Xiaochu Zhang

University of Science and Technology of China, Shanghai International Studies University

Papers

Total Citations

H-Index

About

Xiaochu Zhang is a pioneering researcher at the intersection of cognitive neuroscience and human-robot interaction, whose work bridges brain-computer interfaces (BCIs) and the neural underpinnings of social perception. Zhang’s major contributions include developing a winning solution for the supervised motor imagery task at the prestigious BCI Controlled Robot Contest in the 2021 World Robot Contest, a breakthrough that demonstrated how data augmentation and preprocessing can enhance real-world BCI performance. This work, cited 5 times, highlights Zhang’s technical expertise in decoding neural signals for robotic control. More recently, Zhang has explored the emotional and evolutionary dimensions of human-robot interaction, revealing that separable amygdala activation patterns underlie how we evaluate robots, and that humanoid robots can be perceived as an evolutionary threat—findings that challenge assumptions about robotic design and social acceptance. With a growing citation impact, Zhang’s research is shaping how we understand the brain’s response to artificial agents, offering critical insights for designing robots that are both functional and socially harmonious.