Andrea Albarelli

Papers

Total Citations

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About

Andrea Albarelli’s research sits at the intersection of 3D geometric modeling and applied artificial intelligence, with a particular focus on extracting meaningful structures from unstructured point cloud data. His most significant contributions center on robust cylinder estimation, where he has pioneered novel approaches that reframe the problem as a clustering task. In his highly cited 2020 work, “Cylinders extraction in non-oriented point clouds as a clustering problem” (23 citations), Albarelli introduced a method that efficiently identifies cylindrical shapes in complex, noisy environments—a critical capability for applications ranging from robot manipulation to automated industrial inspection and reverse engineering. His follow-up 2019 paper, “Robust Cylinder Estimation in Point Clouds from Pairwise Axes Similarities” (10 citations), further refined this approach by leveraging pairwise axis comparisons to enhance accuracy and resilience. Demonstrating his versatility, Albarelli also ventured into applied AI with the 2019 paper “Design and implementation of an airport chatbot” (21 citations), which explored natural language understanding for customer service automation in the era of digitalization. This work showcases his ability to bridge theoretical computer vision with real-world, user-facing technologies. With over 50 combined citations across these key papers, Albarelli’s research continues to influence both academic computer vision and practical engineering solutions.