Papers

12

Total Citations

333

H-Index

7

About

Gabriel Pires is a leading researcher in assistive robotics and brain-computer interfaces (BCIs), with a primary focus on developing intelligent, brain-actuated wheelchairs for individuals with severe motor disabilities. His most significant contributions lie in creating robust, shared-control navigation systems that integrate non-invasive EEG signals (such as P300 and self-paced BCIs) with collaborative controllers, dramatically improving the reliability and safety of wheelchair driving. His 2012 paper on assisted navigation for a brain-actuated wheelchair (99 citations) and his 2021 work on a self-paced BCI with a collaborative controller tested on physically disabled individuals (80 citations) are landmark studies, demonstrating real-world feasibility and user-centered design. Pires also pioneered hybrid motion planners for constrained indoor environments (49 citations) and explored emotion and stress detection through EOG and GSR signals to enhance human-robot interaction. His work on the RobChair platform at the University of Coimbra’s Institute of Systems and Robotics has consistently pushed the boundaries of assistive mobility, earning him over 300 citations and establishing him as a key figure in rehabilitation robotics.

Research Focus

Key Achievements

7
H-Index
12
Papers
333
Total Citations
28
Avg Citations/Paper
🏆 Most Cited Paper
Assisted navigation for a brain-actuated intelligent wheelchair
99 citations · 2012
📈 Most Prolific Year: 2019 (4 Papers)
🤝 Key Collaborators: 18
🏛 Institutions: Institute for Systems Engineering and Computers, University of Coimbra, Instituto Politécnico de Tomar

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago