The evaluation of the subject will consist of two distinct parts: theory (50%) and practical work (50%). The theoretical part will be evaluated through an examination that may consist of a work of analysis of scientific bibliography related to the subject of the subject, presented orally on the day of the final exam. The practical part will be evaluated from the average of the memoirs presented at the end of each practice. It will be necessary to approve the theory and practice part separately in order to approve the matter.
Attendance to both theoretical and practical classes will be mandatory for the approval of the subject except in cases of justified absence. For those students who have a dispensation, the evaluation system will be the same although they will not have an obligation to attend theoretical classes.
Second-chance assessment: Students must recover each suspended part (theory and practices). If one of the two parties has been approved during the first opportunity, the student may choose to save the corresponding note and only recover the suspended part.
Students will be assessed as "unpresented" when they do not present the theory analysis work or any of the practice memoirs.
The competences of the subject as well as the general-basic competences have specific contents in the subject that are introduced, as indicated, both in the exhibition and interactive classes. Subsequently, the students will develop these skills in the theoretical exam and with the realization of the practical work in which the cross-border competences will also work, especially with regard to the ability to use ICT tools (CT3), the understanding of entrepreneurial culture (CT5), the ability to work in a team (CT7) and the valorization of research and innovation (CT8). The specific competences will be evaluated both in the practical work that the student develops during the subject and in the theoretical exam.
For cases of fraudulent performance of exercises or tests, the provisions of the "Regulation of evaluation of academic performance of students and review of qualifications" will apply.

Learning outcomes	Study programme competences
Know the different elements of a cognitive architecture as they are usually implemented in autonomous robots.	AC17	BC1 BC6
To know the particularities of learning techniques when used in robotics, paying special attention to open and continuous learning, as well as collaboration-oriented, whether with other robots or with humans, for problem solving.	AC18	BC2	CC3 CC5
Know how to implement, even if it is in a simplified way, examples/elements of everything seen in theory (components of a cognitive architecture, learning methods).		BC3 BC7 BC9	CC7 CC8

Topic	Sub-topic
Reasoning and decision making
Representation and modeling
Learning in robotics (real time, uncertainty, adaptation to the environment).
Cognitive architectures in autonomous robotics: motivational and attention mechanisms, redescription and knowledge consolidation, memory types, developmental robotics. Open-ended learning.

Methodologies / tests	Competencies	Ordinary class hours	Student’s personal work hours	Total hours
Laboratory practice	A19 B2 B3 C7	14	42	56
Supervised projects	B7 B9 C5 C8	7	42	49
Guest lecture / keynote speech	A18 B1 B6 C3	21	21	42

Personalized attention		3	0	3

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

Methodologies	Description
Laboratory practice	Laboratory or remote sessions using ICTs in which the characteristics of the robotic platform selected for the assignment and its programming software will be explained. In addition, these classes will be used for students to program and test in the real robot the controllers they are doing for the supervised work.
Supervised projects	Practices in which some of the techniques seen in the theoretical classes on robot simulation environments and the robotic platforms selected by the teachers of the assignment will be implemented. These works will be carried out by the students autonomously and their progress will be tutored by the teachers.
Guest lecture / keynote speech	Oral presentation by the teachers of the theoretical subject. This methodology can be hybridized with a collaborative learning methodology.

Methodologies	Competencies	Description	Qualification
Guest lecture / keynote speech	A18 B1 B6 C3	See below	30
Laboratory practice	A19 B2 B3 C7	See below	50
Supervised projects	B7 B9 C5 C8	See below	20

Assessment comments
The evaluation of the subject will consist of two distinct parts: theory (50%) and practical work (50%). The theoretical part will be evaluated through an examination that may consist of a work of analysis of scientific bibliography related to the subject of the subject, presented orally on the day of the final exam. The practical part will be evaluated from the average of the memoirs presented at the end of each practice. It will be necessary to approve the theory and practice part separately in order to approve the matter. Attendance to both theoretical and practical classes will be mandatory for the approval of the subject except in cases of justified absence. For those students who have a dispensation, the evaluation system will be the same although they will not have an obligation to attend theoretical classes. Second-chance assessment: Students must recover each suspended part (theory and practices). If one of the two parties has been approved during the first opportunity, the student may choose to save the corresponding note and only recover the suspended part. Students will be assessed as "unpresented" when they do not present the theory analysis work or any of the practice memoirs. The competences of the subject as well as the general-basic competences have specific contents in the subject that are introduced, as indicated, both in the exhibition and interactive classes. Subsequently, the students will develop these skills in the theoretical exam and with the realization of the practical work in which the cross-border competences will also work, especially with regard to the ability to use ICT tools (CT3), the understanding of entrepreneurial culture (CT5), the ability to work in a team (CT7) and the valorization of research and innovation (CT8). The specific competences will be evaluated both in the practical work that the student develops during the subject and in the theoretical exam. For cases of fraudulent performance of exercises or tests, the provisions of the "Regulation of evaluation of academic performance of students and review of qualifications" will apply.

Basic	Robin R. Murphy (2019). Introduction to AI Robotics, 2nd Edition,. MIT Press Rolf Pfeiffer, Josh Bongard (2006). How the Body Shapes the way we Think.. MIT Press Richard S. Sutton, Andrew G. Barto (2018). Reinforcement Learning: An Introduction, 2nd Edition. Bruno Siciliano, Oussama Khatib (2016). Springer Handbook of Robotics, 2nd Edition. . Springer

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