Lucio Alcalde

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About

Lucio Alcalde is a leading researcher in the fields of simultaneous localization and mapping (SLAM) and construction robotics, with a particular focus on autonomous navigation in dynamic, unstructured environments. His most notable contribution is the creation of the ConSLAM data set, a groundbreaking resource for evaluating SLAM algorithms in real-world construction settings. This work, published in 2023 and already garnering 15 citations, provides essential ground-truth scans that enable researchers to benchmark mobile scanners and autonomous robots operating on active construction sites. By addressing the unique challenges of cluttered, evolving environments, Alcalde’s research bridges the gap between theoretical SLAM advancements and practical deployment in the built environment. His work is instrumental in advancing the reliability of autonomous systems for construction monitoring, safety inspection, and digital twin generation. Alcalde’s contributions are shaping the future of construction automation, offering a critical foundation for researchers and engineers developing robust navigation solutions for complex, real-world scenarios.