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Gastone Pietro
Rosati Papini

Associate Professor in Applied Mechanics, University of Trento

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Gastone Pietro Rosati Papini is an Associate Professor in the Department of Industrial Engineering at the University of Trento, with over a decade of experience in advanced control systems and machine learning techniques for autonomous system. His research bridges the fields of applied mechanics, control theory, and machine learning, with a focus on developing intelligent and adaptive models and controllers. Specifically, He aims to integrate classical model-based principles with data-driven techniques to create innovative solutions for model and control physical systems.

Education

Ph.D. in Emerging Digital Technologies | Sant’Anna University (PERCRO), Pisa | 2016
M.S. in Automation Engineering | University of Pisa | 2011
B.S. in Software Engineering | University of Pisa | 2007


Gastone Pietro’s Group Publications

A Road Friction-Aware Anti-Lock Braking System Based on Model-Structured Neural Networks

A Road Friction-Aware Anti-Lock Braking System Based on Model-Structured Neural Networks
Mattia Piccinini, Matteo Zumerle, Johannes Betz, Gastone Pietro Rosati Papini
IEEE Open Journal of Intelligent Transportation Systems (2025)
DOI | CODE | PDF

Vehicle Dynamics Learning From Physics Priors With Model-Structured Neural Networks

Vehicle Dynamics Learning From Physics Priors With Model-Structured Neural Networks
Aniello Mungiello, Felix Jahncke, Stefania Santini, Johannes Betz, Gastone Pietro Rosati Papini, Mattia Piccinini
IEEE Open Journal of Intelligent Transportation Systems (2026)
DOI | CODE | PDF

Model-Structured Neural Networks to Control the Steering Dynamics of Autonomous Race Cars

Model-Structured Neural Networks to Control the Steering Dynamics of Autonomous Race Cars
Mattia Piccinini, Aniello Mungiello, Georg Jank, Gastone Pietro Rosati Papini, Francesco Biral, Johannes Betz
ITSC 2025 (2025)
CODE | PDF

A Fully Differentiable Framework for Autonomous Driving Based on Model-Structured Neural Networks

A Fully Differentiable Framework for Autonomous Driving Based on Model-Structured Neural Networks
Sabrina Ciuffoletti, Gioele Defrancesco, Giovanni Scialla, Mattia Piazza, Sebastiano Taddei, Gastone Pietro Rosati Papini
ICRA 2026 — Autonomous Driving Workshop (2026)
PDF

Model-Structured Neural Networks on Edge Hardware: A Preliminary Study

Model-Structured Neural Networks on Edge Hardware: A Preliminary Study
Giovanni Maria Francesco La Scala, Sebastiano Taddei, Francesco Baroni, Gioele Defrancesco, Filippo Faccini, Gastone Pietro Rosati Papini
ICRA 2026 — RoboARCH 2026, 8th International Workshop on Robotics Acceleration with Computing Hardware and Systems (2026)
PDF

Model-Structured Neural Networks for Road Condition Identification in AI-Enabled Digital Twin Architecture

Model-Structured Neural Networks for Road Condition Identification in AI-Enabled Digital Twin Architecture
Mojtaba Sharifzadeh, Filippo Faccini, Giovanni Maria Francesco La Scala, Alice Plebe, Mattia Piccinini, Gastone Pietro Rosati Papini
ICRA 2026 — Workshop on AI-Driven Automation and Robotic System Integration with Digital Twins (2026)
PDF

nnodely: A Framework for Structured Neural Networks in Robotics

nnodely: A Framework for Structured Neural Networks in Robotics
Gastone Pietro Rosati Papini, Alice Plebe, Mojtaba Sharifzadeh, Sebastiano Taddei, Mattia Piazza, Giovanni Scialla, Francesco Baroni, Giovanni Maria Francesco La Scala, Davide De Martini, Gioele Defrancesco, Filippo Faccini
ICRA 2026 — RoSE'26, 8th International Workshop on Robotics Software Engineering (2026)
PDF

Model-Structured Neural Networks to Model & Control Robots

Model-Structured Neural Networks to Model & Control Robots
Mattia Piccinini, Aniello Mungiello, Johannes Betz, Gastone Pietro Rosati Papini
ICRA 2025 — Late breaking results (2025)
PDF

nnodely – neuralize your model

nnodely – neuralize your model
Gastone Pietro Rosati Papini, Alice Plebe, Mojtaba Sharifzadeh, Mattia Piazza, Sebastiano Taddei, Giovanni Scialla, Francesco Baroni, Davide De Martini, Giovanni Maria Francesco La Scala, Gioele Defrancesco, Filippo Faccini
ICRA 2026 — Late breaking results (2026)
PDF

A Framework for Model-Structured Neural Networks

A Framework for Model-Structured Neural Networks
Gastone Pietro Rosati Papini, Mattia Piccinini
Department of Industrial Engineering, University of Trento (2024)
PDF

A framework for design model-structured neural networks for model and control physical systems

A framework for design model-structured neural networks for model and control physical systems
Gastone Pietro Rosati Papini
UPAEP University, Puebla, Mexico (2025)
PDF

A Framework for Designing Model-Structured Neural Networks for Modeling, Control, and Estimation of Physical Systems

A Framework for Designing Model-Structured Neural Networks for Modeling, Control, and Estimation of Physical Systems
Gastone Pietro Rosati Papini
Chitkara University, India (2025)
PDF

NNodely: An Open Framework for Model-Structured Neural Networks in Robotics

NNodely: An Open Framework for Model-Structured Neural Networks in Robotics
Gastone Pietro Rosati Papini, Mattia Piccinini
Ekumen Robotics Software Company, Germany (2025)
PDF

A Framework for Designing Model-Structured Neural Networks for Modeling, Control, and Estimation of Physical Systems

A Framework for Designing Model-Structured Neural Networks for Modeling, Control, and Estimation of Physical Systems
Gastone Pietro Rosati Papini
Workshop-COSENO, University of Trento, Italy (2025)
PDF

Complex self-driving behaviors emerging from affordance competition in layered control architectures

Complex self-driving behaviors emerging from affordance competition in layered control architectures
Mauro Da Lio, Antonello Cherubini, Gastone Pietro Rosati Papini, Alice Plebe
Cognitive Systems Research (2022)
DOI | PDF

Efficient Prediction of Human Motion for Real-Time Robotics Applications With Physics-Inspired Neural Networks

Efficient Prediction of Human Motion for Real-Time Robotics Applications With Physics-Inspired Neural Networks
Alessandro Antonucci, Gastone Pietro Rosati Papini, Paolo Bevilacqua, Luigi Palopoli, Daniele Fontanelli
IEEE Access (2021)
DOI | PDF

A Reinforcement Learning Approach for Enacting Cautious Behaviours in Autonomous Driving

A Reinforcement Learning Approach for Enacting Cautious Behaviours in Autonomous Driving
Gastone Pietro Rosati Papini, Alice Plebe, Mauro Da Lio, Riccardo Donà
IEEE Transactions on Intelligent Transportation Systems (2021)
DOI | PDF

A Mental Simulation Approach for Learning Neural-Network Predictive Control (in Self-Driving Cars)

A Mental Simulation Approach for Learning Neural-Network Predictive Control (in Self-Driving Cars)
Mauro Da Lio, Riccardo Donà, Gastone Pietro Rosati Papini, Francesco Biral, Henrik Svensson
IEEE Access (2020)
DOI | PDF

Modelling longitudinal vehicle dynamics with neural networks

Modelling longitudinal vehicle dynamics with neural networks
Mauro Da Lio, Daniele Bortoluzzi, Gastone Pietro Rosati Papini
Vehicle System Dynamics (2019)
DOI | PDF
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