Moises Rivas

Papers

Total Citations

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About

Moises Rivas is a researcher whose work bridges robotics, structural health monitoring (SHM), and spatial data acquisition. His most-cited paper, "Spatial data acquisition by laser scanning for robot or SHM task" (2008, 39 citations), introduces a laser triangulation technique that enables efficient environmental mapping. By combining a simple light source with an innovative scanning unit, Rivas developed a prototype capable of detecting obstacles and objects in unknown environments—a foundational contribution to autonomous navigation and infrastructure inspection. This work demonstrates his talent for creating cost-effective, practical solutions for real-world sensing challenges. Rivas’s research impacts fields ranging from mobile robotics to civil engineering, where precise spatial data is critical. His approach emphasizes simplicity and efficiency, making advanced scanning accessible for diverse applications. With 39 citations, this paper remains a touchstone for researchers exploring low-cost laser-based perception systems. Rivas’s contributions continue to inspire new methods in robotic perception and structural monitoring, highlighting his role in advancing how machines interpret and interact with their surroundings.