Rafael Barea
Papers
39
Total Citations
681
H-Index
14
About
Rafael Barea is a prominent researcher at the University of Alcalá whose work spans robotics, autonomous navigation, and human-machine interfaces — fields in which he has made lasting contributions over more than two decades. His early groundbreaking research focused on assistive technology, developing electro-oculographic (EOG) systems that enable wheelchair control through eye movements, work that attracted over 140 combined citations and opened new possibilities for mobility-impaired individuals. These pioneering neural network-based approaches to interpreting ocular signals demonstrated both technical ingenuity and a commitment to socially impactful engineering. Barea's research later expanded into autonomous robotics and navigation, particularly Simultaneous Localization and Mapping (SLAM) for Micro Aerial Vehicles operating in GPS-denied indoor environments. His multi-sensorial SLAM systems, combining monocular cameras, laser sensors, and sensor fusion techniques, have collectively garnered over 150 citations, establishing him as a key contributor to low-cost drone autonomy. More recently, he has turned his expertise toward self-driving vehicles, producing notable work on waypoint tracking controllers and simulation-based training architectures using the CARLA simulator. Across these diverse domains, Barea exemplifies a researcher who bridges theoretical innovation with practical, real-world implementation, making his work highly valuable to students and engineers alike.
Research Focus
Key Achievements
Top Papers
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- 3EOG guidance of a wheelchair using neural networks64 citations · 2002
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- 7A Navigation System for Assistant Robots Using Visually Augmented POMDPs31 citations · 2005
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- 9Real-time hierarchical stereo Visual SLAM in large-scale environments23 citations · 2010
- 10Indoor SLAM for Micro Aerial Vehicles Using Visual and Laser Sensor Fusion23 citations · 2015