Tianhao Hu

University of Toronto

Papers

1

Total Citations

112

H-Index

1

About

Tianhao Hu is a leading researcher in social robotics and human-robot interaction (HRI), with a primary focus on developing emotionally intelligent systems that enable natural, bidirectional communication between humans and machines. His most influential work, "A Multimodal Emotional Human–Robot Interaction Architecture for Social Robots Engaged in Bidirectional Communication" (2020, 112 citations), introduces a groundbreaking framework that allows robots to interpret human affective cues—such as facial expressions, vocal tone, and gestures—and respond with appropriate emotional behaviors. This architecture represents a significant advance in making social robots more empathetic and engaging, bridging the gap between technical functionality and human-like interaction. By integrating multimodal sensing and emotional modeling, Hu’s contributions have laid the foundation for more intuitive and responsive robotic companions, with applications in healthcare, education, and assistive technologies. His work is widely cited and recognized for its practical impact on the field, earning him a reputation as a key innovator in affective computing and socially aware robotics.

Research Focus

Key Achievements

1
H-Index
1
Papers
112
Total Citations
112
Avg Citations/Paper
🏆 Most Cited Paper
A Multimodal Emotional Human–Robot Interaction Architecture for Social Robots Engaged in Bidirectional Communication
112 citations · 2020
📈 Most Prolific Year: 2020 (1 Papers)
🤝 Key Collaborators: 7
🏛 Institutions: University of Toronto

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 11 days ago