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Mattia Piccinini

Humboldt Post-doctoral Fellow, Technical University of Munich

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I am a Humboldt Post-doctoral Fellow at the Autonomous Vehicle Systems (AVS) Lab, Technical University of Munich (TUM), Germany.

My research lies at the intersection of robotics, machine learning, and control. I develop algorithms for real-time trajectory planning, control, and estimation of autonomous robots in uncertain, dynamic environments. I like to integrate prior knowledge of the robot dynamics into learning-based methods, such as neural networks, to enhance their generalization to unseen scenarios with minimal training data.

A 3-minute video presentation of my Ph.D. research is available here.

Education

Ph.D. in Autonomous Systems (summa cum laude) | University of Trento | 2024
M.Sc. in Mechatronics Engineering (summa cum laude) | University of Trento | 2019
B.Sc. in Industrial Engineering (summa cum laude) | University of Trento | 2017


Mattia’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

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

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

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

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
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