Shurui Jiang
Papers
1
Total Citations
11
H-Index
1
About
Shurui Jiang is a researcher in brain-computer interfaces (BCI) and assistive robotics, with a focus on translating neural signals into practical control commands for service robots. Their most cited work, "Design of an SSVEP-based BCI system with visual servo module for a service robot to execute multiple tasks" (2017, 11 citations), addresses a critical challenge in the field: enabling physically challenged individuals to operate robots in real-world environments. By integrating steady-state visual evoked potentials (SSVEP) with a visual servo module, Jiang’s system allows users to command a robot to perform multiple tasks—such as grasping objects or navigating spaces—using only brain signals. This work bridges the gap between laboratory BCI demonstrations and practical, everyday assistance, offering a pathway to greater independence for users with motor impairments. While their citation count reflects a focused, early-stage contribution, Jiang’s research is notable for its emphasis on real-time, multi-task functionality, a key hurdle in assistive robotics. Their work underscores a commitment to human-centered design, making BCI technology more accessible and actionable for those who need it most.
Research Focus
Key Achievements
Top Papers
- 1