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Journal and conference papers
A Road Friction-Aware Anti-Lock Braking System Based on Model-Structured Neural Networks
Vehicle Dynamics Learning From Physics Priors With Model-Structured Neural Networks
Model-Structured Neural Networks to Control the Steering Dynamics of Autonomous Race Cars
Posters
A Fully Differentiable Framework for Autonomous Driving Based on Model-Structured Neural Networks
Model-Structured Neural Networks on Edge Hardware: A Preliminary Study
Model-Structured Neural Networks for Road Condition Identification in AI-Enabled Digital Twin Architecture
nnodely: A Framework for Structured Neural Networks in Robotics
Model-Structured Neural Networks to Model & Control Robots
nnodely – neuralize your model
Presentations
A Framework for Model-Structured Neural Networks
A framework for design model-structured neural networks for model and control physical systems
A Framework for Designing Model-Structured Neural Networks for Modeling, Control, and Estimation of Physical Systems
NNodely: An Open Framework for Model-Structured Neural Networks in Robotics
A Framework for Designing Model-Structured Neural Networks for Modeling, Control, and Estimation of Physical Systems
Related works
Complex self-driving behaviors emerging from affordance competition in layered control architectures
Efficient Prediction of Human Motion for Real-Time Robotics Applications With Physics-Inspired Neural Networks
A Reinforcement Learning Approach for Enacting Cautious Behaviours in Autonomous Driving
A Mental Simulation Approach for Learning Neural-Network Predictive Control (in Self-Driving Cars)
Modelling longitudinal vehicle dynamics with neural networks
Learning Equations for Extrapolation and Control
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Journal and conference papers
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Presentations
Related works
Publications
Journal and conference papers
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
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
Mattia Piccinini, Aniello Mungiello, Georg Jank,
Gastone Pietro Rosati Papini
, Francesco Biral, Johannes Betz
ITSC 2025
(2025)
CODE
|
PDF
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Posters
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
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
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
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
Mattia Piccinini, Aniello Mungiello, Johannes Betz,
Gastone Pietro Rosati Papini
ICRA 2025 — Late breaking results
(2025)
PDF
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
No matching items
Presentations
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
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
Gastone Pietro Rosati Papini
Chitkara University, India
(2025)
PDF
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
Gastone Pietro Rosati Papini
Workshop-COSENO, University of Trento, Italy
(2025)
PDF
No matching items
Related works
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
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
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)
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
Mauro Da Lio, Daniele Bortoluzzi,
Gastone Pietro Rosati Papini
Vehicle System Dynamics
(2019)
DOI
|
PDF
Learning Equations for Extrapolation and Control
Subham S. Sahoo, Christoph H. Lampert, Georg Martius
ICML
(2018)
PDF
No matching items
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A Road Friction-Aware Anti-Lock Braking System Based on Model-Structured Neural Networks