Dottorando in Ingegneria Aerospaziale , 37o ciclo (2021-2024)
Dipartimento di Ingegneria Meccanica e Aerospaziale (DIMEAS)
Profilo
Dottorato di ricerca
Tutori
Interessi di ricerca
Biografia
Davide Celestini is a PhD student in Aerospace Engineering at the Department of Mechanical and Aerospace Engineering (DIMEAS) of Politecnico di Torino. During his university course, he took part in the aeronautical project of the student team Team S55, focused on the realization of an historical seaplane flying scale model. He received his Master of Science Degree in Aerospace Engineering on April 2021, with a thesis developed in collaboration with Thales Alenia Space. The work focused on Guidance, Navigation and Control algorithms for autonomous space proximity operations exploiting Harmonic Artificial Potential Fields and Sliding-Mode Observers. After the graduation, he started working at DIMEAS on a research activity in collaboration with Leonardo focused on path and trajectory planning for UAV’s swarms missions. In November 2021, he started his PhD program focused on the design of optimization alogothms for autonomous robotic systems. In September 2023 he started a visiting research period at the Autonomous Systems Lab,Stanford University. He is currently working on trajectory optimization and learning-based techinques for autonomous space robotics.
Competenze
Settori ERC
Didattica
Insegnamenti
Corso di laurea di 1° livello
- Costruzioni aeronautiche. A.A. 2022/23, INGEGNERIA AEROSPAZIALE. Collaboratore del corso
Ricerca
Gruppi di ricerca
Pubblicazioni
Pubblicazioni degli ultimi anni
Coautori PoliTO
Pubblicazioni più recenti Vedi tutte le pubblicazioni su Porto@Iris
- Ricioppo, Petre; Celestini, Davide; Capello, Elisa (2023)
Generalization of Reinforcement Learning through Artificial Potential Fields for agricultural UGVs. In: 2023 IEEE International Workshop on Metrology for Agriculture and Forestry (MetroAgriFor), Pisa (IT), 6-8 novembre, 2023, pp. 386-391. ISBN: 979-8-3503-1272-0
Contributo in Atti di Convegno (Proceeding) - Celestini, Davide; Primatesta, Stefano; Capello, Elisa (2023)
Bio-Inspired Complete Coverage Path Planner for Precision Agriculture in Dynamic Environments. In: 2023 IEEE International Workshop on Metrology for Agriculture and Forestry, Pisa (IT), 6-8 novembre, 2023
Contributo in Atti di Convegno (Proceeding) - Celestini, Davide; Primatesta, Stefano; Capello, Elisa (2022)
Trajectory Planning for UAVs Based on Interfered Fluid Dynamical System and Bézier Curves. In: IEEE ROBOTICS AND AUTOMATION LETTERS, vol. 7, pp. 9620-9626. ISSN 2377-3766
Contributo su Rivista - Celestini, Davide; Ciavola, Martina; Capello, Elisa (2021)
Sliding-Mode Observer-based Navigation Algorithms and Artificial Potential Fields for Space Proximity Operations. In: 2021 AAS/AIAA Astrodynamics Specialist Conference, 9-11 August
Contributo in Atti di Convegno (Proceeding) - Di Ianni, L.; Loiodice, L.; Celestini, D.; Tiberti, D.; Baldon, C.; Iavecchia, P.; ... (2021)
TEAM S55: 1:8 SCALE “REPLICA” OF THE SIAI-MARCHETTI S55X. In: 32nd ICAS Congress, Shanghai (China), 6-10 September 2021
Contributo in Atti di Convegno (Proceeding) - Cestino, Enrico; DI IANNI, Luca; Iavecchia, Pasquale; Celestini, Davide; Loiodice, ... (2019)
Una storia moderna. In: PROGETTARE, vol. Ottobre 2019, pp. 42-44. ISSN 1125-1549
Contributo su Rivista