Enza Incoronata Trombetta

Dottoranda in Ingegneria Aerospaziale , 38^o ciclo (2022-2025)
Dipartimento di Ingegneria Meccanica e Aerospaziale (DIMEAS)

enza.trombetta@polito.it

Profilo

Dottorato di ricerca

Argomento di ricerca

Distributed Navigation Algorithms, Sensor Management, Data Fusion

Tutori

Elisa Capello
Roberto Demarchi

Interessi di ricerca

Autonomous Aerial Vehicles

Sensors Integration and Avionics / Systems Modelling and Simulation

Biografia

Enza Incoronata Trombetta graduated on April 2021 in Aerospace Engineering with a thesis about Identi¿cation Methods and Simulation Modeling carried out on a small unmanned ground vehicle (UGV) designed for Indoor Applications. After graduation, she has been engaged in a research grant focused on Cooperation and Autonomous technologies for Unmanned Aircraft Systems focused on Data-Driven identification Methods, Navigation Guidance and Control algorithms and Data Fusion for robotic systems. She is currently a PhD student at the Department of Mechanical and Aerospace Engineering (DIMEAS) of Politecnico di Torino.

Didattica

Insegnamenti

Corso di laurea magistrale

Dinamica e controllo di veicoli spaziali. A.A. 2023/24, INGEGNERIA AEROSPAZIALE. Collaboratore del corso

Ricerca

Gruppi di ricerca

Dinamica, controllo e simulazione del volo (DIMEAS)

Pubblicazioni

Pubblicazioni più recenti Vedi tutte le pubblicazioni su Porto@Iris

Faliero, Fabio; Trombetta, Enza Incoronata; Capello, Elisa (2024)
Data-Driven Identification Based Model Predictive Control for a Ground Robot. In: 11th International Workshop on Metrology for AeroSpace (MetroAeroSpace), Lublin, Poland, 03-05 June 2024, pp. 543-548. ISBN: 979-8-3503-8505-2
Contributo in Atti di Convegno (Proceeding)
Mancini, Mauro; Trombetta, enza i.; Carminati, Davide; Capello, Elisa (2023)
Adaptive Sliding Mode Control with Artificial Potential Field for Ground Robots in Precision Agriculture. In: IEEE Metrology for Agriculture and Forestry, Pisa, Novembre 6-8, pp. 325-330
Contributo in Atti di Convegno (Proceeding)
Trombetta, ENZA INCORONATA; Carminati, Davide; Capello, Elisa (2022)
Nonlinear UGV Identification Methods via the Gaussian Process Regression Model for Control System Design. In: APPLIED SCIENCES, vol. 12. ISSN 2076-3417
Contributo su Rivista
Trombetta, E. I.; DAVID DU MUTEL DE PIERREPONT F, Iris; Carminati, D.; Scanavino, M.; ... (2021)
Data-driven identification method and simulation modeling of a ground robot. In: 8th IEEE International Workshop on Metrology for AeroSpace, MetroAeroSpace 2021, 2021, pp. 602-607. ISSN 2575-7482. ISBN: 978-1-7281-7556-0
Contributo in Atti di Convegno (Proceeding)