Ruggero Carli

About Ruggero Carli

Ruggero Carli, With an exceptional h-index of 35 and a recent h-index of 25 (since 2020), a distinguished researcher at Università degli Studi di Padova, specializes in the field of Control Theory.

His recent articles reflect a diverse array of research interests and contributions to the field:

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

Methods and systems for managing as-a-service systems in the event of connectivity issues

ADMM-Tracking Gradient for Distributed Optimization over Asynchronous and Unreliable Networks

Embedding the Physics in Black-box Inverse Dynamics Identification: a Comparison Between Gaussian Processes and Neural Networks

Fast Solver for Implicit Continuous Set Model Predictive Control of Electric Drives

Forward Dynamics Estimation from Data-Driven Inverse Dynamics Learning

Dual-Ascent Optimization for the Provision of Ancillary Services in Three-Phase Low-Voltage Microgrids

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

Ruggero Carli Information

University

Position

Associate Professor at

Citations(all)

5744

Citations(since 2020)

2290

Cited By

4328

hIndex(all)

35

hIndex(since 2020)

25

i10Index(all)

102

i10Index(since 2020)

58

Email

University Profile Page

Google Scholar

Ruggero Carli Skills & Research Interests

Control Theory

Top articles of Ruggero Carli

Title

Journal

Author(s)

Publication Date

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

arXiv preprint arXiv:2402.09078

Alberto Sinigaglia

Niccolò Turcato

Alberto Dalla Libera

Ruggero Carli

Gian Antonio Susto

2024/2/14

Methods and systems for managing as-a-service systems in the event of connectivity issues

2024/1/30

ADMM-Tracking Gradient for Distributed Optimization over Asynchronous and Unreliable Networks

arXiv preprint arXiv:2309.14142

Guido Carnevale

Nicola Bastianello

Giuseppe Notarstefano

Ruggero Carli

2023/9/25

Embedding the Physics in Black-box Inverse Dynamics Identification: a Comparison Between Gaussian Processes and Neural Networks

IFAC-PapersOnLine

Giulio Giacomuzzo

Alberto Dalla Libera

Ruggero Carli

2023/1/1

Fast Solver for Implicit Continuous Set Model Predictive Control of Electric Drives

IEEE Access

Andrea Favato

Paolo Gherardo Carlet

Francesco Toso

Riccardo Torchio

Ludovico Ortombina

...

2022/2/9

Forward Dynamics Estimation from Data-Driven Inverse Dynamics Learning

arXiv preprint arXiv:2307.05093

Alberto Dalla Libera

Giulio Giacomuzzo

Ruggero Carli

Daniel Nikovski

Diego Romeres

2023/7/11

Dual-Ascent Optimization for the Provision of Ancillary Services in Three-Phase Low-Voltage Microgrids

Andrea Lauri

Tommaso Caldognetto

Ruggero Carli

Davide Biadene

Paolo Mattavelli

2023/10/16

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

Alberto Dalla Libera

Giulio Giacomuzzo

Ruggero Carli

2023/7/3

Extrapolation-based prediction-correction methods for time-varying convex optimization

Signal Processing

Nicola Bastianello

Ruggero Carli

Andrea Simonetto

2023/9/1

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

arXiv preprint arXiv:2310.06585

Giulio Giacomuzzo

Alberto Dalla Libera

Diego Romeres

Ruggero Carli

2023/10/10

Learning control from raw position measurements

Fabio Amadio

Alberto Dalla Libera

Daniel Nikovski

Ruggero Carli

Diego Romeres

2023/5/31

Motor-level Nonlinear Model Predictive Control for a Tilting Quadrotor

Beniamino Pozzan

Giulio Giacomuzzo

Mattia Bruschetta

Ruggero Carli

Angelo Cenedese

2023/8/16

Kernel methods and gaussian processes for system identification and control: A road map on regularized kernel-based learning for control

Algo Carè

Ruggero Carli

Alberto Dalla Libera

Diego Romeres

Gianluigi Pillonetto

2023/9/28

Coordinated multi-robot trajectory tracking control over sampled communication

Automatica

Enrica Rossi

Marco Tognon

Luca Ballotta

Ruggero Carli

Juan Cortés

...

2023/5/1

Internal Model-Based Online Optimization

IEEE Transactions on Automatic Control

Nicola Bastianello

Ruggero Carli

Sandro Zampieri

2023/7/20

A Control Theoretical Approach to Online Constrained Optimization

arXiv preprint arXiv:2309.15498

Umberto Casti

Nicola Bastianello

Ruggero Carli

Sandro Zampieri

2023/9/27

An Adaptive Model Predictive Controller to Address the Biovariability in Blood Clotting Response During Therapy With Warfarin

IEEE Transactions on Biomedical Engineering

Edoardo Faggionato

Alessandro Guazzo

Elena Pegolo

Ruggero Carli

Mattia Bruschetta

...

2023/3/27

Distributed consensus optimization via admm-tracking gradient

Guido Carnevale

Nicola Bastianello

Ruggero Carli

Giuseppe Notarstefano

2023/12/13

Anomaly Detection for Hydroelectric Power Plants: a Machine Learning-based Approach

Mattia Fanan

Claudio Baron

Ruggero Carli

Marc-Aurèle Divernois

Jean-Christophe Marongiu

...

2023/7/18

Model-based policy search using monte carlo gradient estimation with real systems application

IEEE Transactions on Robotics

Fabio Amadio

Alberto Dalla Libera

Riccardo Antonello

Daniel Nikovski

Ruggero Carli

...

2022/7/12

See List of Professors in Ruggero Carli University(Università degli Studi di Padova)

Co-Authors

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