Edoardo Pagot

PhD Research Fellow

Edoardo Pagot received the M.S. degree in mechatronics engineering in 2018 and the Ph.D. degree cum laude in mechatronics engineering in 2023, both from the University of Trento, Italy.
He is currently a research fellow within the Department of Industrial Engineering at the University of Trento.
His research interests include multi-body dynamics modeling and optimal control (online and offline) in the field of vehicle dynamics, for both intelligent transportation and Motorsport sectors.

Education

PhD in Mechatronics and System Engineering | University of Trento | 2021 M.S. Mechatronics Engineering | University of Trento | 2017 B.S. Mechanical Engineering | University of Padua | 2014

Group Publications

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

IROS Workshop, pp. 2390-2396 (2020)

DOI | CITE

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

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

IROS Workshop (2022)

CITE

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, Volume 11, pp. 124163-124180 (2023)

DOI | CITE

How optimal is the minimum-time manoeuvre of an artificial race driver?

Mattia Piccinini, Sebastiano Taddei, Edoardo Pagot, Enrico Bertolazzi, Francesco Biral

Vehicle System Dynamics, Taylor & Francis, vol. 63, no. 12, pp. 2213-2240 (2025)

DOI | CITE