Ph.D. candidate in Ingegneria Informatica E Dei Sistemi , 39th cycle (2023-2026)
Department of Control and Computer Engineering (DAUIN)
Adjunct lecturer/Adjunct instructor
Department of Control and Computer Engineering (DAUIN)
Profile
PhD
Research topic
Innovative Automated Driving functional architecture based on APF/MPC approaches for new sustainable mobility systems
Tutors
- Massimo Canale
- Carlo Novara
- Franck Guillemard
Keywords
Biography
Francesco Cerrito received his Master's degree in Mechatronics Engineering from Politecnico di Torino, Italy, in 2022. Following a research fellowship at the Department of Control and Computer Engineering at Politecnico di Torino, he began his Ph.D. studies at the same institution in November 2023. His primary research interests lie in the fields of nonlinear control and optimal control, with a specific focus on their application to autonomous vehicles.
Teaching
Teachings
Master of Science
- Digital control technologies and architectures. A.A. 2025/26, INGEGNERIA INFORMATICA (COMPUTER ENGINEERING). Collaboratore del corso
- Digital control technologies and architectures. A.A. 2025/26, INGEGNERIA INFORMATICA (COMPUTER ENGINEERING). Collaboratore del corso
- Digital control technologies and architectures. A.A. 2024/25, INGEGNERIA INFORMATICA (COMPUTER ENGINEERING). Collaboratore del corso
- Digital control technologies and architectures. A.A. 2024/25, INGEGNERIA INFORMATICA (COMPUTER ENGINEERING). Collaboratore del corso
- Digital control technologies and architectures. A.A. 2023/24, INGEGNERIA INFORMATICA (COMPUTER ENGINEERING). Collaboratore del corso
Publications
Latest publications View all publications in Porto@Iris
- Cerrito, Francesco; Menezes Morato, Marcelo; Canale, Massimo; Sename, Olivier (In stampa)
Autonomous Vehicle Trajectory Tracking: An Integrated Longitudinal/Lateral LPV MPC Approach. In: 23rd IFAC World Congress
Contributo in Atti di Convegno (Proceeding) - Costa, David; Cerrito, Francesco; Canale, Massimo; Novara, Carlo (In stampa)
Unifying Decision Making and Trajectory Planning in Automated Driving through Time-Varying Potential Fields. In: 23rd IFAC World Congress
Contributo in Atti di Convegno (Proceeding) - Punta, Elisabetta; Canale, Massimo; Cerrito, Francesco; Razza, Valentino (In stampa)
An Original Sliding Mode Approach to Autonomous Driving Based on Super-Twisting and Artificial Potential Fields. In: American Control Conference (ACC), 2025, Denver (USA), July 8-10, 2025
Contributo in Atti di Convegno (Proceeding) - Costa, David; Cerrito, Francesco; Canale, Massimo; Novara, Carlo (2026)
Unifying Decision-Making and Trajectory-Planning in Unsignalized Intersections Using Time-Varying Potential Fields. In: 2026 34th Mediterranean Conference on Control and Automation (MED), Ancona (Ita), 23-26 June 2026, pp. 251-256. ISBN: 979-8-3195-4746-0
Contributo in Atti di Convegno (Proceeding) - Canale, Massimo; Cerrito, Francesco; Borodani, Pandeli (2024)
Procedimenti e/o sistemi per la guida autonoma di veicoli. N. brevetto: 102024000027819, propr. brevetto: 3 - Politecn. di Torino et al
Brevetti
Knowledge Valorisation
Technology transfer
Patents and other intellectual properties
- A safe automated driving approach using time varying potential fields for decision making and path planning. national Patent
Inventors: Massimo Canale Francesco Cerrito David Costa Carlo Novara - An Ego-Based Approach to Planning and Control for Automated Valet Parking Applications. national Patent
Inventors: Massimo Canale Francesco Cerrito