The (MIR) Marine and Maritime Intelligent Robotics Master, innovatively combines Robotics and Artificial Intelligence in the context of advancing marine and maritime science and their technological applications.
MIR Master programme aims at building the capacity of future engineers to enable advancements in the development and operation of new robotics systems with far-reaching impact on techniques necessary for ocean exploration and exploitation.
Such systems will necessarily use a new breed of autonomous surface and underwater robots: teleoperated/semi-autonomous robots, specialized robots for deep sea operations, and robots for infrastructure inspection and maintenance, often working in cooperation and networked via aerial, acoustic, and optical links.
The challenges that lie ahead can only be met by bringing together fast-paced developments in robotics and AI methods with a view to sustained autonomy and on-line decision making in the unforgiving marine environment. The MIR Master’s is designed to provide training in state-of-the-art applied robotics targeted at enhancing the efficiency, health, safety and environmental performance of the offshore industry, maritime operations, and marine science studies.
A MIR Graduate upon completion of the programme will:
have a deepened understanding of marine processes and challenges in order to develop robots that will interact in-and-with it, as well as develop technological solutions to mitigate and adapt to future environmental challenges (such as pollution, climate change impacts, etc.)
- master the spectrum of sensors/actuators specific to underwater and sea-surface robotics. Understand their functions, limitations and be capable of implementing them on robots and using them.
- be capable of modelling external forces onto robotic systems and use simulation tools to predict the behaviour in a marine environment.
- develop and use a general framework for mission planning, programming, and execution of single and multiple, networked marine robots working in cooperation. Master the theoretical foundations and practical aspects of networked control systems and distributed estimation and control.
- be experts in data-driven computational approaches to sensing, control, decision-making and autonomous behaviour. Provide maritime robots with Artificial Intelligence (AI) capabilities ranging from perceptual abilities to autonomous motion and navigation planning.
- be proficient in the main Machine Learning techniques and paradigms applicable to robotics. Know the state-of-the-art in ML-based solutions to robotic-specific problems, including Deep Learning applications to computer vision, acoustic sensing and reinforcement learning.
- tackle surface and underwater technological applications in coastal, offshore, deep sea environments relevant to maritime navigation, surveillance, environmental monitoring, geotechnical surveying, offshore oil and gas, ocean farming, and renewables industries.
- apply the necessary communication and research skills for integrated team work
- manage innovation projects and systematically assess risks and reliability issues
- recognize technical, financial, ethical and regulatory boundaries to AI and marine technological innovations development and operation
- have an in-depth understanding of blue growth industry sectors and innovation technology development opportunities.
In the 2nd year, MIR students specialise in one of the 3 study tracks :