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| mattia.piccinini(at)tum.de | |
| Room | Hochbrück 3.4.18 |
| Phone | |
| ORCID | ORCID |
| Google Scholar | Google Scholar Profil |
| Researchgate | Researchgate Profil |
Research Topics
- Local and global trajectory planning
- Model predictive control
- Motion control
- Adaptive planning and control
- Lateral velocity estimation
- Neural networks with physics-driven architectures
- Autonomous racing and driving
Vita
Mattia Piccinini received a B.Sc. in industrial engineering (2017, cum laude) and an M.Sc. in mechatronics engineering (2019, cum laude), both from the University of Trento, Italy. He obtained a Ph.D. in autonomous systems (2024, cum laude) from the same institution, under the supervision of Prof. Francesco Biral, with a doctoral thesis titled "Artificial Drivers for Online Time-Optimal Vehicle Trajectory Planning and Control".
In 2022, he was a visiting researcher at the Universität der Bundeswehr, Munich, Germany. Following his Ph.D., he was a post-doctoral researcher at the University of Trento, from April to November 2024.
From December 2024, he is a TUM Global Post-doctoral Fellow at the Technical University of Munich (TUM), in the Autonomous Vehicle Systems group lead by Prof. Johannes Betz.
His research at TUM focuses on adaptive motion planning and control methods for autonomous racing and driving, in uncertain and dynamic environments.