SPECIALIZED MASTER'S DEGREE® IN COLLABORATIVE ROBOTICS - EXPERT IN COLLABORATIVE ROBOTICS FOR THE INDUSTRY OF THE FUTURE

SPECIALIZED MASTER'S DEGREE® IN COLLABORATIVE ROBOTICS - EXPERT IN COLLABORATIVE ROBOTICS FOR THE INDUSTRY OF THE FUTURE (banner)

The ColRobot Specialized Master's® program is part of the Industry of the Future Alliance's approach to training robotics experts, building on enhanced skills in innovative robotics and, more specifically, collaborative robotics.

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It offers the opportunity to acquire skills in formulating requirements for emerging industrial technologies and production tools, and in the design, implementation, and operation of safe, agile robotic cells.

The program was ranked 12th in the Mobility and Transportation category of the EDUNIVERSAL ranking of the best Master's, MS, and MBA programs for 2024.

PROGRAM

Approximately 400 hours of training applied to case studies and site visits, including six specific modules and a mini-project, delivered at the Arts et Métiers campus Arts et Métiers Lille (from October to March).

Module M1: Fundamentals of industrial production systems (70 hours)

  • M1-1 Need, definition, and components of an agile cell
  • M1-2 Designing an agile cell
  • M1-3 Acceptability of solutions / Place of humans
  • M1-4 Safety provisions and developments in robotics
  • M1-5 Case study

Upon completion of Module 1, graduates will be able to:

  • Decoding, formulating, and reformulating the need for emerging industrial production tools
  • Analyze an existing system
  • Organize functions, propose a functional architecture, compare architectures
  • Define and organize functional chains, technical functions, and associated technologies; evaluate costs and deadlines; estimate a budget.
  • Formalize, then verify through simulation the spatial and temporal behavior of an automatic system.
  • Prepare all or part of the implementation file, test file, and system file provided to the customer.
  • Placing people at the center of agile cell organization
  • Designing safe collaborative robotic cells.
  • Ensure that facilities are accepted by certification and labor inspection organizations.   

Module M2 – Digital Factory and Connected Factory (46 hours)

  • M2-1 Robotics Development Environment
  • M2-2 Facility management and control
  • M2-3 Connected factory: developments

Upon completion of Module 2, graduates will be able to:

  • Create and validate manufacturing processes by choosing digital technology to optimize the implementation of industrial production tools, simulate their operation and flows, and optimize workstation ergonomics.
  • Define a production system that improves the company's economic performance.
  • Take into account technological innovation in information systems   

Module M3 – Modeling and Control of Robotic Systems (42 hours)

  • M3-1 Methodology for modeling and identification/calibration of robotic cells
  • M3-2 Robot control
  • M3-3 Path planning/generation in robotics

We use RoboDK software for offline programming of industrial robots.

Upon completion of Module 3, graduates will be able to:

  • Modeling a robotic system
  • Identify a robot model
  • Set the main parameters for axis control
  • Formalize, then verify by simulation the spatial and temporal behavior of a servo system; implement a servo system based on an external measurement.
  • Knowing how to synthesize and adjust a trajectory   

Module M4 – Robotics Programming (35 hours)

  • M4-1 Operating industrial robots
  • M4-2 Advanced Programming

Upon completion of Module 4, graduates will be able to:

  • Mastering the basics of industrial robot programming
  • Mastering software tools for offline programming of industrial robots

Module M5 – Advanced Robotics (49 hours)

  • M5-1 Sensor-referenced control: Vision, force feedback
  • M5-2 Design/control of actuators in robotics
  • M5-3 Mobile robotics: localization and safety management technologies
  • M5-4 Machine learning

Upon completion of Module 5, graduates will be able to:

  • Selecting an industrial vision-based process control system suited to production constraints
  • Implement explicit effort feedback to achieve guidance, integration, etc.
  • Know the state of the art and the basics of machine learning techniques

Module M6 – Innovations in Robotics and Self-Learning (35 hours)

  • M6-1 Innovation Management
  • M6-2 Innovation in Manipulation Robotics
  • M6-3 Innovation in mobile robotics
  • M6-4 Innovation in service robotics

Upon completion of Module 6, graduates will be able to:

  • Combining robot intelligence with human intelligence to offer new services

Module M7 – Cell Design and System Integration (120 hours)

Practical training (industrial sequence)

Six-month operational internship in a company from April to the end of September.
Completion or monitoring of a project leading to the writing of a professional thesis.

CALENDAR

  • Online applications starting in January
  • Duration: 400 hours of training
  • Teaching period: October/March
  • Professional period: April/September

ASSESSMENT METHODS

  • Continuous assessment of knowledge and learning outcomes, written exams, and defense of a professional thesis before a jury.
  • Graduation rate: 95%

KEY FEATURES

  • This technological training program in robotics is the first in France to develop the theme of collaboration and human-machine interaction.
  • Strong industrial partnership, ensuring that training meets the needs of businesses.
  • Supervision of the professional thesis project by an industry representative and a teacher
  • Training backed by research from the LISPEN laboratory
  • The MS Colrobot received the award for the launch of the EDUNIVERSAL 2024 ranking of the best master's, MS, and MBA programs.
  • Ranked 12th in the Eduniversal 2024 ranking of the best Masters, MS & MBA programs + ranked No. 2 in Technology and Industrial Management in the "Hauts-de-France" ranking
  • Company satisfaction rating: 5/5

OUTLETS

Professions

The main sectors concerned are: automotive, aerospace, rail, naval, agri-food, luxury goods, oil and gas, medical, mechanical, metallurgy, electrical, digital, IT, and energy equipment.
Robotics engineers may take on the following roles:

  • Robotics Project Manager (R&D, Methodology)
  • Operations manager and/or robotic maintenance manager for an industrial site
  • Robotics expert in national and international institutions
  • Entrepreneur focused on innovation and new uses for robotics
  • 83% of learners found a job within 6 months of graduating

Industrial and institutional support

The Industry of the Future Alliance, Kuka Robotics and Automation France, Kuka Systems Aerospace, CETIM, CEA List, CITC EuraRFID, BA Systèmes, Thales Alenia Space, Renault SAS, Blue Frog Robotics.

Employment rate : 83%

SKILLS ACQUIRED

Trained executives must be able to work in various fields associated with manufacturers and operators of robotic systems. The skills acquired can be broken down as follows:

  • Needs analysis; value creation analysis
  • Innovative spirit and methods; technology watch
  • Communication and management
  • Knowledge of robotics (types of structures, how robots work, control/command)
  • Design methods for collaborative robotic cells and knowledge of the accompanying standards
  • Knowledge of technologies associated with robotics (vision, force measurement, distance scanner, effectors)
  • Knowledge of robotics programming and associated HMIs

ADMISSION REQUIREMENTS AND PROCESS

PUBLIC

  • Employees
  • Students
  • Job seekers

PREREQUISITES

  • Engineering or university degree (5 years of higher education)
  • Bachelor's degree with at least 3 years of professional experience
  • Equivalent foreign degree
  • Possible exemption

ADMISSION PROCESS

Teaching methods

In-person, 6 months of theoretical training and 6 months of immersion in a company through an internship or professional training contract, when conditions allow.

Accessibility

This training course may be accessible to people with disabilities. If you are affected, please contact us to see if specific support can be provided.

Bridge program and/or equivalency

Graduates can continue their studies at the doctoral level.

TRAINING COSTS

  • €12,500 not subject to VAT
    These fees include classes, written materials, and educational support.
    Application fee: €75
  • Training may be eligible for funding depending on the trainee's situation and various criteria.
    Several solutions are available: Professionalization Contract, Transition Pro, CPF, Pôle Emploi, etc. To find out what funding you are eligible for and how to access it, please contact us by email at:ContactAMTALENTS@ensam.eu

Program language: French

ECTS credits: 75

CONTACTS

Richard Bearee Program Director:ms-colrobot.lille@ensam.eu
Tel. +33 (0)3 20 62 27 53 / +33 (0)3 20 62 21 63
Address: 8, Boulevard Louis XIV - 59046 - Lille

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