Zhenzhen Quan
Papers
1
Total Citations
8
H-Index
1
About
Zhenzhen Quan is a pioneering researcher at the intersection of robotics, neuroscience, and animal-computer interaction. Her work focuses on developing intelligent robotic systems capable of modulating the emotional states of animals, with profound implications for both biomedical research and human-robot interaction. Quan’s most notable contribution is her 2024 study, "Modulating emotional states of rats through a rat-like robot with learned interaction patterns," which has already garnered 8 citations—a strong early indicator of its impact. In this work, she designed a biomimetic rat robot that learns and adapts its social behaviors to influence rodent emotions, bridging gaps in affective computing and ethorobotics. By demonstrating that robots can serve as emotionally responsive social partners, Quan opens new avenues for stress reduction in laboratory animals and advances therapeutic robotics. Her interdisciplinary approach, combining machine learning with behavioral neuroscience, marks her as a rising leader in emotionally intelligent robotics.
Research Focus
Key Achievements
Top Papers
- 1