Marco Giberna

University of Luxembourg, University of Trieste

Papers

Total Citations

H-Index

About

Marco Giberna is a mobile robotics researcher whose work centers on enabling robots to navigate complex indoor and outdoor environments with greater autonomy and reliability. His primary research areas include Simultaneous Localization and Mapping (SLAM), terrain traversability analysis, and the integration of prior knowledge—such as architectural plans—into robotic perception systems. Giberna’s major contribution lies in developing tightly coupled SLAM frameworks that leverage imprecise architectural blueprints to improve localization accuracy in indoor settings, a novel approach that addresses the limitations of traditional SLAM algorithms in real-world, structured environments. Additionally, his work on applying machine learning to assess terrain traversability has advanced mobile robots’ ability to safely navigate uneven or hazardous outdoor terrains. Though early in his career, with each of his most-cited papers garnering 2 citations, Giberna’s research is already recognized for its practical relevance, bridging the gap between theoretical robotics and deployment in human-centric spaces. His achievements include pioneering methods that reduce reliance on expensive sensors by exploiting readily available environmental data, making his work particularly valuable for cost-effective robotic systems in logistics, search-and-rescue, and autonomous inspection.