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92995 - DISTRIBUTED AUTONOMOUS SYSTEMS M

Anno Accademico 2024/2025

                
                        Docente:
                        Giuseppe Notarstefano
                    
                        Crediti formativi:
                        8
                    
                        SSD:
                        ING-INF/04
                    
                        Lingua di insegnamento:
                        Inglese
                    
                        Moduli:
                        
                            Giuseppe Notarstefano
                            (Modulo 1)
                        
                            Ivano Notarnicola
                            (Modulo 2)
                        
                        Modalità didattica:
                        
                                    Convenzionale - Lezioni in presenza (Modulo 1)
                                
                                    Convenzionale - Lezioni in presenza (Modulo 2)
                                
                            Campus:
                            Bologna
                        
                            Corso:
                            Laurea Magistrale in
                            Ingegneria informatica (cod. 5826)

                                Valido anche per
                                
                                    Laurea Magistrale in
                                    
                                        Automation Engineering (cod. 8891)
                                    
                                    Laurea Magistrale in
                                    
                                        Artificial Intelligence (cod. 9063)
                                    
                            Risorse didattiche su Virtuale
                        
                                        Orario delle lezioni (Modulo 1)
                                    
dal 25/02/2025 al 10/06/2025

                                        Orario delle lezioni (Modulo 2)
                                    
dal 19/02/2025 al 11/06/2025

Conoscenze e abilità da conseguire

The course focuses on the design of control, optimization and learning methods and software tools for teams of autonomous systems. These systems consist of cooperative agents, as intelligent robots, autonomous vehicles and decision systems, that aim at performing complex tasks according to a federated and distributed computing paradigm. At the end of the course students will know how to design selected distributed control, optimization and learning algorithms to solve complex tasks involving teams of autonomous systems. To bridge the gap between theory and application, laboratory activities will allow students to design software tools for the studied algorithms and apply them to a number of application domains, including, e.g., planning,guidance and optimal control of cooperative autonomous vehicles and intelligent robots as well as machine learning and data analytics for decision systems.