Ph.D. candidate in Ingegneria Aerospaziale , 37th cycle (2021-2024)
Department of Mechanical and Aerospace Engineering (DIMEAS)
Docente esterno e/o collaboratore didattico
Department of Mechanical and Aerospace Engineering (DIMEAS)
Profile
PhD
Tutors
- Elisa Capello
- Marco Pavone
Research interests
Biography
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.
Skills
ERC sectors
Teaching
Teachings
Master of Science
- Progettazione di veicoli aerospaziali. A.A. 2024/25, INGEGNERIA AEROSPAZIALE. Collaboratore del corso
Bachelor of Science
- Costruzioni aeronautiche. A.A. 2024/25, INGEGNERIA AEROSPAZIALE. Collaboratore del corso
- Costruzioni aeronautiche. A.A. 2022/23, INGEGNERIA AEROSPAZIALE. Collaboratore del corso
- Costruzioni aeronautiche. A.A. 2022/23, INGEGNERIA AEROSPAZIALE. Collaboratore del corso
Research
Research groups
Publications
Last years publications
PoliTO co-authors
Latest publications View all publications in Porto@Iris
- Celestini, Davide; Gammelli, Daniele; Guffanti, Tommaso; D'Amico, Simone; Capello, ... (2024)
Transformer-Based Model Predictive Control: Trajectory Optimization via Sequence Modeling. In: IEEE ROBOTICS AND AUTOMATION LETTERS, vol. 9, pp. 9820-9827. ISSN 2377-3766
Contributo su Rivista - 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