25th April 2023: New paper on distributed active learning for black-box systems published in IEEE Control Systems Letters, Paper link
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12th April 2023: Marco Forgione received a Grant from the Hasler foundation for the project QUACK - QUAntifying the unCertainty of dynamical neural networKs.
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20th February 2023: Loris Cannelli received a Grant from the Hasler foundation for the project Black-box optimization in multi-agent networks: towards a distributed learning approach. Congratulation Loris!
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05th December 2022: Marco Forgione and Dario Piga received funding for the Eureka Eurostars project HIRA - Hybrid InfraRed System for Affective Computing from Innosuisse.
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01st December 2022: Loris Cannelli received funding for the Horizon European project ACES - Autopoietic Cognitive Edge-cloud Services from the European Commission.
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15th October 2022: Filippo Pura received a prize from the Nizzola Foundation for the project Hybrid physical-based and data-driven modelling for the automated calibration of laser cutting parameters
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22nd August 2022: The paper Preference-Based Optimization of a Human-Robot Collaborative Controller by Loris Roveda, Marco Maccarini, Filippo Pura and Dario Piga will be presented at the SYROCO 2022 in Matsumoto, Japan.
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26th July 2022: Dario Piga received a Grant from the Hasler foundation for the project Learning from wise: a new machine learning paradigm to leverage model rationality.
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15th July 2022: The paper Multi-Objects Robotic Grasping Optimization Employing a 2D camera by Loris Roveda, Marco Maccarini, Filippo Pura, Asad Ali Shahid and Dario Piga will be presented at the ICECCME 2022 in Male, Maldives.
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30th June 2022: The paper Visual Servoing with Geometrically Interpretable Neural Perception by A. Paolillo, M. Nava, D. Piga and A. Giusti will be presented at the IROS 2022 in Kyoto
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29th June 2022: New paper on neural state-space system identification available on ArXiv: Paper link
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30th May 2022: Manas Mejari received a Grant from the Hasler foundation for the project INHALE: Interpretable Neural networks for Hybrid dynamicAL systEms. Congratulation Manas!
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25th May 2022: New paper on continuos-time identification of LPV systems published in Automatica, Paper link
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18th May 2022: The EU-MCSA VIRTUOUS project is presented at the AIDD Spring School - Advanced Machine Learning for Drug Discovery, read more
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15th November 2021: Loris Cannelli received a Grant from the Hasler foundation for the project PARTTIME: PARallel algoriThms for real-TIME magnetic resonance imaging reconstruction. Congratulation Loris!
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