Pedro Furtado

Papers

Total Citations

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About

Pedro Furtado is a researcher whose work lies at the intersection of indoor positioning, navigation systems, and uncertainty management. His most-cited paper, "RobustPathFinder: Handling Uncertainty in Indoor Positioning Techniques" (2018), addresses a critical challenge in indoor navigation: the inability of GPS to function reliably inside buildings. Furtado’s major contribution is developing robust algorithms that mitigate positioning errors caused by signal noise, sensor drift, and environmental interference, enabling accurate real-time guidance for moving persons or robots. This work has practical implications for smart buildings, autonomous robots, and assistive technologies. With 3 citations, his research is foundational for those designing resilient indoor navigation systems. Furtado’s approach emphasizes practical, deployable solutions that bridge the gap between theoretical positioning models and real-world uncertainty. His achievements include advancing the robustness of indoor positioning, making him a key figure in this niche but impactful field. For students and researchers, Furtado’s work offers a clear example of how to tackle real-world sensor limitations with creative algorithmic design.