Gastone Pietro Rosati Papini
Papers
4
Total Citations
66
H-Index
4
About
Gastone Pietro Rosati Papini is a leading researcher at the intersection of human-robot interaction, autonomous driving, and predictive control. His work focuses on enabling robots and autonomous vehicles to safely and intuitively share spaces with humans by predicting human motion and fostering emergent collaboration. A major contribution is the development of physics-inspired neural networks that generate efficient, real-time predictions of human motion—critical for safe robot navigation in crowded environments (28 citations). He has also pioneered a "mental simulation" approach for learning neural-network predictive control in self-driving cars, inspired by human cognitive processes (25 citations). Further, his research on biasing action selection demonstrates how artificial agents can produce emergent, cooperative human-robot interactions by leveraging shared contextual affordances (9 citations). Through these innovations, Rosati Papini is advancing the reliability and naturalness of autonomous systems, making them safer and more collaborative partners in dynamic, real-world settings.
Research Focus
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Top Papers
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