Filiberto Lopez Larios
Papers
2
Total Citations
11
H-Index
2
About
Filiberto Lopez Larios is a researcher whose work sits at the intersection of robotics, computer vision, and intelligent control systems. His most recognized contribution centers on the development of a robot-vision system for autonomous vehicle navigation, a project that demonstrates the practical integration of machine vision techniques with fuzzy-logic control implemented through LabVIEW. In this work, Lopez Larios applied real-time image processing to guide a remote-controlled vehicle through a closed circuit, showcasing how academic research can translate computational intelligence into tangible autonomous systems. This contribution has garnered citations within the robotics and automation research community, reflecting its relevance as a foundational demonstration of sensor-driven navigation architectures. His approach — combining fuzzy logic's capacity for handling uncertainty with the visual feedback of computer vision — positions him within a broader tradition of researchers working to make autonomous systems more adaptive and robust. While his citation footprint remains emerging, his work represents a meaningful step in applied robotics education and prototyping, offering fellow students and engineers a concrete framework for exploring intelligent vehicle control systems in accessible, reproducible laboratory settings.
Research Focus
Key Achievements
Top Papers
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