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About

Domenico G. Sorrenti is an Italian robotics researcher whose work spans autonomous robot localization, visual perception, benchmarking methodologies, and sensor fusion — fields that sit at the heart of modern mobile robotics and autonomous systems. He is perhaps best known for his leadership of the Rawseeds project, which produced widely adopted ground truth collection systems and benchmarking toolkits for indoor self-localization and mapping, earning over 170 combined citations and representing a foundational contribution to reproducible robotics research. His early work on omnidirectional catadioptric vision, including innovative multi-part mirror designs for soccer robots, helped advance perception capabilities for autonomous agents competing in RoboCup, reflected in his contributions to Robot Soccer World Cup X. More recently, Sorrenti has pushed into the frontier of cross-modal localization, developing methods that bridge 2D camera imagery with 3D LiDAR maps through shared embedding spaces and camera-agnostic deep learning frameworks like CMRNet++. His creation of the GTASynth synthetic dataset further demonstrates his commitment to enabling data-hungry machine learning research in underrepresented outdoor environments. Across more than two decades, Sorrenti's work has consistently provided the robotics community with practical tools, novel algorithms, and rigorous evaluation infrastructure that continue to shape the field.