Davide Celestini

Davide Celestini's picture

Ph.D. in Ingegneria Aerospaziale , 37th cycle (2021-2024)

Ph.D. obtained in 2025

Dissertation:

Learning-based Optimal Guidance and Control Algorithms for Robotic Systems in Unstructured Environments

Tutors:

Elisa Capello Marco Pavone

Profile

Research interests

Flight control systems
Machine learning
Robotic systems
Space rendezvous
Trajectory optimization
Unmanned aerial systems (uav)

Teaching

Teachings

Master of Science

Bachelor of Science

MostraNascondi A.A. passati

Research

Research groups

Publications

Last years publications

PoliTO co-authors

Works published during the Ph.D. View all publications in Porto@Iris

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