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ORCIDAlberto Dalla Libera
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2020 – today
- 2024
[j8]Giulio Giacomuzzo, Ruggero Carli, Diego Romeres, Alberto Dalla Libera:
A Black-Box Physics-Informed Estimator Based on Gaussian Process Regression for Robot Inverse Dynamics Identification. IEEE Trans. Robotics 40: 4842-4858 (2024)- [c13]Mohamed Abdelwahab, Giulio Giacomuzzo, Alberto Dalla Libera, Ruggero Carli:
Adaptive Robust Controller for handling Unknown Uncertainty of Robotic Manipulators. CASE 2024: 2992-2997 - [c12]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:
Reinforcement Learning for Athletic Intelligence: Lessons from the 1st "AI Olympics with RealAIGym" Competition. IJCAI 2024: 8833-8837 - [c11]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: 1292-1304 - [i16]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 abs/2402.09078 (2024) - [i15]Mohamed Abdelwahab, Giulio Giacomuzzo, Alberto Dalla Libera, Ruggero Carli:
Adaptive Robust Controller for handling Unknown Uncertainty of Robotic Manipulators. CoRR abs/2406.14338 (2024) - [i14]Niccolò Turcato, Alberto Dalla Libera, Giulio Giacomuzzo, Ruggero Carli, Diego Romeres:
Learning control of underactuated double pendulum with Model-Based Reinforcement Learning. CoRR abs/2409.05811 (2024) - 2023
- [j7]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): 2055-2065 (2023) - [c10]Fabio Amadio, Alberto Dalla Libera, Daniel Nikovski, Ruggero Carli, Diego Romeres:
Learning Control from Raw Position Measurements. ACC 2023: 2171-2178 - [c9]Niccolo' Turcato, Alberto Dalla Libera, Giulio Giacomuzzo, Ruggero Carli:
Teaching a Robot to Toss Arbitrary Objects with Model-Based Reinforcement Learning. CoDIT 2023: 1126-1131 - [c8]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: 1-7 - [i13]Fabio Amadio, Alberto Dalla Libera, Daniel Nikovski, Ruggero Carli, Diego Romeres:
Learning Control from Raw Position Measurements. CoRR abs/2301.13183 (2023) - [i12]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 abs/2305.17949 (2023) - [i11]Alberto Dalla Libera, Giulio Giacomuzzo, Ruggero Carli, Daniel Nikovski, Diego Romeres:
Forward Dynamics Estimation from Data-Driven Inverse Dynamics Learning. CoRR abs/2307.05093 (2023) - [i10]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 abs/2310.06585 (2023) - 2022
- [j6]Alberto Dalla Libera, Gianluigi Pillonetto:
Deep prediction networks. Neurocomputing 469: 321-329 (2022) - [j5]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): 3879-3898 (2022) - [c7]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: 1228-1233 - [c6]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: 736-742 - [c5]Giulio Giacomuzzo, Niccolo' Turcato, Alberto Dalla Libera, Ruggero Carli:
Advantages of a physics-embedding kernel for robot inverse dynamics identification. MED 2022: 355-361 - 2021
- [j4]Alberto Dalla Libera, Ruggero Carli, Gianluigi Pillonetto:
Kernel-based methods for Volterra series identification. Autom. 129: 109686 (2021) - [j3]Alberto Dalla Libera, Nicola Castaman, Stefano Ghidoni, Ruggero Carli:
Autonomous Learning of the Robot Kinematic Model. IEEE Trans. Robotics 37(3): 877-892 (2021) - [c4]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: 243-248 - [i9]Fabio Amadio, Alberto Dalla Libera, Ruggero Carli, Daniel Nikovski, Diego Romeres:
Model-based Policy Search for Partially Measurable Systems. CoRR abs/2101.08740 (2021) - [i8]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 abs/2101.12115 (2021) - [i7]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 abs/2104.12854 (2021) - 2020
- [j2]Alberto Dalla Libera, Ruggero Carli:
A Data-Efficient Geometrically Inspired Polynomial Kernel for Robot Inverse Dynamic. IEEE Robotics Autom. Lett. 5(1): 24-31 (2020) - [j1]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): 3548-3555 (2020) - [i6]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 abs/2002.10621 (2020)
2010 – 2019
- 2019
- [c3]Alberto Dalla Libera, Elisa Tosello, Gianluigi Pillonetto, Stefano Ghidoni, Ruggero Carli:
Proprioceptive Robot Collision Detection through Gaussian Process Regression. ACC 2019: 19-24 - [c2]Alberto Dalla Libera, Matteo Terzi, Alessandro Rossi, Gian Antonio Susto, Ruggero Carli:
Robot kinematic structure classification from time series of visual data. ECC 2019: 1586-1591 - [c1]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: 3195-3202 - [i5]Alberto Dalla Libera, Matteo Terzi, Alessandro Rossi, Gian Antonio Susto, Ruggero Carli:
Robot kinematic structure classification from time series of visual data. CoRR abs/1903.04410 (2019) - [i4]Alberto Dalla Libera, Ruggero Carli:
A novel geometrically inspired polynomial kernel for robot inverse dynamics. CoRR abs/1904.13317 (2019) - [i3]Alberto Dalla Libera, Ruggero Carli, Gianluigi Pillonetto:
A novel Multiplicative Polynomial Kernel for Volterra series identification. CoRR abs/1905.07960 (2019) - [i2]Alberto Dalla Libera, Elisa Tosello, Gianluigi Pillonetto, Stefano Ghidoni, Ruggero Carli:
Proprioceptive Robot Collision Detection through Gaussian Process Regression. CoRR abs/1905.08689 (2019) - 2018
- [i1]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 abs/1809.04993 (2018)
Coauthor Index
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