Admission requirements

Bachelor Degree in Automation Engineering, Computer Engineering, Electrical/Electronic Engineering, Industrial Engineering, Mechanical Engineering.

Context

The Master’s Degree in Robotics and Automation Engineering is delivered in English. It provides multidisciplinary expertise in Automation, Autonomous Systems, Robotics, Mechatronics and Mechanical Engineering by training students on Control and Systems Theory, Optimization, Machine Learning, Mechanics, Computer Vision, Real-time Software and Artificial Intelligence. Lab and experimental activities complete the theoretical skills. Thanks to its interdisciplinary nature and methodological approach, this master degree fits for students with a technical/scientific background in the areas of information engineering, industrial engineering, computer science, mathematics, or physics.

Learning objectives and outcomes

Robotics and Automation MS graduates will be able to:

• Design and monitor industrial plants: process control, component flows, machine safety and personal safety;
• Design industrial robot systems: robotic tooling, actuators, mechanics and sensors;
• Develop computer-aided production tools and data communication within industrial robotics networks;
• Understand the key concepts of machine learning, including supervised learning, reinforcement learning, and deep reinforcement learning;
• Understand the key concepts of perception-planning-control pipeline for autonomous driving.

Main topics

Robotics and Automation graduates will acquire advanced skills on industrial automation and process control; robotic systems; modelling and simulation of dynamical systems; data analysis; information systems; systems including artificial intelligence; design of hardware/ software integrated systems; man- machine interfaces; human-robot interfaces.

Employability and careers

The job opportunities of a Robotics and Automation Engineer fall within industries, public companies, financial institutions and research facilities, whose R&D divisions carry out activities in the fields of information systems, industrial automation and robotics. Furthermore, graduates can access PhD programs in the areas of Information Engineering. The training flexibility is a relevant asset of the Robotics and Automation Engineer, in view of the large variety of possible applications, of the continuous and rapid evolution of the technologies, as well of the job market.

Keywords

Cognitive robotics. Industrial automation. Autonomous driving. Automotive. Networked systems. Resilience in cyber-physical systems

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