S. Luengo

Universitat Ramon Llull, La Salle University

Papers

Total Citations

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About

S. Luengo is a researcher whose work lies at the intersection of robotics, computer vision, and neural network hardware. Their primary research focus is on applying cellular neural networks (CNNs) to enable real-time visual navigation for autonomous mobile robots. Luengo's major contribution demonstrates that CNNs, through their analogue hardware implementation, can perform complex visual processing tasks—such as feature detection and object recognition—with the speed necessary for practical robotic guidance. This approach offers a compelling alternative to traditional digital processing, which often struggles with real-time constraints. The most-cited paper, "Guiding a mobile robot with cellular neural networks" (2002), has garnered 13 citations, reflecting its influence in the niche field of neuromorphic robotics. While their publication record is modest, Luengo's work represents an early and important exploration of how neural network architectures can be directly embedded into robotic systems, bridging the gap between theoretical neural computation and practical autonomous navigation.