As part of the "Laboratory practice" may include aspects such as attendance, attitude, etc., to help obtain the approved. In addition, it may also include in this methodology the assessment of the presentation in class of personal work.

For the second opportunity, there will be second deadline for assignments.

The evaluation criteria of the early December call will be the same as those of the second opportunity of the previous year.

Students with recognition of part-time dedication and academic waiver of attendance exemption, second establishes the "NORMA QUE REGULA O RÉXIME DE DEDICACIÓN AO ESTUDO DOS ESTUDANTES DE GRAO NA UDC (Arts. 2.3; 3.b e 4.5) (29/5/212)", will be evaluated in the same way, allowing one more week of margin in the assignments.

The fraudulent completion of tests or assessment activities, once verified, will directly imply that the student will be qualified with "suspension" (numerical grade 0) in the corresponding call for the academic year, whether the offense is committed at the first opportunity as in the second For this, your qualification will be modified in the first opportunity report, if necessary.

In case the student commits an infraction in the subject (according to the Student Disciplinary Regulations): the student will be graded with a "fail" (numerical grade 0) in the corresponding exam session, whether the infraction is committed at the first or second opportunity. For this, the student's grade will be modified in the first opportunity report, if necessary.

Learning outcomes	Study programme competences
Understand the importance of robotics in the field of current and emerging industry	A32 A33	B1 B2 B5 B6 B12	C1 C2 C5
Understand the operating principles of robotics	A3 A30 A32	B4 B7
Ability to use simulation tools and robot programming in a flexible and collaborative industrial environment	A30 A32 A33	B3 B6 B7
Know and manage intelligent autonomous systems	A30 A32 A33	B6 B7

Topic	Sub-topic
Introduction to robotics and integration with other 4.0 or emerging technologies	Robotics as an enabling technology in Industry 4.0 Collaborative robotics or cobots Trends in industrial robotics
Architecture and elements of robotics	Morphology Model and kinematic control Modeling and dynamic control Programming
Mobile and/or intelligent autonomous systems	Autonomous mobile robots (AMR)

Methodologies / tests	Competencies	Ordinary class hours	Student’s personal work hours	Total hours
Guest lecture / keynote speech	A32 B1 B2 B12 C1 C5	7	11	18
Problem solving	A3 A30 A33 B3 B4 B5 B6 B7 C2	4.5	11	15.5
Laboratory practice	A30 A32 A33 B3 B4 B7 B12 C1 C2 C5	18	26	44
Supervised projects	A30 A32 B2 B4 B6 B12 C1 C2 C5	7	26	33

Personalized attention		2	0	2

(*)The information in the planning table is for guidance only and does not take into account the heterogeneity of the students.

Methodologies	Description
Guest lecture / keynote speech	Keynote speech complemented with the use of audiovisual media and the introduction of some questions to students, in order to transmit knowledge and facilitate learning. The order of the topics covered will not have to be the one described in the teaching guide. In addition, there will be topics that can be seen together on the development of others, and the division between them may not be strict.
Problem solving	Solving exercises and specific problems in the classroom, from the knowledge explained.
Laboratory practice	Performing laboratory practice as far as possible; or, failing that, solving exercises and specific problems in the classroom, from the knowledge explained.
Supervised projects	An individual work was carried out, along with the correction of the work of other colleagues. In addition, this work will have to be presented in class.

Methodologies	Competencies	Description	Qualification
Laboratory practice	A30 A32 A33 B3 B4 B7 B12 C1 C2 C5	Some tasks established in the subject, within the framework of this methodology	30
Problem solving	A3 A30 A33 B3 B4 B5 B6 B7 C2	Realization of works, exercises and problems	20
Supervised projects	A30 A32 B2 B4 B6 B12 C1 C2 C5	Realization of a practical application developed by the robot, which can be combined with the vision system and other laboratory equipment.	50

Assessment comments
As part of the "Laboratory practice" may include aspects such as attendance, attitude, etc., to help obtain the approved. In addition, it may also include in this methodology the assessment of the presentation in class of personal work. For the second opportunity, there will be second deadline for assignments. The evaluation criteria of the early December call will be the same as those of the second opportunity of the previous year. Students with recognition of part-time dedication and academic waiver of attendance exemption, second establishes the "NORMA QUE REGULA O RÉXIME DE DEDICACIÓN AO ESTUDO DOS ESTUDANTES DE GRAO NA UDC (Arts. 2.3; 3.b e 4.5) (29/5/212)", will be evaluated in the same way, allowing one more week of margin in the assignments. The fraudulent completion of tests or assessment activities, once verified, will directly imply that the student will be qualified with "suspension" (numerical grade 0) in the corresponding call for the academic year, whether the offense is committed at the first opportunity as in the second For this, your qualification will be modified in the first opportunity report, if necessary. In case the student commits an infraction in the subject (according to the Student Disciplinary Regulations): the student will be graded with a "fail" (numerical grade 0) in the corresponding exam session, whether the infraction is committed at the first or second opportunity. For this, the student's grade will be modified in the first opportunity report, if necessary.

Basic	Barrientos y otros (2007). Fundamentos de robótica. Mc Graw-Hill Nikolaus Correll (2020). Introduction to Autonomous Robots. Magellan Scientic Ollero Baturone (2001). Manipuladores y Robots móviles. Marcombo Gerald Cook (2011). Mobile Robots, Navigation, Control and Remote Senssing. IEEE Pres Editorial

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