Competencies and objectives

 

Course context for academic year 2014-15

In this matter, the schemes and architectures for controlling a robot are presented, focusing on industrial manipulators. Within these control architectures we will emphasize in visual servoing techniques and force control. All this by practical exercises in which the students have to implement different control strategies studied.

 

 

Course content (verified by ANECA in official undergraduate and Master’s degrees)

UA Basic Transversal Competences

  • CGUA2 : Computer and information skills.
  • CGUA3 : Oral and written communication skills.

 

General Competences:>>Instrumental

  • CG2 : Make decisions in the design and planning of a robotics and/or automation project, taking into account quality and environmental criteria.
  • CG3 : Implement and maintain robotics and/or automation projects that satisfy the requirements of industrial or service applications.
  • CG6 : Analyse, synthesise problems and make decisions.

 

General Competences:>>Interpersonal

  • CG10 : Critical reasoning.
  • CG11 : Apply ethical requirements and responsibilities and the deontological code at all times.

 

General Competences:>>Systematic

  • CG12 : Capacity to apply the knowledge acquired to real situations.
  • CG13 : Capacity to work and learn autonomously.

 

Specific Competences:>>Robotics

  • CERO1 : Apply robot control, planning and programming techniques in different situations.
  • CERO7 : Understand the latest trends in robotics.

 

Specific Competences:>>Control Theory

  • CECO1 : Decide the most appropriate kind of automatic control and know how to select the correct corresponding devices, to implement a particular application.
  • CECO4 : Use the techniques and instruments required to configure controllers for robotics and automation applications.

 

 

 

Learning outcomes (Training objectives)

No data

 

 

Specific objectives stated by the academic staff for academic year 2014-15

 

Ability to determine the most appropriate control architecture for a robot.
Project control and sensory control robots using sensors such as cameras and force sensors.
Application of the acquired knowledge for planning and programming robotic systems.

 

Ability to determine the most appropriate control architecture for a robot.

Sensory control for robots using sensors such as cameras and force sensors.

Application of the acquired knowledge for planning and programming robotic systems.

 

 

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General

Code: 37807
Lecturer responsible:
POMARES BAEZA, JORGE
Credits ECTS: 3,00
Theoretical credits: 0,44
Practical credits: 0,76
Distance-base hours: 1,80

Departments involved

  • Dept: PHYSICS, ENGINEERING SYSTEMS AND SIGNAL THEORY
    Area: SYSTEMS ENGINEERING AND AUTOMATICS
    Theoretical credits: 0,44
    Practical credits: 0,76
    This Dept. is responsible for the course.
    This Dept. is responsible for the final mark record.

Study programmes where this course is taught