Yasmin Fathy

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About

Yasmin Fathy is a leading researcher in construction robotics and autonomous systems, with a primary focus on simultaneous localization and mapping (SLAM) for dynamic, unstructured environments. Her most impactful work, "ConSLAM: Construction Data Set for SLAM" (2023), has already garnered 15 citations, establishing a critical benchmark for evaluating SLAM algorithms used by mobile scanners and autonomous robots on active construction sites. By providing ground-truth scans collected periodically in real-world construction settings, Fathy addresses a fundamental gap in robotics research—the lack of representative datasets for cluttered, evolving environments. This contribution enables more robust navigation and mapping for construction automation, directly supporting the development of safer and more efficient building processes. Her work bridges the gap between theoretical SLAM advances and practical deployment in challenging industrial contexts. Fathy's research is essential for students and engineers working on autonomous navigation, construction digitization, and field robotics, offering both a validated dataset and a methodological framework for benchmarking in non-static environments.