Papers
4
Total Citations
48
H-Index
4
About
Yixue Hao is a pioneering researcher at the intersection of cloud computing, affective computing, and human-robot interaction. Her work focuses on enabling robots to perceive, interpret, and respond to human emotions, making human-machine communication more natural and empathetic. Hao’s most cited paper, “CP-Robot: Cloud-Assisted Pillow Robot for Emotion Sensing and Interaction” (2016, 20 citations), introduces a novel system that leverages cloud resources to enhance a pillow robot’s ability to sense and interact with users’ emotional states. She also developed the Learning through Interactive Video and Emotion-aware System (LIVES), which integrates data collection, emotion recognition, and real-time feedback to improve accuracy and efficiency in affective computing. Her research on cloud-assisted humanoid and “hugtive” robots (2016, 5 and 4 citations respectively) demonstrates how cloud computing, big data, and machine learning can empower robots with affective interaction capabilities for household and personal service applications. Hao’s contributions are foundational to creating emotionally intelligent robotic companions, with her work cited in studies advancing cloud-robot architectures and emotion-aware systems.
Research Focus
Key Achievements
Top Papers
- 1CP-Robot: Cloud-Assisted Pillow Robot for Emotion Sensing and Interaction20 citations · 2016
- 2Demo19 citations · 2015
- 3Cloud-assisted humanoid robotics for affective interaction5 citations · 2016
- 4Cloud-assisted hugtive robot for affective interaction4 citations · 2016