Alberto Dalla Libera

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 33

Top Topics

Gaussian Process

Mechanical Systems

Robotic Manipulator

Top Venues

IEEE Trans. Robotics

IEEE Robotics Autom. Lett.

Publications

Mohamed Abdelwahab, Giulio Giacomuzzo, Alberto Dalla Libera, Ruggero Carli
Adaptive Robust Controller for handling Unknown Uncertainty of Robotic Manipulators. CoRR (2024)
Alberto Sinigaglia, Niccolò Turcato, Alberto Dalla Libera, Ruggero Carli, Gian Antonio Susto
Exploiting Estimation Bias in Deep Double Q-Learning for Actor-Critic Methods. CoRR (2024)
Giulio Giacomuzzo, Riccardo Cescon, Diego Romeres, Ruggero Carli, Alberto Dalla Libera
Lagrangian inspired polynomial estimator for black-box learning and control of underactuated systems. L4DC (2024)
Niccolo' Turcato, Alberto Dalla Libera, Giulio Giacomuzzo, Ruggero Carli
Teaching a Robot to Toss Arbitrary Objects with Model-Based Reinforcement Learning. CoDIT (2023)
Enrico Picotti, Enrico Mion, Alberto Dalla Libera, Josip Pavlovic, Andrea Censi, Emilio Frazzoli, Alessandro Beghi, Mattia Bruschetta
A Learning-Based Nonlinear Model Predictive Controller for a Real Go-Kart Based on Black-Box Dynamics Modeling Through Gaussian Processes. IEEE Trans. Control. Syst. Technol. 31 (5) (2023)
Fabio Amadio, Alberto Dalla Libera, Daniel Nikovski, Ruggero Carli, Diego Romeres
Learning Control from Raw Position Measurements. CoRR (2023)
Fabio Amadio, Alberto Dalla Libera, Daniel Nikovski, Ruggero Carli, Diego Romeres
Learning Control from Raw Position Measurements. ACC (2023)
Giulio Giacomuzzo, Alberto Dalla Libera, Diego Romeres, Ruggero Carli
A Black-Box Physics-Informed Estimator based on Gaussian Process Regression for Robot Inverse Dynamics Identification. CoRR (2023)
Giulia Ballardini, Izadyar Tamadon, Daniele Guarnera, Hind Al-Haddad, Veronica Iacovacci, Francesco Mariottini, Simone Ricciardi, Alessio Cucini, Alberto Dalla Libera, Fabio Vistoli, Arianna Menciassi, Paolo Dario, Claudio Cobelli, Leonardo Ricotti
Controlling and powering a fully implantable artificial pancreas refillable by ingestible pills. EMBC (2023)
Enrico Picotti, Enrico Mion, Alberto Dalla Libera, Josip Pavlovic, Andrea Censi, Emilio Frazzoli, Alessandro Beghi, Mattia Bruschetta
A Learning-based Nonlinear Model Predictive Controller for a Real Go-Kart based on Black-box Dynamics Modeling through Gaussian Processes. CoRR (2023)
Alberto Dalla Libera, Giulio Giacomuzzo, Ruggero Carli, Daniel Nikovski, Diego Romeres
Forward Dynamics Estimation from Data-Driven Inverse Dynamics Learning. CoRR (2023)
Giulio Giacomuzzo, Niccolo' Turcato, Alberto Dalla Libera, Ruggero Carli
Advantages of a physics-embedding kernel for robot inverse dynamics identification. MED (2022)
Enrico Picotti, Alberto Dalla Libera, Ruggero Carli, Mattia Bruschetta
Continuous- Time Acceleration Modeling through Gaussian Processes for Learning-based Nonlinear Model Predictive Control. CCTA (2022)
Fabio Amadio, Alberto Dalla Libera, Riccardo Antonello, Daniel Nikovski, Ruggero Carli, Diego Romeres
Model-Based Policy Search Using Monte Carlo Gradient Estimation With Real Systems Application. IEEE Trans. Robotics 38 (6) (2022)
Alberto Dalla Libera, Gianluigi Pillonetto
Deep prediction networks. Neurocomputing 469 (2022)
Enrico Picotti, Alberto Dalla Libera, Ruggero Carli, Mattia Bruschetta
LbMATMPC: an open-source toolbox for Gaussian Process modeling within Learning-based Nonlinear Model Predictive Control. ECC (2022)
Fabio Amadio, Alberto Dalla Libera, Ruggero Carli, Daniel Nikovski, Diego Romeres
Model-based Policy Search for Partially Measurable Systems. CoRR (2021)
Alberto Dalla Libera, Ruggero Carli, Gianluigi Pillonetto
Kernel-based methods for Volterra series identification. Autom. 129 (2021)
Fabio Amadio, Alberto Dalla Libera, Riccardo Antonello, Daniel Nikovski, Ruggero Carli, Diego Romeres
Model-Based Policy Search Using Monte Carlo Gradient Estimation with Real Systems Application. CoRR (2021)
Alberto Dalla Libera, Nicola Castaman, Stefano Ghidoni, Ruggero Carli
Autonomous Learning of the Robot Kinematic Model. IEEE Trans. Robotics 37 (3) (2021)
Alberto Dalla Libera, Fabio Amadio, Daniel Nikovski, Ruggero Carli, Diego Romeres
Control of Mechanical Systems via Feedback Linearization Based on Black-Box Gaussian Process Models. ECC (2021)
Alberto Dalla Libera, Fabio Amadio, Daniel Nikovski, Ruggero Carli, Diego Romeres
Control of Mechanical Systems via Feedback Linearization Based on Black-Box Gaussian Process Models. CoRR (2021)
Alberto Dalla Libera, Ruggero Carli
A Data-Efficient Geometrically Inspired Polynomial Kernel for Robot Inverse Dynamic. IEEE Robotics Autom. Lett. 5 (1) (2020)
Alberto Dalla Libera, Diego Romeres, Devesh K. Jha, Bill Yerazunis, Daniel Nikovski
Model-Based Reinforcement Learning for Physical Systems Without Velocity and Acceleration Measurements. CoRR (2020)
Alberto Dalla Libera, Diego Romeres, Devesh K. Jha, Bill Yerazunis, Daniel Nikovski
Model-Based Reinforcement Learning for Physical Systems Without Velocity and Acceleration Measurements. IEEE Robotics Autom. Lett. 5 (2) (2020)
Diego Romeres, Devesh K. Jha, Alberto Dalla Libera, Bill Yerazunis, Daniel Nikovski
Semiparametrical Gaussian Processes Learning of Forward Dynamical Models for Navigating in a Circular Maze. ICRA (2019)
Alberto Dalla Libera, Ruggero Carli, Gianluigi Pillonetto
A novel Multiplicative Polynomial Kernel for Volterra series identification. CoRR (2019)
Alberto Dalla Libera, Matteo Terzi, Alessandro Rossi, Gian Antonio Susto, Ruggero Carli
Robot kinematic structure classification from time series of visual data. ECC (2019)
Alberto Dalla Libera, Ruggero Carli
A novel geometrically inspired polynomial kernel for robot inverse dynamics. CoRR (2019)
Alberto Dalla Libera, Elisa Tosello, Gianluigi Pillonetto, Stefano Ghidoni, Ruggero Carli
Proprioceptive Robot Collision Detection through Gaussian Process Regression. ACC (2019)
Alberto Dalla Libera, Elisa Tosello, Gianluigi Pillonetto, Stefano Ghidoni, Ruggero Carli
Proprioceptive Robot Collision Detection through Gaussian Process Regression. CoRR (2019)
Alberto Dalla Libera, Matteo Terzi, Alessandro Rossi, Gian Antonio Susto, Ruggero Carli
Robot kinematic structure classification from time series of visual data. CoRR (2019)
Diego Romeres, Devesh K. Jha, Alberto Dalla Libera, William Yerazunis, Daniel Nikovski
Semiparametrical Gaussian Processes Learning of Forward Dynamical Models for Navigating in a Circular Maze. CoRR (2018)