Ph.D. candidate in Ingegneria Aerospaziale , 39th cycle (2023-2026)
Department of Mechanical and Aerospace Engineering (DIMEAS)
Profile
PhD
Tutors
- Elisa Capello
- Enrico Ferrera
Biography
I'm Petre Ricioppo, a PhD student at Politecnico di Torino, specializing in Multi-Agent Reinforcement Learning for heterogeneous robotic systems. I earned my Master's Degree in Aerospace Engineering from the same institution, with a thesis focused on developing a Reinforcement Learning algorithm for ground robot guidance. Currently, my PhD research explores the application of advanced learning algorithms to enhance the capabilities of diverse robotic systems. My journey reflects a passion for innovation at the intersection of artificial intelligence and robotics, with a commitment to contributing cutting-edge solutions to the field.
Publications
PoliTO co-authors
Last years publications
Publications by type
Latest publications View all publications in Porto@Iris
- Enrico, Riccardo; Ricioppo, Petre; Mancini, Mauro; Primatesta, Stefano (In stampa)
Computer Vision-Based Autonomous Navigation for UAV Vineyard Row Following. In: 2024 IEEE International Workshop on Metrology for Agriculture and Forestry (MetroAgriFor), Padova (Italia), October 29-31, 2024
Contributo in Atti di Convegno (Proceeding) - Ricioppo, Petre; Mancini, Mauro; Capello, Elisa (2024)
Learning-Based Artificial Potential Field Path Planning for Agricultural UGVs. In: 2024 IEEE International Workshop on Metrology for Agriculture and Forestry (MetroAgriFor), Padua, Italy, 29-31 October 2024, pp. 301-306. ISBN: 979-8-3503-5544-4
Contributo in Atti di Convegno (Proceeding) - 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)