M2 Smart Aerospace and Autonomous Systems

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  • Places available
    28
  • Language(s) of instruction
    English
Présentation
Objectives

The important application potential of Autonomous Systems and Smart Aerospace vehicles has helped them to become the new focus of education. The last decade has seen a significant increase in Research in Smart Aerospace and Autonomous Systems. Now, the field is sufficiently mature to engage in a procedure of education. Recently, the application of autonomous systems is finding its way into industries and even into the everyday life of people. One can mention several examples such as robotic helicopters for surveillance, aerial photography or farm spraying, cars that park themselves, robotic vacuum cleaners,... It is becoming more important that our students learn about autonomous systems and our engineers have information resources for designing, analyzing and controlling these systems. Since most of the robotic masters deal only with conventional robots, nowadays, students do not have a chance to learn about autonomous systems and engineers who design autonomous robots have to resort to extracting information from research literature to design them, which is tedious for them. The present master provides the theories and methods that are useful for understanding and designing autonomous systems to students and engineers in a form that is detailed and easy to follow. The purpose of this master is to render the students and engineers familiar with the methods of modeling/ analysis/ control that have been proven efficient through research. Similar to the conventional robotic manipulators, the autonomous systems are multidisciplinary machines and can be studied from different points of view. Autonomous systems can also be studied from the artificial intelligence point of view. Covering all these aspects of autonomous systems in one master is almost impossible and each of these aspects has their own audience. For these reasons, the scope of the present master is the mechanics and control of autonomous systems. The master covers the kinematic and dynamic modeling, analysis of autonomous systems as well as the methods suitable for their control. The key feature of the present master is its content which has never been gathered within one master and has never been presented in a form useful to students and engineers. The present master contains the theoretical tools necessary for analyzing the dynamics and control of autonomous systems in one place. The topics that are practical and are of interest to autonomous robot designers have been picked from advanced robotics research literature. These topics are sorted appropriately and will form the contents of the master.

Location
EVRY
Course Prerequisites

Qualification in aeronautics, Electrical engineering, Computer science engineering, Systems engineering or mechanical engineering

Skills
  • Identify and characterise a problem in the modeling and control of aerial vehicles (Proficiency).

  • Understand the communication challenges inherent in a complex aerial system.

  • Be able to select and analyse a multi-sensor perception and localisation system

  • Understand the theoretical aspects and apply them individually or in groups.

Career prospects

This Master is designed to promote a high quality educational offer in the domain of autonomous systems and robotics systems. After graduation, the students will master competences of different areas of this multidisciplinary area: electrical engineering, computer and science engineering, mechanical and science engineering and general training. Students, after passing their master, will have the following skills:

Scientific and technical knowledge of autonomy engineering and the skills to use this knowledge effectively
Capacity to develop and design innovative autonomous systems
Capacity to work both independently and in multidisciplinary teams, to communicate by written and oral presentations, in an international context
Capacity to transfer high techniques methodology from university to industry
Competency to manage an engineering team
Ability to understand different European cultures and languages.

Potential jobs are :
* Drone Development for fire and rescue (forest fires, emergency rescue…),
* Energy sector (oil and gas industry distribution infrastructure, electricity grids/distribution network monitoring),
* Agriculture – forestry - fisheries (environmental monitoring, crop dusting, fisheries protection…),
* Earth observation – remote sensing (climate monitoring, aerial photography, seismic events, pollution monitoring …),
*Autonomous vehicles
* Embedded systems
* Communication – broadcasting,

Collaboration(s)
Laboratories

Informatique, Biologie Intégrative & Systèmes Complexes
Laboratoire de Mécanique et d'Energétique d'Evry.

Poznan University of Technology.

Programme

Ce parcours est enseigné uniquement en langue anglaise.
The important application potential of Autonomous Systems and Smart Aerospace vehicles has helped them to become the new focus of education. The last decade has seen a significant increase in Research in Smart Aerospace and Autonomous Systems. Now, the field is sufficiently mature to engage in a procedure of education. Recently, the application of autonomous systems is finding its way into industries and even into the everyday life of people. One can mention several examples such as robotic helicopters for surveillance, aerial photography or farm spraying, cars that park themselves, robotic vacuum cleaners,... It is becoming more important that our students learn about autonomous systems and our engineers have information resources for designing, analyzing and controlling these systems. Since most of the robotic masters deal only with conventional robots, nowadays, students do not have a chance to learn about autonomous systems and engineers who design autonomous robots have to resort to extracting information from research literature to design them, which is tedious for them. The present master provides the theories and methods that are useful for understanding and designing autonomous systems to students and engineers in a form that is detailed and easy to follow.

Subjects ECTS Lecture directed study practical class Lecture/directed study Lecture/practical class directed study/practical class distance-learning course Project Supervised studies
Sensors fusion 3 12 10 8
Integrated navigation systems 3 12 10 8
Advanced artificial perception 3 12 10 8
Subjects ECTS Lecture directed study practical class Lecture/directed study Lecture/practical class directed study/practical class distance-learning course Project Supervised studies
Language 3 30
Flight modelling and simulation 3 12 10 8
Aerial robots 3 12 10 8
Subjects ECTS Lecture directed study practical class Lecture/directed study Lecture/practical class directed study/practical class distance-learning course Project Supervised studies
Mission Coordination 3 12 10 8
Flight communications 3 12 10 8
Embedded software 3 10 12 8
Subjects ECTS Lecture directed study practical class Lecture/directed study Lecture/practical class directed study/practical class distance-learning course Project Supervised studies
Mission decision making 3 12 10 8
Flight planning 3 12 10 8
Flight control 3 12 10 8
AI and Aerospace systems 3 12 10 8

Les étudiants qui font le choix de rester en France, effectuent un projet d'études pendant un mois, puis un stge de 6 mois en entreprise ou laboratoire de recherches.

Subjects ECTS Lecture directed study practical class Lecture/directed study Lecture/practical class directed study/practical class distance-learning course Project Supervised studies
Project 1-2 3 50
Elective courses/Individual project 3 50
Subjects ECTS Lecture directed study practical class Lecture/directed study Lecture/practical class directed study/practical class distance-learning course Project Supervised studies
Master's thesis 24 6
Modalités de candidatures
Application period
From 01/02/2021 to 09/07/2021
From 15/08/2021 to 30/08/2021
Compulsory supporting documents
  • Curriculum Vitae.

  • Motivation letter.

  • Rank of previous year and size of the promotion.

  • All transcripts of the years / semesters validated since the high school diploma at the date of application.

Additional supporting documents
  • Certificate of English level (compulsory for non-English speakers).

  • Curriculum EU (description of the units of education followed) of the last two years.

  • Choice sheet of M2 (obligatory for the candidates registered in M1 at the University Paris-Saclay) to download on https://www.universite-paris-saclay.fr/en/admission/apply-master-programmes.

  • VAP file (obligatory for all persons requesting a valuation of the assets to enter the diploma).

  • Copy diplomas.

Contact(s)
Course manager(s)
Naïma AIT OUFROUKH - naima.aitoufroukh@univ-evry.fr
Administrative office
Marie-Laure Marchand - marielaure.marchand@univ-evry.fr
Admission