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Prof. Sergio Savaresi, professor of Vehicle Control Systems and Learning Models from Experimental Data in our degree program, presents the impact that automation, control, and artificial intelligence applied to physical systems will have on the future of mobility.
Watch the video here:
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A new course titled “Aerial Robotics” will be added to the MSc Degree Program in Automation and Control Engineering in the second semester of the academic year 2025/26.
Aerial robots, such as multirotor UAVs, have emerged as one of the most versatile robotic platforms, enabling applications such as inspection, monitoring, logistics, and physical interaction with the environment. Their growing diffusion and complexity call for a deep understanding of the modeling, estimation, control, and interaction principles that underpin their operation.
The goal of the “Aerial Robotics” course is to provide students with fundamental knowledge and practical skills in aerial robotics, combining theoretical foundations, algorithmic implementation, and hands-on experimentation in simulation.
The course is built on three main pillars:
Through lectures, guided exercises, and a final project, students will learn how to model aerial robots, design estimators and controllers, generate trajectories, and investigate physical interaction strategies. Modern approaches integrating optimization and artificial intelligence for aerial robotics will also be introduced.
The course will be entirely delivered by Dr. Marco Tognon from INRIA Rennes, France.
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Starting from the academic year 2025/2026, three new devices will enrich the available choices for students of the Automation and Control Laboratory course. Moreover, two additional classes will be added, reaching a target of maximum 45 students per class, optimizing the learning experience. The Automation and Control Laboratory is a mandatory course in our MSc Program, characterized by 100% innovative teaching approach, where the students, organized in small groups, design automatic control systems for challenging multivariable systems. Check out the recent video!