Alberto Dalla Libera

According to our database, Alberto Dalla Libera authored at least 27 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

A Black-Box Physics-Informed Estimator Based on Gaussian Process Regression for Robot Inverse Dynamics Identification.

Giulio Giacomuzzo, Ruggero Carli, Diego Romeres, Alberto Dalla Libera

IEEE Trans. Robotics, 2024

Learning control of underactuated double pendulum with Model-Based Reinforcement Learning.

Niccolò Turcato, Alberto Dalla Libera, Giulio Giacomuzzo, Ruggero Carli, Diego Romeres

CoRR, 2024

Exploiting Estimation Bias in Deep Double Q-Learning for Actor-Critic Methods.

Alberto Sinigaglia, Niccolò Turcato, Alberto Dalla Libera, Ruggero Carli, Gian Antonio Susto

CoRR, 2024

Lagrangian inspired polynomial estimator for black-box learning and control of underactuated systems.

Giulio Giacomuzzo, Riccardo Cescon, Diego Romeres, Ruggero Carli, Alberto Dalla Libera

Proceedings of the 6th Annual Learning for Dynamics & Control Conference, 2024

Reinforcement Learning for Athletic Intelligence: Lessons from the 1st "AI Olympics with RealAIGym" Competition.

Felix Wiebe, Niccolò Turcato, Alberto Dalla Libera, Chi Zhang, Théo Vincent, Shubham Vyas, Giulio Giacomuzzo, Ruggero Carli, Diego Romeres, Akhil Sathuluri, Markus Zimmermann, Boris Belousov, Jan Peters, Frank Kirchner, Shivesh Kumar

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Adaptive Robust Controller for handling Unknown Uncertainty of Robotic Manipulators.

Mohamed Abdelwahab, Giulio Giacomuzzo, Alberto Dalla Libera, Ruggero Carli

Proceedings of the 20th IEEE International Conference on Automation Science and Engineering, 2024

2023

A Learning-Based Nonlinear Model Predictive Controller for a Real Go-Kart Based on Black-Box Dynamics Modeling Through Gaussian Processes.

Enrico Picotti, Enrico Mion, Alberto Dalla Libera, Josip Pavlovic, Andrea Censi, Emilio Frazzoli, Alessandro Beghi, Mattia Bruschetta

IEEE Trans. Control. Syst. Technol., September, 2023

Forward Dynamics Estimation from Data-Driven Inverse Dynamics Learning.

Alberto Dalla Libera, Giulio Giacomuzzo, Ruggero Carli, Daniel Nikovski, Diego Romeres

CoRR, 2023

Controlling and powering a fully implantable artificial pancreas refillable by ingestible pills.

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

Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023

Teaching a Robot to Toss Arbitrary Objects with Model-Based Reinforcement Learning.

Niccolo' Turcato, Alberto Dalla Libera, Giulio Giacomuzzo, Ruggero Carli

Proceedings of the 9th International Conference on Control, 2023

Learning Control from Raw Position Measurements.

Fabio Amadio, Alberto Dalla Libera, Daniel Nikovski, Ruggero Carli, Diego Romeres

Proceedings of the American Control Conference, 2023

2022

Model-Based Policy Search Using Monte Carlo Gradient Estimation With Real Systems Application.

Fabio Amadio, Alberto Dalla Libera, Riccardo Antonello, Daniel Nikovski, Ruggero Carli, Diego Romeres

IEEE Trans. Robotics, 2022

Deep prediction networks.

Alberto Dalla Libera, Gianluigi Pillonetto

Neurocomputing, 2022

Advantages of a physics-embedding kernel for robot inverse dynamics identification.

Giulio Giacomuzzo, Niccolo' Turcato, Alberto Dalla Libera, Ruggero Carli

Proceedings of the 30th Mediterranean Conference on Control and Automation, 2022

LbMATMPC: an open-source toolbox for Gaussian Process modeling within Learning-based Nonlinear Model Predictive Control.

Enrico Picotti, Alberto Dalla Libera, Ruggero Carli, Mattia Bruschetta

Proceedings of the European Control Conference, 2022

Continuous- Time Acceleration Modeling through Gaussian Processes for Learning-based Nonlinear Model Predictive Control.

Enrico Picotti, Alberto Dalla Libera, Ruggero Carli, Mattia Bruschetta

Proceedings of the IEEE Conference on Control Technology and Applications, 2022

2021

Autonomous Learning of the Robot Kinematic Model.

Alberto Dalla Libera, Nicola Castaman, Stefano Ghidoni, Ruggero Carli

IEEE Trans. Robotics, 2021

Model-based Policy Search for Partially Measurable Systems.

Fabio Amadio, Alberto Dalla Libera, Ruggero Carli, Daniel Nikovski, Diego Romeres

CoRR, 2021

Kernel-based methods for Volterra series identification.

Alberto Dalla Libera, Ruggero Carli, Gianluigi Pillonetto

Autom., 2021

Control of Mechanical Systems via Feedback Linearization Based on Black-Box Gaussian Process Models.

Alberto Dalla Libera, Fabio Amadio, Daniel Nikovski, Ruggero Carli, Diego Romeres

Proceedings of the 2021 European Control Conference, 2021

2020

Model-Based Reinforcement Learning for Physical Systems Without Velocity and Acceleration Measurements.

Alberto Dalla Libera, Diego Romeres, Devesh K. Jha, Bill Yerazunis, Daniel Nikovski

IEEE Robotics Autom. Lett., 2020

A Data-Efficient Geometrically Inspired Polynomial Kernel for Robot Inverse Dynamic.

Alberto Dalla Libera, Ruggero Carli

IEEE Robotics Autom. Lett., 2020

2019

A novel Multiplicative Polynomial Kernel for Volterra series identification.

Alberto Dalla Libera, Ruggero Carli, Gianluigi Pillonetto

CoRR, 2019

A novel geometrically inspired polynomial kernel for robot inverse dynamics.

Alberto Dalla Libera, Ruggero Carli

CoRR, 2019

Semiparametrical Gaussian Processes Learning of Forward Dynamical Models for Navigating in a Circular Maze.

Diego Romeres, Devesh K. Jha, Alberto Dalla Libera, Bill Yerazunis, Daniel Nikovski

Proceedings of the International Conference on Robotics and Automation, 2019

Robot kinematic structure classification from time series of visual data.

Alberto Dalla Libera, Matteo Terzi, Alessandro Rossi, Gian Antonio Susto, Ruggero Carli

Proceedings of the 17th European Control Conference, 2019

Proprioceptive Robot Collision Detection through Gaussian Process Regression.

Alberto Dalla Libera, Elisa Tosello, Gianluigi Pillonetto, Stefano Ghidoni, Ruggero Carli

Proceedings of the 2019 American Control Conference, 2019