environment2 citations · 2020