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Space Education Catalogue

Courses

Master image, robotique, ingénierie pour le vivant

Course Details

Objectives : The Automation and Robotics (AR) and Topography and Photogrammetry (Topo) courses are open to full-time students:
- a first year of a master's degree in electrical engineering, mechanical engineering, mechatronics, and plastics processing (AR course);
- a first year of a master's degree in topography (Topo course).
Any other complete M1 or M2 level course may be admitted on an equivalent basis, subject to a positive examination of the file including verification of the prerequisites by the admissions jury.

Degree Level (EU) : 7 - (EQC level or equivalent)

Prerequisites : The Automation and Robotics (AR) and Topography and Photogrammetry (Topo) courses are open to full-time students:
- a first year of a master's degree in electrical engineering, mechanical engineering, mechatronics, and plastics processing (AR course);
- a first year of a master's degree in topography (Topo course).
Any other complete M1 or M2 level course may be admitted on an equivalent basis, subject to a positive examination of the file including verification of the prerequisites by the admissions jury.

Acquired skills during the training : Automatic and robotic course:
The AR course offers teaching focused on advanced control techniques (optimal control, robust control, predictive control, nonlinear control), on robotics (manipulation robotics and mobile robotics), on vision (image processing and control by vision) as well as an opening towards industrial computing (real-time systems and embedded systems, industrial networks).
SKILLS :
- model, identify, simulate and control a complex system,
- program a digital control law and an automation and supervision system,
- model, program and control an industrial robot and a mobile robot,
- program a real-time embedded system,
- model, synthesize and program a control law by vision.

Topography and photogrammetry course
The Topo course aims to provide students with the following skills:
- implement georeferenced data acquisition devices (images and point clouds),
- design, evaluate and optimize a georeferenced data acquisition and processing chain,
- structure, represent, visualize geographic information,
- model the urban environment and heritage in 3D.

Dedicated web site : https://www.insa-strasbourg.fr/fr/master-image-robotique-ingenierie-pour-le-vivant/?menu=formation&parent_label=Masters

Disciplines

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