Edoardo Pagot

Job Title: Ex Research fellow

Bio: 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.

Publications available here [4]

Journal Articles

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

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