Minpeng Xu

Papers

Total Citations

131

H-Index

About

Dr. Minpeng Xu is a leading researcher in brain–computer interfaces (BCIs), with a focus on enhancing the flexibility and usability of BCI-controlled robotic systems. His work bridges advanced signal processing, augmented reality, and human-robot interaction. A major contribution is the development of an adaptive asynchronous control system for robotic arms using augmented reality-assisted BCI, enabling more natural and intuitive operation—a paper that has garnered 87 citations. He has also significantly improved P300-speller classification accuracy through multi-window discriminative canonical pattern matching (32 citations), advancing the speed and reliability of ERP-based BCIs. Notably, Dr. Xu tackled the unique challenge of writing Chinese characters with a BCI-controlled robot, demonstrating that two-dimensional character composition is possible through visual BCI—a creative leap beyond traditional one-dimensional spelling systems (12 citations). His work not only pushes the boundaries of BCI technology but also addresses culturally relevant applications, making him a key figure in the next generation of practical, adaptive brain-controlled systems.