I_Robotics

25998 - Robotics

COURSE DESCRIPTION

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.

 

COMPETENCIES/LEARNING RESULTS FOR THE SUBJECT

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/PRACTICAL CONTENT

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

 

TEACHING METHODS

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.

 

TYPES OF TEACHING

TYPE OF TEACHING

M S GA GL GO GLC TA TI GCA

CLASSROOM HOURS

30   12 18          

HOURS OF STUDY OUTSIDE THE CLASSROOM

30   24 36          

Legend: M: Lecture S: Seminar GA: Applied classroom-based groups GL: Applied laboratory-based groups GO: Applied computer-based groups
GCL: Applied clinical-based groups TA: Workshop TI: Ind. workshop GCA: Applied fieldwork groups

Evaluation methods

- Continuous evaluation
- End-of-course evaluation

Evaluation tools and percentages of final mark

- Multiple choice test 20%
- Individual assignments 10%
- Teamwork assignments (problem solving, Project design) 50%
- Oral presentation of assigned tasks, Reading¿ 10%
- Attendance 10%

 

ORDINARY EXAMINATION PERIOD: GUIDELINES AND OPTING OUT

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 EXAMINATION PERIOD: GUIDELINES AND OPTING OUT

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).

 

MANDATORY MATERIALS

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

 

BIBLIOGRAPHY

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.

Detailed 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 sites of interest

- http://www.education.rec.ri.cmu.edu/previews/robot_c_products/teaching_rc_lego_p eview/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