Xiaoqiang Mao

Papers

Total Citations

H-Index

About

Xiaoqiang Mao is a researcher at the forefront of brain-computer interfaces (BCI) and educational robotics, with a focus on making neurotechnology accessible for learning environments. His most cited work, "Education-oriented portable brain-controlled robot system" (2015), introduces an innovative, low-cost platform that integrates a multi-parameter bioelectric signal acquisition device with a Lego NXT Mindstorms robot. This compact system, measuring just 45 cm, allows students to control a robot using their brain signals, bridging the gap between neuroscience and hands-on STEM education. While his citation count of 3 reflects the niche nature of this early work, the paper's practical, education-first approach has laid groundwork for portable BCI applications in classrooms. Mao's contributions emphasize usability and affordability, aiming to democratize access to neurotechnology for young learners. His research represents a meaningful step toward integrating brain-controlled systems into educational curricula, inspiring future work in human-robot interaction and assistive technology.