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Automation, robotics, sensors - 2019

Fundamentals of robotics


This training is intended to provide the general and basic principles of robotics. They will be tackled through the two main aspects which are at its core: industrial and service robotics.


The training length is 5 days (30 hours) and relies on the robotic resources provided by the Toulouse AIP-PRIMECA. The 30 hours are organized as follows:

  • 16h devoted to technical lectures, illustrated by practical examples
  • 14h devoted to real world applications


The training provides a simple approach to robotics, presenting both the theoretical and practical concepts which are at the core of this domain. Thus, it first focuses on the fundamental concepts which allow to model and control a robotic system through lectures, before applying them through different practical works on the robotic systems available at AIP-PRIMECA.



This training is intended for experienced technicians or general engineers who are willing to discover robotics. The required background covers the following topics:

  • Basic knowledge in programming (C/C++ language, …)
  • System control theory
  • Classical engineering mathematical tools (derivative, matrix algebra, etc.).


Michel TAÏX:
Associated Professor at Paul Sabatier University.
Research scientist in robotics (Gepetto Team, LAAS-CNRS).

Viviane CADENAT:
Associated Professor at Paul Sabatier University.
Research scientist in robotics (Robotics, Action, Perception (RAP) Team, LAAS-CNRS).


  • The robotic general problematic
  • Industrial robotics
    • Mechanical architecture for the motion
      • Mechanical chains
      • Sensors, actuators
    • Industrial manipulator arm modeling
      • Kinematics
      • Differential kinematics
      • Dynamics
    • Manipulator arms Control
      • Joint space control
      • Cartesian space control
      • Sensor-based control
    • Trajectory planning
      • Basic principles
      • Industrial solutions
    • Integration of robots in an industrial chain
  • Service robotics
    • The navigation problem
    • Modelling and control of mobile robots
      • The different mechanical structures
      • Classical industrial models
      • Mobile robots control
    • Mobile robot localization
      • Proprioceptive sensor based approach
      • Exteroceptive sensor based approach
    • Motion planning
      • Deterministic approach
      • Probabilistic approach
  • Practical works illustrating these concepts will be experimented on real industrial and mobile robots
    • Implementation of a classical " pick and place " industrial task on a 6 degrees of freedom (Staübli or Kuka) manipulator arm
    • Implementation of a navigation task on turtlebot mobile robots
    • Use of the Matlab Robotics Toolbox, a powerful and simple simulation tool


Scheduled in French:

TOULOUSE: 2 to 6 March 2020

(Initially scheduled from 14 to 18 October 2019)


For the English realization, please, consult us.


€2,580 excluding tax (20% VAT)

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