Guías Docentes Electrónicas
1. General information
Course:
INDUSTRIAL ROBOTS
Code:
56506
Type:
CORE COURSE
ECTS credits:
6
Degree:
417 - UNDERGRAD. IN INDUSTRIAL ELECTRONICS AND AUTOMAT. ENGINEERING
Academic year:
2022-23
Center:
602 - E.T.S. INDUSTRIAL ENGINEERING OF C. REAL
Group(s):
20 
Year:
3
Duration:
C2
Main language:
Spanish
Second language:
English
Use of additional languages:
English Friendly:
Y
Web site:
Bilingual:
N
Lecturer: ANDRES SALOMON VAZQUEZ FERNANDEZ PACHECO - Group(s): 20 
Building/Office
Department
Phone number
Email
Office hours
Edificio Politécnico 2-B02
INGENIERÍA ELÉCTRICA, ELECTRÓNICA, AUTOMÁTICA Y COMUNICACIONES
Vía Teams
andress.vazquez@uclm.es

2. Pre-Requisites
Not established
3. Justification in the curriculum, relation to other subjects and to the profession
Not established
4. Degree competences achieved in this course
Course competences
Code Description
CB01 Prove that they have acquired and understood knowledge in a subject area that derives from general secondary education and is appropriate to a level based on advanced course books, and includes updated and cutting-edge aspects of their field of knowledge.
CB02 Apply their knowledge to their job or vocation in a professional manner and show that they have the competences to construct and justify arguments and solve problems within their subject area.
CB03 Be able to gather and process relevant information (usually within their subject area) to give opinions, including reflections on relevant social, scientific or ethical issues.
CB04 Transmit information, ideas, problems and solutions for both specialist and non-specialist audiences.
CB05 Have developed the necessary learning abilities to carry on studying autonomously
CEE09 Knowledge of the principles and applications of robotic systems.
CG03 Knowledge of basic and technological subjects to facilitate learning of new methods and theories, and provide versatility to adapt to new situations.
CG04 Ability to solve problems with initiative, decision-making, creativity, critical reasoning and to communicate and transmit knowledge, skills and abilities in the field of industrial engineering.
CG06 Ability to handle specifications, regulations and mandatory standards.
CT01 Knowledge of a second language.
CT02 Knowledge and application of information and communication technology.
CT03 Ability to communicate correctly in both spoken and written form.
5. Objectives or Learning Outcomes
Course learning outcomes
Description
Ability to use the main programming languages of industrial robots.
Knowledge of the work space of a robot and its limitations.
Knowledge of applications of industrial robots.
Ability to apply the main software tools for robots.
Capacity to generate paths within the work environment.
Capacity to identify different types of robots.
Capacity to dynamically model the structure of a rigid robot.
Additional outcomes
Not established.
6. Units / Contents
  • Unit 1: Introduction
  • Unit 2: Robot Morphology
  • Unit 3: Mathematical Tools
  • Unit 4: Robot Kinematics
  • Unit 5: Differential Kinematics
  • Unit 6: Static Forces in Manipulators
7. Activities, Units/Modules and Methodology
Training Activity Methodology Related Competences (only degrees before RD 822/2021) ECTS Hours As Com Description
Class Attendance (theory) [ON-SITE] Lectures CB01 CB02 CB03 CEE09 CG03 CG06 1.2 30 N N
Problem solving and/or case studies [ON-SITE] Problem solving and exercises CB01 CB02 CB03 CEE09 CG03 CG04 CG06 0.4 10 Y Y
Laboratory practice or sessions [ON-SITE] Practical or hands-on activities CB01 CB02 CB03 CB04 CB05 CEE09 CG03 CG04 CG06 CT02 CT03 0.6 15 Y Y
Final test [ON-SITE] Assessment tests CB01 CB02 CB03 CB04 CB05 CEE09 CG03 CG04 CG06 CT01 CT03 0.2 5 Y Y
Study and Exam Preparation [OFF-SITE] Self-study CB01 CB02 CB03 CB04 CB05 CEE09 CG03 CG04 CG06 CT01 CT02 CT03 3.6 90 N N
Total: 6 150
Total credits of in-class work: 2.4 Total class time hours: 60
Total credits of out of class work: 3.6 Total hours of out of class work: 90

As: Assessable training activity
Com: Training activity of compulsory overcoming (It will be essential to overcome both continuous and non-continuous assessment).

8. Evaluation criteria and Grading System
Evaluation System Continuous assessment Non-continuous evaluation * Description
Laboratory sessions 25.00% 25.00%
Projects 35.00% 35.00%
Final test 40.00% 40.00%
Total: 100.00% 100.00%  
According to art. 4 of the UCLM Student Evaluation Regulations, it must be provided to students who cannot regularly attend face-to-face training activities the passing of the subject, having the right (art. 12.2) to be globally graded, in 2 annual calls per subject , an ordinary and an extraordinary one (evaluating 100% of the competences).

Evaluation criteria for the final exam:
  • Continuous assessment:
    Evaluation criteria not defined
  • Non-continuous evaluation:
    Evaluation criteria not defined

Specifications for the resit/retake exam:
Evaluation criteria not defined
Specifications for the second resit / retake exam:
Evaluation criteria not defined
9. Assignments, course calendar and important dates
Not related to the syllabus/contents
Hours hours
Class Attendance (theory) [PRESENCIAL][Lectures] 30
Problem solving and/or case studies [PRESENCIAL][Problem solving and exercises] 10
Laboratory practice or sessions [PRESENCIAL][Practical or hands-on activities] 15
Final test [PRESENCIAL][Assessment tests] 5
Study and Exam Preparation [AUTÓNOMA][Self-study] 90

Global activity
Activities hours
10. Bibliography and Sources
Author(s) Title Book/Journal Citv Publishing house ISBN Year Description Link Catálogo biblioteca
A. Barrientos, L.F. Peñín, C. Balaguer y R. Aracil. Fundamentos de Robótica Mc Graw-Hill 978-8448156367 2007  
ABB Manual de RobotStudio 2013 http://www.abb.es/product/seitp327/df90f6fe2c1ffc64c125725100252d4d.aspx?productLanguage=es&country=ES  
Bruno Siciliano HandBook of Robotics Springer 978-3540303015 2008  
J.J. Craig. Introduction to Robotics Addison-Wesley 978-1292164939 1998  
Peter Corke ROBOTIC TOOLBOX 2008 https://petercorke.com/toolboxes/robotics-toolbox/  
Richard M. Murray A Mathematical Introduction to Robotic Manipulation CRC 978-0849379819 1994 http://www.cds.caltech.edu/~murray/mlswiki  
The MathWorks MATLAB Reference Guide 1993 https://es.mathworks.com/help/matlab/  



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