Proprioceptive Robot Collision Detection through Gaussian Process Regression. - Alberto Dalla Libera; Elisa Tosello; Gianluigi Pillonetto; Stefano Ghidoni; Ruggero Carli (ACC, 2019)

Robot kinematic structure classification from time series of visual data. - Alberto Dalla Libera; Matteo Terzi; Alessandro Rossi 004; Gian Antonio Susto; Ruggero Carli (ECC, 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 (ICRA, 2019)

A novel geometrically inspired polynomial kernel for robot inverse dynamics. - Alberto Dalla Libera; Ruggero Carli (CoRR, 2019)

A novel Multiplicative Polynomial Kernel for Volterra series identification. - Alberto Dalla Libera; Ruggero Carli; Gianluigi Pillonetto (CoRR, 2019)

A Data-Efficient Geometrically Inspired Polynomial Kernel for Robot Inverse Dynamic. - Alberto Dalla Libera; Ruggero Carli (IEEE Robotics Autom. Lett., 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)

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 (ECC, 2021)

Kernel-based methods for Volterra series identification. - Alberto Dalla Libera; Ruggero Carli; Gianluigi Pillonetto (Autom., 2021)

Model-based Policy Search for Partially Measurable Systems. - Fabio Amadio; Alberto Dalla Libera; Ruggero Carli; Daniel Nikovski; Diego Romeres (CoRR, 2021)

Autonomous Learning of the Robot Kinematic Model. - Alberto Dalla Libera; Nicola Castaman; Stefano Ghidoni; Ruggero Carli (IEEE Trans. Robotics, 2021)

Continuous- Time Acceleration Modeling through Gaussian Processes for Learning-based Nonlinear Model Predictive Control. - Enrico Picotti; Alberto Dalla Libera; Ruggero Carli; Mattia Bruschetta (CCTA, 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 (ECC, 2022)

Advantages of a physics-embedding kernel for robot inverse dynamics identification. - Giulio Giacomuzzo; Niccolo' Turcato; Alberto Dalla Libera; Ruggero Carli (MED, 2022)

Deep prediction networks. - Alberto Dalla Libera; Gianluigi Pillonetto (Neurocomputing, 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)

Learning Control from Raw Position Measurements. - Fabio Amadio; Alberto Dalla Libera; Daniel Nikovski; Ruggero Carli; Diego Romeres (ACC, 2023)

Teaching a Robot to Toss Arbitrary Objects with Model-Based Reinforcement Learning. - Niccolo' Turcato; Alberto Dalla Libera; Giulio Giacomuzzo; Ruggero Carli (CoDIT, 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; et al. (EMBC, 2023)

Forward Dynamics Estimation from Data-Driven Inverse Dynamics Learning. - Alberto Dalla Libera; Giulio Giacomuzzo; Ruggero Carli; Daniel Nikovski; Diego Romeres (CoRR, 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., 2023)

Adaptive Robust Controller for handling Unknown Uncertainty of Robotic Manipulators. - Mohamed Abdelwahab; Giulio Giacomuzzo; Alberto Dalla Libera; Ruggero Carli (CASE, 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; et al. (IJCAI, 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 (L4DC, 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)

Learning control of underactuated double pendulum with Model-Based Reinforcement Learning. - Niccolò Turcato; Alberto Dalla Libera; Giulio Giacomuzzo; Ruggero Carli; Diego Romeres (CoRR, 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)

Accelerating Model-Based Reinforcement Learning using Non-Linear Trajectory Optimization. - Marco Calì; Giulio Giacomuzzo; Ruggero Carli; Alberto Dalla Libera (MED, 2025)

A Robust Controller based on Gaussian Processes for Robotic Manipulators with Unknown Uncertainty. - Giulio Giacomuzzo; Mohamed Abdelwahab; Marco Calì; Alberto Dalla Libera; Ruggero Carli (MED, 2025)

Data efficient Robotic Object Throwing with Model-Based Reinforcement Learning. - Niccolò Turcato; Giulio Giacomuzzo; Matteo Terreran; Davide Allegro; Ruggero Carli; Alberto Dalla Libera (CoRR, 2025)

Reinforcement Learning for Robust Athletic Intelligence: Lessons from the 2nd 'AI Olympics with RealAIGym' Competition. - Felix Wiebe; Niccolò Turcato; Alberto Dalla Libera; Jean Seong Bjorn Choe; BumKyu Choi; Tim Lukas Faust; Habib Maraqten; Erfan Aghadavoodi; Marco Calì; Alberto Sinigaglia; Giulio Giacomuzzo; Diego Romeres; et al. (CoRR, 2025)

Learning global control of underactuated systems with Model-Based Reinforcement Learning. - Niccolò Turcato; Marco Calì; Alberto Dalla Libera; Giulio Giacomuzzo; Ruggero Carli; Diego Romeres (CoRR, 2025)

Towards Autonomous Reinforcement Learning for Real-World Robotic Manipulation With Large Language Models. - Niccolò Turcato; Matteo Iovino; Aris I. Synodinos; Alberto Dalla Libera; Ruggero Carli; Pietro Falco (IEEE Robotics Autom. Lett., 2025)