Papers
7
Total Citations
32
H-Index
3
About
Nasr-Eddine Berrached is a pioneering researcher at the intersection of assistive technology, brain-computer interfaces (BCIs), and multi-robot systems. His work centers on developing inclusive technologies that empower individuals with severe motor disabilities, particularly through synchronous P300-based BCIs that enable control of home appliances—a contribution that has garnered 10 citations for its direct impact on integrating paralyzed individuals into daily life. Berrached has also advanced hybrid BCI paradigms, combining ERP and SSVEP signals to expand command sets, as reflected in his 2024 work. Beyond neurotechnology, he has made significant strides in human-robot interaction, including facial expression recognition systems for commanding mobile and arm robots, and reactive navigation using temporal radial basis functions. His research extends to secure, real-time cooperation of mobile robot fleets through visual servoing and fuzzy logic-based formation control. With a career spanning from foundational neural network approaches in 2004 to cutting-edge hybrid BCIs in 2024, Berrached’s work demonstrates a sustained commitment to bridging human intention and robotic action, improving quality of life for disabled individuals and advancing autonomous multi-robot coordination.
Research Focus
Key Achievements
Top Papers
- 1Synchronous P300 based BCI to control home appliances10 citations · 2016
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- 4Human-Robots Interaction by Facial Expression Recognition3 citations · 2020
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