Arturo Gil

Papers

Total Citations

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About

Arturo Gil is a robotics researcher whose work centers on autonomous mobile robot navigation, with a particular focus on Simultaneous Localization and Mapping (SLAM) using computer vision techniques. His research addresses one of the fundamental challenges in robotics: enabling robots to navigate and build accurate representations of unknown environments without relying on artificial modifications or external infrastructure. Gil's most recognized contribution lies in his development of vision-based SLAM approaches that leverage stereo vision to construct three-dimensional maps from visual landmarks extracted in entirely unmodified, real-world environments. This work is significant because it moves autonomous navigation closer to practical deployment, where robots must operate in natural, unpredictable settings rather than controlled laboratory conditions. By combining stereo vision with probabilistic mapping frameworks, his research has helped advance the reliability and scalability of robot localization systems. With citations accumulated across his body of work, Gil has contributed meaningfully to the computer vision and mobile robotics communities. His research is particularly valuable for students and engineers working at the intersection of perception, mapping, and autonomous systems, offering foundational methodologies that continue to inform modern SLAM research and its applications in service robotics, autonomous vehicles, and exploration systems.