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About

Bartolomeo Della Corte is a leading researcher in mobile robotics, with a primary focus on multi-sensor calibration, 3D mapping, and state estimation. His work addresses fundamental challenges in enabling robots to perceive and navigate their environments with high precision. Della Corte’s most significant contributions include pioneering a unified motion-based calibration framework for mobile multi-sensor platforms, which accounts for critical time delays and has garnered 38 citations. He also developed a novel approach for merging 3D maps represented as pose graphs, effectively correcting distortions common in SLAM-generated maps—a paper that stands as his most cited work with 51 citations. Further advancing the field, he introduced a formalism for the unified representation and registration of heterogeneous geometric primitives (20 citations), moving beyond traditional point cloud methods. His research is characterized by a systematic approach to solving complex estimation problems, from unsupervised kinematic calibration of wheeled robots to flexible multi-cue photometric point cloud registration. With a cumulative citation count exceeding 125, Della Corte’s work provides essential building blocks for robust, long-term autonomous robot operation in real-world environments.