Yew GuanSoo
Papers
1
Total Citations
4
H-Index
1
About
Yew Guan Soo is a researcher in brain-computer interfaces (BCI) and robotics, with a focus on developing systems that enable cooperative control of multiple robots through human intention. Their key research areas include steady-state visual evoked potential (SSVEP)-based BCI systems, vision-assisted navigation, and multi-robot coordination. A major contribution is the design of an integrated BCI system that combines SSVEP signal processing with a vision-assisted navigation module, allowing users to command multiple robots to perform cooperative service tasks such as mobility and manipulation. This work, published in 2017, addresses a critical gap in conventional BCI systems, which typically control only a single robot. While their most-cited paper has garnered 4 citations, it represents a foundational step toward practical, real-world BCI applications in assistive robotics. Soo’s research is notable for its interdisciplinary approach, merging neuroscience, computer vision, and robotics to enhance human-robot interaction. Their work holds promise for future applications in rehabilitation, elder care, and collaborative industrial environments, where intuitive, brain-driven control of multiple robots could significantly improve efficiency and accessibility.
Research Focus
Key Achievements
Top Papers
- 1