Real-Time Mobile Robot Obstacles Detection and Avoidance Through EEG Signals
This research highlights the trade-offs between accuracy, mental load, and engagement in BCI-based robot control. The findings support the development of more intuitive assistive robotics, particularly for disabled and elderly users.
Authors
- Alessandro Freddi (ORCID: https://orcid.org/0000-0002-9880-0238)
- Karameldeen Omer (ORCID: https://orcid.org/0000-0001-7997-8180)
- Andrea Monteriù (ORCID: https://orcid.org/0000-0001-5388-8697)
- Sabrina Iarlori (ORCID: https://orcid.org/0000-0001-5460-4764)
- Francesco Ferracuti (ORCID: https://orcid.org/0000-0001-6827-6204)
- Francesco Vella (ORCID: https://orcid.org/0009-0009-6947-4283)
Institutions
- Marche Polytechnic University (IT)
- University of Khartoum (SD)
Publication Details
- Journal
- Brain Sciences
- Published
- 2025-03-30
- DOI
- https://doi.org/10.3390/brainsci15040359
- Citations
- 3
- Primary Topic
- EEG and Brain-Computer Interfaces
- Type
- article
- Field-Weighted Citation Impact
- 4.29