Yi Piao

University of Science and Technology of China

Papers

Total Citations

H-Index

About

Yi Piao is a rising researcher at the intersection of brain-computer interfaces (BCI) and human-robot interaction. Their key contributions lie in developing practical solutions for motor imagery decoding and investigating the neural underpinnings of how humans evaluate robots. Notably, Piao led the winning solution for the supervised motor imagery task in the prestigious BCI Controlled Robot Contest at the 2021 World Robot Contest, a paper that has garnered 5 citations for its innovative use of data augmentation and preprocessing techniques to enhance BCI performance. In more recent work (2024, 3 citations), Piao has delved into social robotics, revealing separable amygdala activation patterns during the evaluation of robots—a finding that sheds light on the fundamental neural processes driving our social perceptions of machines. This dual focus on engineering robust BCI systems and exploring the cognitive neuroscience of human-robot interaction positions Piao as a unique voice bridging technical development and psychological insight. Their work is particularly relevant for students and researchers interested in real-world BCI applications, affective computing, and the neural basis of social cognition in an increasingly automated world.