Papers
15
Total Citations
185
H-Index
8
About
Hai Vu is a researcher whose work spans human-robot interaction, assistive robotics, and multimodal recognition systems — fields that sit at the intersection of artificial intelligence and human-centered computing. With a career marked by consistent innovation, Vu has made notable contributions to enabling robots to perceive, interpret, and respond to human behavior across multiple sensory channels. Among his most impactful contributions is his development of assistive navigation systems for the visually impaired, including a way-finding mobile robot platform and a Visual SLAM localization system, which together have accumulated over 50 citations. His early work on expressive robotics — particularly fuzzy inference-based emotion representation for eye robots — demonstrated a pioneering interest in affective computing within robotics systems. Vu also advanced multimodal gesture and emotion recognition by fusing camera imagery, accelerometer data, and speech signals using sophisticated techniques such as Choquet integral and decision-level fusion, garnering over 50 additional citations across related works. More recently, his research has turned toward skeleton-based human action recognition, leveraging covariance descriptors and spatio-temporal representations to push performance in surveillance and human-robot interaction applications. Across more than a decade of research, Vu's cumulative work reflects a sustained commitment to building robots that are not only intelligent, but genuinely responsive to human needs.
Research Focus
Key Achievements
Top Papers
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- 9Intent expression using eye robot for mascot robot system6 citations · 2007
- 10Multimodal gesture recognition based on Choquet integral5 citations · 2011