Alberto Dalla Libera
Alberto Dalla Libera
Research Fellow, University of Padova
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Cited by
Cited by
A novel multiplicative polynomial kernel for volterra series identification
A Dalla Libera, R Carli, G Pillonetto
IFAC-PapersOnLine 53 (2), 316-321, 2020
A data-efficient geometrically inspired polynomial kernel for robot inverse dynamic
A Dalla Libera, R Carli
IEEE Robotics and Automation Letters 5 (1), 24-31, 2019
Kernel-based methods for Volterra series identification
A Dalla Libera, R Carli, G Pillonetto
Automatica 129, 109686, 2021
Model-based policy search using monte carlo gradient estimation with real systems application
F Amadio, A Dalla Libera, R Antonello, D Nikovski, R Carli, D Romeres
IEEE Transactions on Robotics 38 (6), 3879-3898, 2022
Model-based reinforcement learning for physical systems without velocity and acceleration measurements
A Dalla Libera, D Romeres, DK Jha, B Yerazunis, D Nikovski
IEEE Robotics and Automation Letters 5 (2), 3548-3555, 2020
Proprioceptive robot collision detection through gaussian process regression
A Dalla Libera, E Tosello, G Pillonetto, S Ghidoni, R Carli
2019 American Control Conference (ACC), 19-24, 2019
LbMATMPC: an open-source toolbox for Gaussian Process modeling within Learning-based Nonlinear Model Predictive Control
E Picotti, A Dalla Libera, R Carli, M Bruschetta
2022 European Control Conference (ECC), 736-742, 2022
Autonomous learning of the robot kinematic model
A Dalla Libera, N Castaman, S Ghidoni, R Carli
IEEE Transactions on Robotics 37 (3), 877-892, 2020
Deep prediction networks
A Dalla Libera, G Pillonetto
Neurocomputing 469, 321-329, 2022
Control of mechanical systems via feedback linearization based on black-box gaussian process models
A Dalla Libera, F Amadio, D Nikovski, R Carli, D Romeres
2021 European Control Conference (ECC), 243-248, 2021
Continuous-time acceleration modeling through Gaussian processes for learning-based nonlinear model predictive control
E Picotti, A Dalla Libera, R Carli, M Bruschetta
2022 IEEE Conference on Control Technology and Applications (CCTA), 1228-1233, 2022
System and design of derivative-free model learning for robotic systems
D Romeres, A Dalla Libera, D Jha, DN Nikovski
US Patent 11,389,957, 2022
Kernel methods and gaussian processes for system identification and control: A road map on regularized kernel-based learning for control
A Carč, R Carli, A Dalla Libera, D Romeres, G Pillonetto
IEEE Control Systems Magazine 43 (5), 69-110, 2023
Learning control from raw position measurements
F Amadio, A Dalla Libera, D Nikovski, R Carli, D Romeres
2023 American Control Conference (ACC), 2171-2178, 2023
Advantages of a physics-embedding kernel for robot inverse dynamics identification
G Giacomuzzo, A Dalla Libera, R Carli
2022 30th Mediterranean Conference on Control and Automation (MED), 355-361, 2022
A Black-Box Physics-Informed Estimator based on Gaussian Process Regression for Robot Inverse Dynamics Identification
G Giacomuzzo, AD Libera, D Romeres, R Carli
arXiv preprint arXiv:2310.06585, 2023
A learning-based nonlinear model predictive controller for a real go-kart based on black-box dynamics modeling through gaussian processes
E Picotti, E Mion, A Dalla Libera, J Pavlovic, A Censi, E Frazzoli, A Beghi, ...
IEEE Transactions on Control Systems Technology, 2023
In silico design and validation of a time-varying PID controller for an artificial pancreas with intraperitoneal insulin delivery and glucose sensing
A Dalla Libera, C Toffanin, M Drecogna, A Galderisi, G Pillonetto, ...
APL bioengineering 7 (2), 2023
Robot kinematic structure classification from time series of visual data
A Dalla Libera, M Terzi, A Rossi, GA Susto, R Carli
2019 18th European Control Conference (ECC), 1586-1591, 2019
Distributed Kalman filtering for time-space Gaussian processes
M Todescato, A Dalla Libera, R Carli, G Pillonetto, L Schenato
IFAC-PapersOnLine 50 (1), 13234-13239, 2017
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