S. Pellegrini

Sapienza University of Rome, Carnegie Mellon University

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About

S. Pellegrini is a robotics researcher whose work bridges perception, mapping, and locomotion in challenging environments. Their key research areas include mobile robotics, semantic mapping, and bio-inspired locomotion, with a particular focus on integrating contextual information to enhance robotic autonomy. Pellegrini’s major contribution lies in developing methods for building 3D maps that incorporate semantic elements by fusing data from 2D laser scanners, stereo vision, and inertial navigation systems (INS) on mobile robots. This work, published in 2007 and cited 20 times, laid groundwork for robots to understand not just geometry but the meaning of their surroundings. Pellegrini also advanced the theoretical understanding of contextualization in robotics, analyzing how contextual knowledge can improve robot behavior and perception flexibility. More recently, Pellegrini has pioneered novel gaits for snake robots navigating complex external pipe networks, addressing obstacles like valves and T-junctions—a 2025 paper already attracting attention. This work demonstrates a shift from indoor mapping to extreme-environment locomotion, showcasing Pellegrini’s adaptability and sustained innovation in robotics over nearly two decades.