Davide Celestini

Davide Celestini's picture

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

Thesis title

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

Tutors

Research interests

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

Skills

ERC sectors

PE8_1 - Aerospace engineering
PE1_19 - Control theory and optimisation
PE7_10 - Robotics
PE6_12 - Scientific computing, simulation and modelling tools

Teaching

Teachings

Master of Science

Bachelor of Science

MostraNascondi A.A. passati

Research

Research groups

Publications

Last years publications

PoliTO co-authors

Latest publications View all publications in Porto@Iris

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