Francesco Biral

Job Title: Associated Professor

Bio: Francesco Biral received the master’s degree in mechanical engineering from the University of Padova, Italy, and the Ph.D. degree in mechanism and machine theory from the University of Brescia, Italy, in 2000 for his work on minimum lap time of racing vehicles with the use of optimal control. He is currently an Associate Professor with the Department of Industrial Engineering at the University of Trento. His research interests include symbolic and numerical multi-body dynamics and optimization, constrained optimal control, mainly in the field of vehicle dynamics with special focus on intelligent vehicles and optimal maneuver for racing vehicles. He has 15 years experience in the development and validation of ADAS and AD functions, both for cars and PTWs, gained in several European and industrial funded research projects.

Publications available here [6]

Journal Articles

A Physics-Driven Artificial Agent for Online Time-Optimal Vehicle Motion Planning and Control

Mattia Piccinini , Sebastiano Taddei , Matteo Larcher , Mattia Piazza , Francesco Biral

IEEE Access, 2023

DOI   Project Page

Fast Planning and Tracking of Complex Autonomous Parking Maneuvers With Optimal Control and Pseudo-Neural Networks

Edoardo Pagot , Mattia Piccinini , Enrico Bertolazzi , Francesco Biral

IEEE Access, 2023

DOI   Project Page

Robust and Sample-Efficient Estimation of Vehicle Lateral Velocity Using Neural Networks With Explainable Structure Informed by Kinematic Principles

Mauro Da Lio , Mattia Piccinini , Francesco Biral

IEEE Transactions on Intelligent Transportation Systems, 2023

DOI   Project Page

A Predictive Neural Hierarchical Framework for On-line Time-Optimal Motion Planning and Control of Black-Box Vehicle Models

Mattia Piccinini , Matteo Larcher , Edoardo Pagot , Davide Piscini , Leone Pasquato , Francesco Biral

Vehicle System Dynamics, 2022

DOI   Project Page

Conference Papers

Real-time Optimal Control of an Autonomous RC Car with Minimum-Time Maneuvers and a Novel Kineto-Dynamical Model

Edoardo Pagot , Mattia Piccinini , Francesco Biral

2020 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2020

DOI   Project Page

Workshop Papers

Real-time Autonomous Parking in Unstructured Scenarios with an Indirect Optimal Control Approach

Edoardo Pagot , Mattia Piccinini , Alice Plebe , Enrico Bertolazzi , Francesco Biral

Behavior-Driven Autonomous Driving in Unstructured Environments (BADUE), IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2022

Project Page