Scholar
Mattia Piccinini
Google Scholar ID: xtgKwEoAAAAJ
TUM Global Post-doc Researcher, Technical University of Munich
Citations & Impact
Citations
190
H-index
9
i10-index
9
Publications
20
Co-authors
21
list available
Contact
Publications
Resume (English only)
Research Experience
- - 2022: Visiting Researcher at Universität der Bundeswehr, Munich, Germany
- - April to November 2024: Post-doctoral Researcher at the University of Trento
- - From December 2024: TUM Global Post-doctoral Fellow at the Technical University of Munich (TUM), in the Autonomous Vehicle Systems group led by Prof. Johannes Betz
Education
- - Bachelor's Degree: Industrial Engineering (2017, cum laude), University of Trento, Italy
- - Master's Degree: Mechatronics Engineering (2019, cum laude), University of Trento, Italy
- - Doctorate: Autonomous Systems (2024, cum laude), University of Trento, Supervisor: Prof. Francesco Biral, Thesis Title: 'Artificial Drivers for Online Time-Optimal Vehicle Trajectory Planning and Control'
Background
- - Research Interests: 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
- - Professional Field: Autonomous Vehicle Systems
- - Brief Introduction: Focuses on adaptive motion planning and control methods for autonomous racing and driving in uncertain and dynamic environments.
