Advanced Robotics (CORO IMARO)
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La formation etait assez standard. Pas excellent mais pas mauvais non plus. Le rapport qualite/prix etait excellent. Il y avait beaucoup des bourses disponibles pour les etudiants. Malheureusement, le niveau des professeurs n'était pas le meilleur. ils n'ont pas eu beaucoup de temps à consacrer aux élèves et leur compétence en anglais est insuffisant.
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Master
À Nantes
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Manage or be part of a project
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Typologie
Master 1
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Lieu
Nantes
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Durée
2 Ans
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Dates de début
Dates au choix
The main objective is of this specialism is to master the modelling and control of complex robots evolving in dynamic environments by using proprioceptive and exteroceptive perception.
The focus is on advanced robotics, but more generally the specialism deals with modern techniques in systems engineering for the modelling, simulation, optimisation, analysis, and control of a variety of robotics systems. It also takes into account the modelling and perception of the environment. The quality of this Master has been recognized by the European Union by supporting the European Master on Advanced Robotics (EMARO+) in the framework of the Erasmus Mundus programme.
The programme of study lasts two academic years - denoted by M1 and M2. Advanced Robotics is one of four specialisms available within the Control and Robotics stream. Some of the M1 courses are the taught across the four specialisms whereas the M2 courses are specialism-specific. See course content for more details.
The language of instruction is English across the two years.
Précisions importantes
Documents
- MASTER CORO-IMARO_web2019.pdf
Modalité Formation continue
Les sites et dates disponibles
Lieu
Date de début
Date de début
À propos de cette formation
The main objectives are: to master the different fields of advanced robotics and intelligent robots (Kinematic and dynamic modeling, Dynamic control, Dedicated computing, Perceptual organs, Mechanical design), to take a global approach to the design and implementation of robotic systems in their environment and to have a frame of reference of application cases in fast-growing sectors (production robotics, autonomous vehicle, humanoid robotics, etc.)
Students must have: a bachelor's degree in Engineering, Science or Technology, or a 'license' qualification or equivalent. Applicants must have a good level in Mathematics and be fluent in English - written and spoken. An applicant whose native language is not English is required to pass a recognised international test of English (TEOFL, IELTS, TOEIC or Cambridge Advanced English Test). Applicants who carried out their studies in English may provide an official letter from their university stating that the language of instruction was English in place of one of the approved English tests.
This program provides good prospects for employment or further study. Former students have worked in the following feilds and sectors: Aeronautics, Automotive, Transportation, Wind and Marine Energy, Materials Producers, Consulting, Mechanical Engineering, Robotics engineering, Design, Materials, Advanced Processes, Manufacturing, Research and Innovation. Some positions that alumni have held: Mechanical Engineer, Robotics engineer, Process Engineer, Design Engineer, Research and Innovation Engineer (post PhD)
Les Avis
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La formation etait assez standard. Pas excellent mais pas mauvais non plus. Le rapport qualite/prix etait excellent. Il y avait beaucoup des bourses disponibles pour les etudiants. Malheureusement, le niveau des professeurs n'était pas le meilleur. ils n'ont pas eu beaucoup de temps à consacrer aux élèves et leur compétence en anglais est insuffisant.
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Évaluation de la formation
Recommandée
Évaluation du Centre
Panagiotis Karanikas
Les matières
- Image
- Information
- Signal filter
- Systems
- Computation
- Embedded computing
- Project
- Digital signal
- Machine Learning
- Biomedical
Professeurs
Corps enseignant École Centrale de Nantes
Nantes
Le programme
Course Content - M1
30 ECTS Credits per semester.
Language of instruction: English
Autumn Semester Courses
- Signal Processing
- Classical Linear Control
- Artificial Intelligence
- Modelling of Manipulators
- Advanced and Robot Programming
- Mechanical Design Methods in Robotics
- Modern Languages *
- Group Project
- Optimization Techniques
- Mobile Robots
- Dynamic Model Based Control
- Software Architecture for Robotics
- Computer Vision
- Modern Languages *
* 'French as Foreign Language' except for French native speakers who will study 'Cultural and Communicational English'
NB Course content may be subject to minor changes
Course Content - M2
30 ECTS Credits per semester
Language of instruction: English
Autumn Semester Courses
- Advanced modelling of robots
- Research methodology
- Sensor-based control of complex robots
- Advanced visual geometry ±
- Humanoid robots ±
- From human motion to humanoid control ±
- Autonomous vehicle ±
- Optimal kinematic design ±
- Modern Languages *
- Conferences
* 'French as Foreign Language' except for French native speakers who will study 'Cultural and Communicational English'
± Elective courses (choose 3 out of 5)
Spring Semester
Master thesis / internship
Examples of previous internships in industry:
- Control and Navigation Strategies in Uncertain Environments with Human Operators (AGI)
- Obstacle and self-collision avoidance with a dual-arm Manipulator (AGI)
Examples of previous internships in research labs:
- Off road platooning
- Optimum Design, Prototyping and Control of a 6-dof Cable Driven Parallel Robot with a large orientational workspace
- Analysis of human walking behavior to improve humanoid walking patterns
NB Course content may be subject to minor changes
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Advanced Robotics (CORO IMARO)