- Docente: Giuseppe Notarstefano
- Credits: 8
- SSD: IINF-04/A
- Language: English
- Moduli: Giuseppe Notarstefano (Modulo 1) Ivano Notarnicola (Modulo 2)
- Teaching Mode: In-person learning (entirely or partially) In-person learning (entirely or partially) (Modulo 1); In-person learning (entirely or partially) (Modulo 2)
- Campus: Bologna
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Corso:
Second cycle degree programme (LM) in
Computer Engineering (cod. 6719)
Also valid for Second cycle degree programme (LM) in Artificial Intelligence (cod. 6700)
Second cycle degree programme (LM) in Automation Engineering (cod. 6711)
Learning outcomes
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.
Syllabus
Office hours
See the website of Giuseppe Notarstefano
See the website of Ivano Notarnicola