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Course description
  SENSING SYSTEMS

Competencies and objectives

 

Course context for academic year 2018-19

Every autonomous system, be it a robot or an automation system, requires obtaining information from its own environment to make decisions. This information is obtained by perception systems, which include multiple sensors capable of obtaining that information. The sense that more information provides to the human being is the view. It is the main perception system for the human being, and also for an autonomous system. From this perception system it is possible to acquire images of one or several objects in a scene that, processed and segmented conveniently, allow to extract characteristics that can be used to identify and recognize what objects are in the scene, or whether they have defects or not or anomalies. The subject tries to describe the vision systems, ranging from the acquisition of the image to its processing in order to obtain useful features of the scene that allow the automatic control of any system, or simply the monitoring, inspection or recognition of elements of its environment. In addition, throughout the course other types of sensory systems used in robotics and automation are described that allow to equip these systems with intelligence.

 

 

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

UA Basic Transversal Competences

  • CGUA2 : Computer and information skills.

 

General Competences:>>Instrumental

  • CG1 : Advise on the choice, acquisition, and implementation of robotic and/or automated systems for different applications.
  • 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.

 

General Competences:>>Systematic

  • CG12 : Capacity to apply the knowledge acquired to real situations.
  • CG13 : Capacity to work and learn autonomously.
  • CG14 : Capacity to adapt to new situations, promoting creativity and an entrepreneurial spirit.

 

Specific Competences:>>Vision

  • CEVI1 : Analyse and know how to apply tools and techniques that allow visual information to be gathered and processed and know which are the best for the particular field of application and context.
  • CEVI2 : Use specific computer and software tools for processing information obtained from visual sensors.
  • CEVI3 : Understand and master 3D reconstruction and measurement methods, as well as movement in a scene using digital images.
  • CEVI4 : Apply specific methods, techniques and instruments for the acquisition and formation of images.

 

Specific Competences:>>Sensory

  • CESE1 : Be able to select the best characteristics for perception systems, according to application in different contexts and areas of industrial or service automation.
  • CESE2 : Analyse and understand the importance and applicability of perception systems in sensorisation processes for robotic and automatic systems.
  • CESE3 : Be able to configure sensors, hardware and software, as well as all the elements making up perception systems.
  • CESE4 : Analyse and optimise the design of a measurement acquisition system to obtain the required precision and accuracy.
  • CESE5 : Evaluate the importance of sensorial system measurement limits on the significance of the results obtained.

 

 

 

Learning outcomes (Training objectives)

No data

 

 

Specific objectives stated by the academic staff for academic year 2018-19

  • Be able to choose the most appropriate characteristics that a perception system must have according to its application in different areas and areas of industrial automation or services.
  • Analyze and understand the importance and applicability of perception systems in sensorization processes in robotic or automatic systems.
  • Be able to configure sensors, hardware and software, as well as all the elements that constitute a perception system.
  • Analyze and know how to apply the tools and techniques that allow the extraction and processing of visual information and know how to choose which are the most appropriate according to the field of application and the environment.
  • Handle computer tools and specific software for the processing of images obtained by visual sensors.
  • Know and understand the methods of reconstruction and measurement of the 3D structure as well as movement in a scene from digital images.
  • Apply specific methods, techniques and instruments for image acquisition and training.

 

 

General

Code: 37803
Lecturer responsible:
GARCIA GOMEZ, GABRIEL JESUS
Credits ECTS: 6,00
Theoretical credits: 1,20
Practical credits: 1,20
Distance-base hours: 3,60

Departments involved

  • Dept: PHYSICS, ENGINEERING SYSTEMS AND SIGNAL THEORY
    Area: SYSTEMS ENGINEERING AND AUTOMATICS
    Theoretical credits: 1,2
    Practical credits: 1,2
    This Dept. is responsible for the course.
    This Dept. is responsible for the final mark record.

Study programmes where this course is taught