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Erica Salvato
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Crossing the reality gap: A survey on sim-to-real transferability of robot controllers in reinforcement learning
E Salvato, G Fenu, E Medvet, FA Pellegrino
IEEE Access 9, 153171-153187, 2021
1022021
Basic reinforcement learning techniques to control the intensity of a seeded free-electron laser
N Bruchon, G Fenu, G Gaio, M Lonza, FH O’Shea, FA Pellegrino, ...
Electronics 9 (5), 781, 2020
412020
Toward the application of reinforcement learning to the intensity control of a seeded free-electron laser
N Bruchon, G Fenu, G Gaio, M Lonza, FA Pellegrino, E Salvato
2019 23rd International Conference on Mechatronics Technology (ICMT), 1-6, 2019
122019
Udoo-based environmental monitoring system
G Borrello, E Salvato, G Gugliandolo, Z Marinkovic, N Donato
Applications in Electronics Pervading Industry, Environment and Society …, 2017
92017
Model predictive control of glucose concentration based on signal temporal logic specifications
F Cairoli, G Fenu, FA Pellegrino, E Salvato
2019 6th International Conference on Control, Decision and Information …, 2019
72019
Closed-loop control from data-driven open-loop optimal control trajectories
FA Pellegrino, F Blanchini, G Fenu, E Salvato
2022 European Control Conference (ECC), 1379-1384, 2022
52022
Machine learning for computationally efficient electrical loads estimation in consumer washing machines
V Casagrande, G Fenu, FA Pellegrino, G Pin, E Salvato, D Zorzenon
Neural Computing and Applications 33 (22), 15159-15170, 2021
52021
Model predictive control of glucose concentration based on signal temporal logic specifications with unknown-meals occurrence
F Cairoli, G Fenu, FA Pellegrino, E Salvato
Cybernetics and Systems 51 (4), 426-441, 2020
52020
Singularity avoidance for cart-mounted hand-guided collaborative robots: A variational approach
E Salvato, W Vanzella, G Fenu, FA Pellegrino
Robotics 11 (4), 79, 2022
42022
Characterization of modeling errors affecting performances of a robotics deep reinforcement learning controller in a sim-to-real transfer
E Salvato, G Fenu, E Medvet, FA Pellegrino
2021 44th International Convention on Information, Communication and …, 2021
42021
Data-driven dynamic relatively optimal control
FA Pellegrino, F Blanchini, G Fenu, E Salvato
European Journal of Control 74, 100839, 2023
32023
An Online Iterative Linear Quadratic Approach for a Satisfactory Working Point Attainment at FERMI
N Bruchon, G Fenu, G Gaio, S Hirlander, M Lonza, FA Pellegrino, ...
Information 12 (7), 262, 2021
32021
Free-electron laser optimization with reinforcement learning
N Bruchon, G Fenu, G Gaio, M Lonza, FA Pellegrino, E Salvato
17th Int. Conf. on Acc. and Large Exp. Physics Control Systems, ICALEPCS2019, 2019
32019
Model-free feedback control synthesis from expert demonstration
F Blanchini, F Dabbene, G Fenu, FA Pellegrino, E Salvato
IEEE Control Systems Letters, 2023
22023
Control of a mixed autonomy signalised urban intersection: An action-delayed reinforcement learning approach
E Salvato, A Ghosh, G Fenu, T Parisini
2021 IEEE International Intelligent Transportation Systems Conference (ITSC …, 2021
22021
Loads estimation using deep learning techniques in consumer washing machines
A Babichev, V Casagrande, L Della Schiava, G Fenu, I Fodor, E Marson, ...
ICPRAM 2020-Proceedings of the 9th International Conference on Pattern …, 2020
12020
Linear Systems With Uncertain Complex Coefficients for AC Sensitivity Analysis
D De Cecco, F Blanchini, D Casagrande, G Giordano, E Salvato
IEEE Transactions on Circuits and Systems II: Express Briefs, 2024
2024
Evolutionary Machine Learning in Robotics
E Medvet, G Nadizar, F Pigozzi, E Salvato
Handbook of Evolutionary Machine Learning, 657-694, 2023
2023
Model-free cable robot control
F Blanchini, L Della Schiava, G Fenu, G Giordano, FA Pellegrino, ...
IFAC-PapersOnLine 56 (2), 550-555, 2023
2023
Event-Triggered Action-Delayed Reinforcement Learning Control of a Mixed Autonomy Signalised Urban Intersection
E Salvato, A Ghosh, G Fenu, T Parisini
2022 American Control Conference (ACC), 3285-3290, 2022
2022
Il sistema al momento non può eseguire l'operazione. Riprova più tardi.
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