XSL Content

Robotics25998

Centre
Faculty of Engineering - Gipuzkoa
Degree
Bachelor's Degree in Industrial Electronics and Automation Engineering
Academic course
2024/25
Academic year
3
No. of credits
6
Languages
Spanish
Basque
Code
25998

TeachingToggle Navigation

Distribution of hours by type of teaching
Study typeHours of face-to-face teachingHours of non classroom-based work by the student
Lecture-based3030
Applied classroom-based groups1224
Applied laboratory-based groups1836

Teaching guideToggle Navigation

Description and Contextualization of the SubjectToggle Navigation

Robotics has no prerequisites in the curriculum to access it. However, in order to achieve the skills of this subject, it is recommended to have completed the following subjects : Foundations of Computer Science (1st year) and Industrial Electronics (2nd year).



Taken into account currently situation, this subject will be adapted with regard to new needs. If necessary virtual resources and evaluation will be included.



As far as future occupation is concerned, the subject is focused so that graduates can achieve the skills to integrate in their professional life this horizontal technology, which is applicable to many types of processes. The main applications that can be considered in this area are: Management of Automatic Production Process, Management of Technical Office, Management and Control of Energy, Intelligent Systems, Coordination of Integrated Security Systems, Management of Maintenance, Equipment for Manufacturing, Electrical machines, Robotics, Research and Development, etc.



Skills/Learning outcomes of the subjectToggle Navigation

Knowledge of principles and applications of robotic systems.



Knowledge and capacity for modeling and designing of robotic systems.



Ability to analyze and design control systems for robotic systems.





Theoretical and practical contentToggle Navigation

Topic 1: Introduction



Topic 2 : Applications



Topic 3 : Programming robots



Topic 4 : Morphology of the robot



Topic 5 : Spatial Location



Topic 6: Robot Modeling



Topic 7: Control systems for industrial robots



Topic 8: Intelligent Robotics



MethodologyToggle Navigation

Active methodologies will be followed, in particular, the projects-based learning (PBL). On the one hand, during lectures in order to assimilate concepts real problems will be presented for students to solve them. Moreover, in the laboratory more complex problems (projects) will be proposed.



Assessment systemsToggle Navigation

  • Continuous Assessment System
  • Final Assessment System
  • Tools and qualification percentages:
    • Multiple-Choice Test (%): 20
    • Individual works (%): 10
    • Team projects (problem solving, project design)) (%): 50
    • Exhibition of works, readings ... (%): 10
    • Attendance (%): 10

Ordinary Call: Orientations and DisclaimerToggle Navigation

There are two assessment methods: continuous assessment, and through final exams. During the semester there will be continuous assessment, if the student wishes to renounce to the continuous assessment in order to carry out the final evaluation, she/he must submit the request according to the current regulations and deadlines. In the subject both the theory part and the laboratory part will be assessed.



The assessment scores are as follows:

- Theory: exam: 20%.

- Laboratory: delivery of works, issues and problems throughout the year: 10%.

- Laboratory: delivery of laboratory reports, works, and oral presentations throughout the year: 70 %. In the laboratory it is compulsory: attendance (10 % of the final grade) and delivery (50 % of the final grade) and presentation (10 % of the final grade) of all the required works and practices. If this is not fulfilled, students must take a final laboratory exam.



In any case, to pass the subject it is necessary to pass independently both the theory part and the laboratory part. In order to achieve this, it is necessary to pass every part of the evaluation. If only one full part (theory or laboratory) is passed and the other is not, the final grade will be “failing grade”.



Students who have passed in the ordinary call only one full part of the subject (theory or laboratory) and not the other part, will have the option to take the resit in the same year only for the part not passed.



Students who want to have “not shown” in the final grade (resignation) in the ordinary call can achieve it by:

1. – Asking the lecturer by e -mail or letter at least 10 days before the start date of the official exams period.

2. Not attending lessons.

3. Not delivering all due works.

4. Not taking the required exams.





During lessons the use of mobile devices is not allowed. In laboratory lessons students are asked to work responsibly. If any student interferes in the normal course of lessons, she/he can lose the score of the laboratory part.

Extraordinary Call: Orientations and DisclaimerToggle Navigation

The assessment is through final exams in the resit (extraordinary call). In the subject they will be assessed both the theory part and the laboratory part.



In the resit (extraordinary call) through final exams the assessment scores are as follows:

- Theory: final exam 20%.

- Laboratory: final exam 80%.



To pass the subject it is necessary to pass independently both the theory part and the laboratory part. In order to achieve this, it is necessary to pass every part of the evaluation. If only one full part (theory or laboratory) is passed and the other is not, the final grade will be “failing grade”.



The no-showing to the examination sitting will be considered a resignation (“not shown” in the final grade).

Compulsory materialsToggle Navigation

Students are provided with a comprehensive set of learning/working/reading resources that are available through the e-gela platform.

BibliographyToggle Navigation

Basic bibliography

- Building Robots with lego Mindstorms, M. Ferrari, G. Ferrari, R. Hempel. Syngress publishing.

- Fundamentos de Robótica, Barrientos y cols., Ed. McGraw Hill,1997

- Robótica Industrial, G. Ferraté y cols., Ed. Marcombo, 1986

- Robotica: Manipuladores y Robots Móviles. A. Ollero. Ed. Marcombo

- Craig, J.J., 1989, Introduction to robotics, mechanics and control (2nd Ed.). Addison-Wesley, Reading, MA

- Control de Manipuladores Robóticos. Oscar Barambones. Apuntes del profesor.

In-depth bibliography

- Introduction to Robotics. Phillip John McKerrow. Ed. Addison-Wesley, 1993.
- Robótica: Control, Detección, Visión e Inteligencia. Fu González Lee. Ed. McGraw-Hill, 1988.
- Robot dynamics and control. Spong, M.W. and Vidyasagar, M., 1989. John Wiley, New York
- Sistemas de control no lineal y robótica. Etxebarria v., 1999. Servicio Editorial de la UPV/EHU. Bilbao

Journals

- Cambridge Journals Online - Robotics
- International Journal of Humanoid Robotics
- Robotics & Automation Magazine, IEEE
- Robotics and Autonomous Systems - Elsevier
- Journal of Robotics and Mechatronics
- Automatica.
- The International Journal of Robotics Research
- International Journal of Control
- IEEE Transactions on Robotics

Web addresses

- http://www.education.rec.ri.cmu.edu/previews/robot_c_products/teaching_rc_lego_preview/teaching_rc_lego_print_preview.htm
- http://www.ai.mit.edu/projects/humanoid-robotics-group/
- http://www.roboticaeducativa.com
- http://www.webdearde.com
- http://www.infoplc.net/Enlace/Enlaces_ROBOTICA.htm
- http://www.cea-ifac.es/wwwgrupos/robotica/index.html

Examining board of the 5th, 6th and exceptional callToggle Navigation

  • ETXEBARRI COELLO, ARITZ
  • LOPEZ DE IPIÑA PEÑA, MIREN KARMELE
  • OSTOLAZA ZAMORA, JOSEBA XABIER

GroupsToggle Navigation

01 Teórico (Spanish - Mañana)Show/hide subpages

Calendar
WeeksMondayTuesdayWednesdayThursdayFriday
16-30

08:30-10:30 (1)

Teaching staff

Classroom(s)

  • AULA 5.3 - ESCUELA DE INGENIERIA DE GIPUZKOA (1)

01 Applied classroom-based groups-1 (Spanish - Mañana)Show/hide subpages

Calendar
WeeksMondayTuesdayWednesdayThursdayFriday
25-30

08:30-10:30 (1)

Teaching staff

Classroom(s)

  • LABORATORIO DE INFORMáTICA II - ESCUELA DE INGENIERIA DE GIPUZKOA (1)

01 Applied laboratory-based groups-1 (Spanish - Mañana)Show/hide subpages

Calendar
WeeksMondayTuesdayWednesdayThursdayFriday
16-24

08:30-10:30 (1)

Teaching staff

Classroom(s)

  • LABORATORIO DE CONTROL Y SISTEMAS - ESCUELA DE INGENIERIA DE GIPUZKOA (1)

31 Teórico (Basque - Mañana)Show/hide subpages

Calendar
WeeksMondayTuesdayWednesdayThursdayFriday
16-30

12:00-14:00 (1)

Teaching staff

Classroom(s)

  • AULA 2.3 - ESCUELA DE INGENIERIA DE GIPUZKOA (1)

31 Applied classroom-based groups-1 (Basque - Mañana)Show/hide subpages

Calendar
WeeksMondayTuesdayWednesdayThursdayFriday
25-30

08:30-10:30 (1)

Teaching staff

Classroom(s)

  • LABORATORIO EXPRESIÓN GRÁFICA I - ESCUELA DE INGENIERIA DE GIPUZKOA (1)

31 Applied laboratory-based groups-1 (Basque - Mañana)Show/hide subpages

Calendar
WeeksMondayTuesdayWednesdayThursdayFriday
16-24

08:30-10:30 (1)

Teaching staff

Classroom(s)

  • LABORATORIO DE CONTROL Y SISTEMAS - ESCUELA DE INGENIERIA DE GIPUZKOA (1)

31 Applied laboratory-based groups-2 (Basque - Mañana)Show/hide subpages

Calendar
WeeksMondayTuesdayWednesdayThursdayFriday
16-24

12:00-14:00 (1)

Teaching staff

Classroom(s)

  • LABORATORIO DE CONTROL Y SISTEMAS - ESCUELA DE INGENIERIA DE GIPUZKOA (1)