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About

Federica Storiale is a robotics researcher whose work focuses on enhancing efficiency, flexibility, and safety in industrial automation, particularly within aerospace manufacturing. Her key research areas include robot-agnostic interaction control, kinematic redundancy optimization, and time-optimal trajectory planning for multi-robot systems. Storiale’s major contributions center on developing novel planning and control frameworks that enable heterogeneous robots to collaborate seamlessly, especially in hazardous environments or when handling fragile objects. Her 2022 paper on “Robot-Agnostic Interaction Controllers Based on ROS” (5 citations) introduces a modular control architecture that decouples hardware from software, significantly improving interoperability in robotized industrial cells. She has also advanced the state of the art in trajectory optimization for aerostructure assembly, proposing a two-stage time-optimal planning method (2023, 2 citations) that integrates redundancy resolution to achieve faster, more efficient robot motions along prescribed paths. Her 2021 work on kinematic redundancy in aeronautic assembly (2 citations) addresses the growing demand for high-quality, cost-effective production in aerospace. Storiale’s research has direct implications for Industry 4.0, promising to reduce cycle times and improve adaptability in complex manufacturing settings.