Pei Rong Fu
Papers
1
Total Citations
6
H-Index
1
About
Pei Rong Fu is a leading researcher at the intersection of brain-computer interfaces (BCIs) and assistive robotics, with a primary focus on noninvasive EEG-based systems. Their most-cited work, the 2022 review "Latest Noninvasive EEG-Based Robotic Devices," has garnered 6 citations and provides a comprehensive analysis of how intelligent external devices—from mobile robots to wheelchair exoskeletons and robotic arm prosthetics—are evolving from disability aids to tools that augment human capability. Fu’s major contribution lies in synthesizing the rapid advancements in EEG signal processing and robotic control, highlighting the shift from purely assistive applications to broader human enhancement. This review serves as a critical resource for researchers and students navigating the growing field of BCI-driven robotics, offering a clear roadmap of current technologies and future directions. By cataloging key innovations and their real-world impacts, Fu has helped shape the discourse on noninvasive neural interfaces, making their work essential reading for anyone exploring the convergence of neuroscience, engineering, and human-robot interaction.
Research Focus
Key Achievements
Top Papers
- 1Review of latest noninvasive EEG-based robotic devices6 citations · 2022