Aitor Saenz‐Aguirre

Papers

Total Citations

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About

Aitor Saenz-Aguirre is a robotics researcher whose work focuses on advancing autonomous navigation and intelligent control systems. His most impactful contributions lie in developing algorithms that enable mobile robots to navigate complex, dynamic environments with greater efficiency and adaptability. His 2019 paper on the "Predictive Dynamic Window Approach" (44 citations) introduced a novel method that uses a fuzzy inference system to adapt a robot's movement parameters in real time, significantly improving its ability to avoid obstacles and plan paths. Building on this, his 2020 work on "Semantic Segmentation for Indoor Navigation" (43 citations) employed a residual neural network to allow a mobile robot to understand and navigate indoor spaces by classifying every pixel in its visual field. This work bridges the gap between computer vision and practical robotics. Beyond navigation, Saenz-Aguirre has also explored intelligent control for assistive technology, modeling a motorized orthosis to improve movement for users with neuromuscular conditions. His research demonstrates a clear trajectory from foundational algorithm development to applied, human-centered robotics, establishing him as a contributor to the next generation of autonomous systems.