Shengpu Xu

Chinese Academy of Medical Sciences & Peking Union Medical College

Papers

Total Citations

156

H-Index

About

Shengpu Xu is a leading researcher in brain-computer interfaces (BCIs) and assistive robotics, with a focus on restoring motor function for individuals with severe disabilities. His most-cited work, "Control of a 7-DOF Robotic Arm System With an SSVEP-Based BCI" (2018, 156 citations), demonstrates a groundbreaking approach to enabling real-time, non-invasive control of a highly dexterous robotic arm using steady-state visual evoked potentials. This study addresses a critical challenge: allowing users with minimal motor control—such as those with locked-in syndrome—to interact with their environment through thought alone. By integrating high-degree-of-freedom robotics with an SSVEP-based BCI, Xu’s work significantly advances the practicality of assistive technologies, moving beyond simple cursor or wheelchair control to complex manipulation tasks. His contributions have been widely cited in both engineering and clinical rehabilitation fields, underscoring their impact on human-robot interaction and neuroprosthetics. Xu’s research continues to push the boundaries of BCI-driven robotics, offering new hope for enhanced independence and quality of life for those with severe motor impairments.