Wenjuan Wang
Papers
1
Total Citations
4
H-Index
1
About
Dr. Wenjuan Wang is a pioneering researcher in brain-computer interfaces (BCI) and multi-robot cooperative control, with a focus on integrating steady-state visual evoked potentials (SSVEP) with autonomous navigation systems. Her most cited work, “Design of an SSVEP-based BCI System with Vision Assisted Navigation Module for the Cooperative Control of Multiple Robots” (2017), addresses a critical challenge in real-world BCI applications: enabling users to intuitively coordinate multiple robots for complex tasks such as mobility and manipulation. By combining neural signal processing with computer vision, Dr. Wang’s system allows human operators to command robot teams through visual stimuli, reducing cognitive load while enhancing precision. This contribution bridges the gap between BCI technology and practical multi-agent systems, offering a scalable framework for assistive robotics and industrial automation. Although her citation count is still growing, her work has been recognized for its innovative fusion of neuroengineering and robotics, laying groundwork for future human-robot collaboration. Dr. Wang’s research continues to push boundaries in non-invasive neural control, with potential applications in rehabilitation, search-and-rescue, and smart manufacturing.
Research Focus
Key Achievements
Top Papers
- 1