Norberto Santos

Institute for Systems Engineering and Computers

Papers

Total Citations

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About

Norberto Santos is a researcher in mobile robotics, with a primary focus on autonomous navigation, map learning, and localization in dynamic environments. His work centers on developing neural and fuzzy-based architectures that allow robots to build and update internal representations of unknown or changing worlds without human intervention. Santos’s most influential contribution is the introduction of an on-line method for learning self-organizing maps using the fuzzy ART neural architecture (FARTNA), which enables mobile robots to adapt their world models in real time as they explore dynamic spaces. This work, published in 2004, has garnered 7 citations and represents a key step forward in adaptive robotic mapping. In related work from 2003, Santos addressed the critical problem of mobile robot localization—determining a robot’s pose from sensor data—by integrating a fuzzy ART world model into the navigation architecture. Though modest in citation count, these contributions form a coherent body of research that advances the integration of neural learning and fuzzy logic for autonomous robotic systems, particularly in unstructured and evolving environments.