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Pages
Biography
About me
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Posts
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portfolio
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publications
UDOO-Based Environmental Monitoring System
Published in In the proceedings of Applications in Electronics Pervading Industry, Environment and Society, 2017
Use Google Scholar for full citation
Recommended citation: Giulio Borrello, Erica Salvato, Giovanni Gugliandolo, Zlatica Marinkovic, Nicola Donato, "UDOO-Based Environmental Monitoring System." In the proceedings of Applications in Electronics Pervading Industry, Environment and Society, 2017.
Model Predictive Control of glucose concentration based on Signal Temporal Logic specifications
Published in In the proceedings of 2019 6th International Conference on Control, Decision and Information Technologies, 2019
Recommended citation: Francesca Cairoli, Gianfranco Fenu, Felice Pellegrino, Erica Salvato, "Model Predictive Control of glucose concentration based on Signal Temporal Logic specifications." In the proceedings of 2019 6th International Conference on Control, Decision and Information Technologies, 2019. https://ieeexplore.ieee.org/document/8820492
Toward the Application of Reinforcement Learning to the Intensity Control of a Seeded Free-Electron Laser
Published in In the proceedings of 2019 23rd International Conference on Mechatronics Technology, ICMT 2019, 2019
Recommended citation: Nicky Bruchon, Gianfranco Fenu, Giulio Gaio, Marco Lonza, Felice Pellegrino, Erica Salvato, "Toward the Application of Reinforcement Learning to the Intensity Control of a Seeded Free-Electron Laser." In the proceedings of 2019 23rd International Conference on Mechatronics Technology, ICMT 2019, 2019. https://ieeexplore.ieee.org/document/8932150
Basic reinforcement learning techniques to control the intensity of a seeded free-electron laser
Published in ELECTRONICS, 2020
Recommended citation: Nicky Bruchon, Gianfranco Fenu, Giulio Gaio, Marco Lonza, Fin O'shea, Felice Pellegrino, Erica Salvato, "Basic reinforcement learning techniques to control the intensity of a seeded free-electron laser." ELECTRONICS, 2020. https://www.mdpi.com/2079-9292/9/5/781
Loads estimation using deep learning techniques in consumer washing machines
Published in In the proceedings of ICPRAM 2020 - Proceedings of the 9th International Conference on Pattern Recognition Applications and Methods, 2020
Recommended citation: Alexander Babichev, Vittorio Casagrande, Luca Della, Gianfranco Fenu, Imola Fodor, Enrico Marson, Felice Pellegrino, Gilberto Pin, Erica Salvato, Michele Toppano, Davide Zorzenon, "Loads estimation using deep learning techniques in consumer washing machines." In the proceedings of ICPRAM 2020 - Proceedings of the 9th International Conference on Pattern Recognition Applications and Methods, 2020. https://www.scitepress.org/Link.aspx?doi=10.5220%2f0008935104250432
Model Predictive Control of Glucose Concentration Based on Signal Temporal Logic Specifications with Unknown-Meals Occurrence
Published in CYBERNETICS AND SYSTEMS, 2020
Recommended citation: Francesca Cairoli, Gianfranco Fenu, Felice Pellegrino, Erica Salvato, "Model Predictive Control of Glucose Concentration Based on Signal Temporal Logic Specifications with Unknown-Meals Occurrence." CYBERNETICS AND SYSTEMS, 2020. https://www.tandfonline.com/doi/full/10.1080/01969722.2020.1758463
An Online Iterative Linear Quadratic Approach for a Satisfactory Working Point Attainment at FERMI
Published in INFORMATION, 2021
Recommended citation: Niky Bruchon, Gianfranco Fenu, Giulio Gaio, Simon Hirlander, Marco Lonza, Felice Pellegrino, Erica Salvato, "An Online Iterative Linear Quadratic Approach for a Satisfactory Working Point Attainment at FERMI." INFORMATION, 2021. https://www.mdpi.com/2078-2489/12/7/262
Characterization of Modeling Errors Affecting Performances of a Robotics Deep Reinforcement Learning Controller in a Sim-to-Real Transfer
Published in In the proceedings of 2021 44th International Convention on Information, Communication and Electronic Technology (MIPRO), 2021
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Recommended citation: Erica Salvato, Gianfranco Fenu, Eric Medvet, Felice Pellegrino, "Characterization of Modeling Errors Affecting Performances of a Robotics Deep Reinforcement Learning Controller in a Sim-to-Real Transfer." In the proceedings of 2021 44th International Convention on Information, Communication and Electronic Technology (MIPRO), 2021.
Control of a Mixed Autonomy Signalised Urban Intersection: An Action-Delayed Reinforcement Learning Approach
Published in In the proceedings of 2021 IEEE International Intelligent Transportation Systems Conference (ITSC), 2021
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Recommended citation: Erica Salvato, Arnob Ghosh, Gianfranco Fenu, Thomas Parisini, "Control of a Mixed Autonomy Signalised Urban Intersection: An Action-Delayed Reinforcement Learning Approach." In the proceedings of 2021 IEEE International Intelligent Transportation Systems Conference (ITSC), 2021.
Crossing the Reality Gap: a Survey on Sim-to-Real Transferability of Robot Controllers in Reinforcement Learning
Published in IEEE Access, 2021
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Recommended citation: Erica Salvato, Gianfranco Fenu, Eric Medvet, Felice Pellegrino, "Crossing the Reality Gap: a Survey on Sim-to-Real Transferability of Robot Controllers in Reinforcement Learning." IEEE Access, 2021.
Machine learning for computationally efficient electrical loads estimation in consumer washing machines
Published in NEURAL COMPUTING & APPLICATIONS, 2021
Recommended citation: Vittorio Casagrande, Gianfranco Fenu, Felice Pellegrino, Gilberto Pin, Erica Salvato, Davide Zorzenon, "Machine learning for computationally efficient electrical loads estimation in consumer washing machines." NEURAL COMPUTING & APPLICATIONS, 2021. https://link.springer.com/article/10.1007/s00521-021-06138-9
Closed-loop Control from Data-Driven Open-Loop Optimal Control Trajectories
Published in In the proceedings of 2022 European Control Conference (ECC), 2022
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Recommended citation: Felice Pellegrino, Franco Blanchini, Gianfranco Fenu, Erica Salvato, "Closed-loop Control from Data-Driven Open-Loop Optimal Control Trajectories." In the proceedings of 2022 European Control Conference (ECC), 2022.
Event-Triggered Action-Delayed Reinforcement Learning Control of a Mixed Autonomy Signalised Urban Intersection
Published in In the proceedings of 2022 American Control Conference (ACC), 2022
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Recommended citation: Erica Salvato, Arnob Ghosh, Gianfranco Fenu, Thomas Parisini, "Event-Triggered Action-Delayed Reinforcement Learning Control of a Mixed Autonomy Signalised Urban Intersection." In the proceedings of 2022 American Control Conference (ACC), 2022.
Singularity Avoidance for Cart-Mounted Hand-Guided Collaborative Robots: A Variational Approach
Published in Robotics, 2022
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Recommended citation: Erica Salvato, Walter Vanzella, Gianfranco Fenu, Felice Pellegrino, "Singularity Avoidance for Cart-Mounted Hand-Guided Collaborative Robots: A Variational Approach." Robotics, 2022.
Data-driven dynamic relatively optimal control
Published in European Journal of Control, 2023
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Recommended citation: Felice Pellegrino, Franco Blanchini, Gianfranco Fenu, Erica Salvato, "Data-driven dynamic relatively optimal control." European Journal of Control, 2023.
Evolutionary Machine Learning in Robotics
Published in Handbook of Evolutionary Machine Learning, 2023
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Recommended citation: Eric Medvet, Giorgia Nadizar, Federico Pigozzi, Erica Salvato, "Evolutionary Machine Learning in Robotics." Handbook of Evolutionary Machine Learning, 2023.
Model-free cable robot control
Published in In the proceedings of IFAC-PapersOnLine, 2023
22nd IFAC World Congress
Recommended citation: Franco Blanchini, Luca Schiava, Gianfranco Fenu, Giulia Giordano, Felice Pellegrino, Erica Salvato, "Model-free cable robot control." In the proceedings of IFAC-PapersOnLine, 2023. https://www.sciencedirect.com/science/article/pii/S2405896323020347
Model-free feedback control synthesis from expert demonstration
Published in IEEE Control Systems Letters, 2023
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Recommended citation: Franco Blanchini, Fabrizio Dabbene, Gianfranco Fenu, Felice Pellegrino, Erica Salvato, "Model-free feedback control synthesis from expert demonstration." IEEE Control Systems Letters, 2023.
talks
Model Predictive Control of Glucose Concentraion Based on Signal-Temporal Logic Specifications
Published:
I presented the paper “Model Predictive Control of Glucose Concentraion Based on Signal-Temporal Logic Specifications” on CODIT’19
Model Predictive Control of Glucose Concentration Based on Signal Temporal Logic Specifications with Unknown-Meals Occurrence
Published:
I have been invited by Prof. Luca Bortolussi to present the paper “Model Predictive Control of Glucose Concentration Based on Signal Temporal Logic Specifications with Unknown-Meals Occurrence”, an extended research of the one presented for CODIT’19, at the Department of Mathematics and Geosciences of the University of Trieste.
Crossing the Reality Gap: the Sim-to-Real Transferability of Robot Controllers in Reinforcement Learning Problems
Published:
I was invited to present a research topic I focused on during my PhD in an integrative lecture of the Machine Learning course held by Prof. Eric Medvet at the Master of Science in Data Science of the University of Trieste.
Control of a Mixed Autonomy Signalised Urban Intersection: An Action-Delayed Reinforcement Learning Approach
Published:
I presented the paper “Control of a Mixed Autonomy Signalised Urban Intersection: An Action-Delayed Reinforcement Learning Approach” on AUTOMATICA 2021
Characterization of Modeling Errors Affecting Performances of a Robotics Deep Reinforcement Learning Controller in a Sim-to-Real Transfer
Published:
I presented the paper “Characterization of Modeling Errors Affecting Performances of a Robotics Deep Reinforcement Learning Controller in a Sim-to-Real Transfer” on MIPRO 2021
Closed-loop Control from Data-Driven Open-Loop Optimal Control Trajectories
Published:
I presented the paper “Closed-loop Control from Data-Driven Open-Loop Optimal Control Trajectories” on ECC 2022
Data-driven Dynamic Relatively Optimal Control
Published:
I presented the paper “Data-driven Dynamic Relatively Optimal Control” on AUTOMATICA.it 2022
Reinforcement Learning on Real-World Dynamical Systems
Published:
I was invited to present my PhD thesis to the students of the Master’s course in Data Science and Scientific Computing at the Department of Mathematics and Geosciences (University of Trieste), hosted by Prof. Luca Bortolussi.
teaching
Teaching experience 1
Undergraduate course, University 1, Department, 2014
This is a description of a teaching experience. You can use markdown like any other post.
Teaching experience 2
Workshop, University 1, Department, 2015
This is a description of a teaching experience. You can use markdown like any other post.