Master’s Degrees Marine and Maritime Intelligent Robotics ET MARITIME INTELLIGENT ROBOTICS
Domain : Science Technology Healthcare
Mention : Complex Systems Engineering
Parcours : Marine and Maritime Intelligent Robotics - MIR
Department : UFR Sciences et Techniques
Objectives / general presentation
The Master of Science in Intelligent Marine and Maritime Robotics (MIR) combines robotics and artificial intelligence in an innovative way in the context of the development of marine and maritime sciences and their technological applications. It aims to shape skills for advances in sea-related fields, in particular in the implementation of autonomous marine and underwater robots with remote operating capabilities, and in the use of artificial intelligence in these fields.
The MIR consortium is composed of four main academic partners, the Norwegian University of Science and Technology (NTNU), the Jaume I University (UJI, Spain), the Instituto Superior Técnico (IST-UL, Portugal) and the University of Toulon (UTLN, France) as coordinator. The network includes more than fifty associated industrial and academic partners, specialized in marine sciences, artificial intelligence and robotics.
The first year of the Master’s degree is taken in France at UTLN, in order to obtain a solid training in marine sciences, robotics and artificial intelligence, and to follow specialized seminars in industry. In the second year, students choose a specialization in Underwater Intervention at UJI, Autonomous Underwater Operations at NTNU, or Cooperative Robotics for Marine Vehicles at IST.
- Director : Ricard Marxer, marxer univ-tln.fr, associate professor
- Vincent Hugel, vincent.hugel univ-tln.fr, University professor, in charge of the M1.
- Ingrid Schjølberg, ingrid.schjolberg ntnu.no, University Professor, in charge of the M2, NTNU, Norway.
- António Pascoal, antonio isr.ist.utl.pt, University Professor, in charge of the M2, IST-UL, Portugal.
- Pedro J. Sanz, sanzp uji.es, University Professor, in charge of the M2, UJI, Spain.
Content of the courses
SEMESTER 1 (UTLN)
TU11 Transversal skills 1
– Scientific writing techniques (1 ECTS)
– Innovation, design thinking and co-creation (3 ECTS)
– English / French (-)
TU12 Marine environment
– Fundamental principles of marine and coastal processes (5 ECTS)
– Underwater acoustics (2 ECTS)
– Geometric, kinematic and dynamical modeling of robotic systems
– Modelling of marine systems (2.5 ECTS)
– Control theory of multivariable linear systems (5 ECTS)
TU14 Artificial intelligence
– Machine learning (3 ECTS)
– Deep learning (3 ECTS)
– Reinforcement learning (3 ECTS)
SEMESTER 2 (UTLN)
TU21 Transversal skills 2
– Risk and reliability engineering and AI potential (1 ECTS)
– Legislation on international water and autonomous vehicles (1 ECTS)
– Fairness, accountability and transparency in AI (1 ECTS)
– English / French (-)
TU22 AI and Robotics applied skills
– Actuators / sensors (2.5 ECTS)
– Advanced control for autonomous vehicles (3 ECTS)
– Optimization techniques (2 ECTS)
– Data-driven machine perception (3 ECTS)
– Adaptive autonomous robotic behaviour (2.5 ECTS)
– Marine localization and mapping (1.5 ECTS)
– Explainable artificial intelligence (1 ECTS)
TU23 Joint study tracks introductory skills
# Underwater interventions (1.5 ECTS)
# Autonomy in subsea operations (1.5 ECTS)
# Cooperative robotics (1.5 ECTS)
TU24 Industrial seminars
– Deep-sea drones and missions (2 ECTS)
– Underwater acoustic sensors (1 ECTS)
– Entrepreneurship - Industry and Research Project (2 ECTS)
– Intelligent robotics for seabed resources exploration (1 ECTS)
– Artificial intelligence and shipping (1 ECTS)
Annual Symposium and Robotics-AI Championship.
Specialization Applied robotics for underwater intervention mission (Spain)
- Perception and Manipulation (4 ECTS)
- Multi-robot systems (4 ECTS
- Cognitive processes (4 ECTS)
- Underwater wireless communication (4 ECTS)
- Telerobotics and human-robot interface (4 ECTS)
- Robotic intelligence (4 ECTS)
- Transversal skills (4 ECTS)
- Spanish (-)
Specialization Safe autonomous subsea operations (Norway)
- In-depth study in marine robotics (7.5 ECTS)
- Introduction to autonomous robotic systems (7.5 ECTS)
- Digital twin for autonomous marine robotics (3.75 ECTS)
- Safe and autonomous subsea operations (3.75 ECTS)
- Advanced methods in risk analysis (3.75 ECTS)
- Underwater technology (3.75 ECTS)
- Research methods and scientific writing (4 ECTS)
- Norwegian (-)
Specialization Cooperative marine robotics for scientific and commercial applications (Portugal)
- Optimization and algorithms (4 ECTS)
- Decision-making systems (4 ECTS)
- Autonomous systems (4 ECTS)
- Embedded computational systems (4 ECTS)
- Distributed real-time control systems (4 ECTS)
- Telecommunication networks (4 ECTS)
- Entrepreneurship, innovation and technology transfer (4 ECTS)
- Portuguese (-)
- In M1 : No compulsory internship planned in M1 but a tutored project is integrated into the curriculum.
- In M2 : Internship lasting 4 to 6 months.
Additional information if necessary
This training is supported by two research laboratories at UTLN : LIS (http://www.lis-lab.fr) and COSMER (http://cosmer.univ-tln.fr/), the laboratories of our three academic partners and some fifty associated industrial and academic partners around the world.
- R&D engineer in robotics, automation, mechatronics, autonomous embedded systems with applications in the marine and maritime fields
- R&D engineer in the field of Artificial Intelligence,
- Researcher, research fellow (after obtaining a thesis)
- Senior Lecturer (after obtaining a thesis),
- DGA specialist,
- Project manager.
Terms and conditions
Conditions of access
- Admission in M1 : No direct access. You must fill in an application form in English.
- Admission to M2 :
Students must be enrolled at the University of Toulon : you validate your M1, you can re-register at M2 level after obtaining your final results (1st and 2nd sessions). The M2 will take place at one of the three academic partners : IST-UL (Portugal), UJI (Spain), or NTNU (Norway).
Applications on https://www.master-mir.eu/
The first year of this master’s degree is the MIR programme of the Master’s degree in Complex Systems Engineering (ISC), subject to validation by the CFVU and the CA.