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Monitoring weeder robots and anticipating their functioning by using advanced topological data analysis
The present paper aims at analyzing the topological content of the complex trajectories that weeder-autonomous robots follow in operation.
Learning stable reduced-order models for hybrid twins
The concept of Hybrid Twin (HT) has recently received a growing interest thanks to the availability of powerful machine learning techniques.
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