Andrew Huang
Papers
1
Total Citations
4
H-Index
1
About
Andrew Huang is a pioneering researcher at the intersection of human-robot interaction, affective computing, and developmental robotics. His work focuses on creating non-invasive, real-time methods to understand how children engage with social robots, particularly through multimodal sensing. In his most cited work, "The Nose Knows: Using Thermal Imaging to Approximate Children's Engagement with Robots" (2024, 4 citations), Huang introduces a novel data pipeline that combines visual and thermal cameras to detect physiological changes—such as nasal temperature fluctuations—as markers of cognitive load and engagement. This approach enables a desktop social robot developed by Honda Research Institute to adapt its behavior based on a child's subtle, unconscious responses, moving beyond traditional gaze or gesture tracking. Huang's contributions are significant for their potential to make robot-child interactions more intuitive, responsive, and ethically sound by avoiding intrusive sensors. His work bridges computer vision, thermal imaging, and developmental psychology, offering a scalable framework for future educational and therapeutic robots. As a rising voice in socially assistive robotics, Huang is shaping how machines perceive and respond to human emotional and cognitive states.
Research Focus
Key Achievements
Top Papers
- 1