Objectives: This Master addresses automated systems, deployed in industry or innovative robotic concepts, covering the entire multidisciplinary spectrum Automatics - Computing - Artificial Intelligence - Electronics - Mechanics.
The training offers a common Master 1 year presenting a base of scientific and technical skills in all the disciplines that contribute to automated systems and robotics. The Artificial Perception and Robotics course in M2 prepares students for industrial positions within the framework of R&D or within the framework of numerous innovative companies in Robotics.
Intended for: Entry into M1:
• Holders of a national diploma conferring the degree of License in a field of training compatible with that of the Master, that is to say a multidisciplinary course having addressed, even if at least, the fields of Electrical Engineering - Engineering Computer Science - Mechanical Engineering.
• Holders of a Professional License in a field of training compatible with that of the Master
• Foreign students holding a diploma equivalent to a License in a field of training compatible with that of training.
Entry into M2:
• Students who have completed a 1st year of a national diploma conferring the degree of Master or a second year in engineering, in a clearly identified field "Automated systems" - "Robotics".
• Foreign students holding a diploma at least equivalent to a 1st year of a Master's degree, with the same requirement for the field of study.
Degree Level (EU) : 7 - (EQC level or equivalent)
Acquired skills during the training : multidisciplinary training (Automation - IT - Artificial intelligence - Electronics - Mechanics) to understand and be able to manage the different facets of an integrated project.
The skills transmitted aim to:
• Know the state of the art of research carried out in the field of Robotics (modeling of machine and robot mechanisms, machine optimization and learning, image processing, multi-sensory data fusion, control of robotic systems)
• Design, produce and experimentally validate prototypes of autonomous robots (ROS middleware, autonomous vehicles, mobile manipulators for the factory of the future, robotic systems for the hospital of the future, etc.)
• Developing its own Research or R&D activity in a collaborative and international context.
• Master the tools and methods for scientific communication.
Targeted careers : Study-research-development engineer, Study engineer, Robotics project engineer, Software development engineer,
Duration and terms: 2 years for entry into M1.
10 months of internship in a company or in a laboratory over the 2 years of the training:
• 4 to 5 months internship in Master 1
• 6 months internship in Master 2.
Partnerships with national organisations: Campus Aéronautique Auvergne Rhône Alpes
Dedicated web site: https://www.uca.fr/formation/nos-formations/par-ufr-ecoles-et-iut/institut-des-sciences/ecole-universitaire-de-physique-et-dingenierie/master/master-automatique-robotique