Guilherme Pertinni de Morais Gouveia

University of Coimbra, Institute for Systems Engineering and Computers

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About

Guilherme Pertinni de Morais Gouveia is a researcher whose work lies at the intersection of autonomous robotics, neural networks, and adaptive mapping. His primary research focus is on enabling mobile robots to navigate unknown and dynamic environments through intelligent map-building techniques. Gouveia’s major contributions center on the development of on-line, self-organizing map-learning methods that allow robots to construct variable-resolution representations of their surroundings in real time. His 2004 paper, “Learning self-organizing maps for navigation in dynamic worlds,” which has garnered 7 citations, introduces an innovative extension of the fuzzy ART neural architecture (FARTNA) for dynamic world mapping—a foundational approach that improves upon earlier methods. His 2003 work on multiresolution maps further advances navigation architectures by integrating learning with motion planning and localization. Gouveia’s research is notable for its practical impact on autonomous systems, providing robust solutions for robot localization and map building in complex, changing environments. His contributions continue to inform the development of adaptive, intelligent navigation systems for mobile robotics.