| Study programme competencies |
|
Code
|
Study programme competences
|
| A18 |
CE17 - Understanding and assimilation of the capacities and limitations of intelligent robotic systems, together with the technologies supporting them |
| A19 |
CE18 - Building up the ability to choose, design and implement AI based strategies to provide robotic systems, both individual and collective, with the capacities required to perform their tasks in a suitable way, according to the goals and constraints to be taken into account |
| B1 |
CG01 - Maintaining and extending theoretical foundations to allow the introduction and exploitation of new and advanced technologies in the field of AI |
| B2 |
CG02 - Successfully addressing each and every stage of an AI project |
| B3 |
CG03 - Searching and selecting that useful information required to solve complex problems, with a confident handling of bibliographical sources in the field |
| B6 |
CB01 - Acquiring and understanding knowledge that provides a basis or opportunity to be original in the development and/or application of ideas, frequently in a research context |
| B7 |
CB02 - The students will be able to apply the acquired knowledge and to use their capacity of solving problems in new or poorly explored environments inside wider (or multidisciplinary) contexts related to their field of study |
| B9 |
CB04 - The students will be able to communicate their conclusions, their premises and their ultimate justifications, both to specialised and non-specialised audiences, using a clear style language, free from ambiguities |
| C3 |
CT03 - Use of the basic tools of Information and Communications Technology (ICT) required for the student's professional practice and learning along her life |
| C5 |
CT05 - Understanding the importance of the entrepreneurial culture and knowledge of the resources within the entrepreneur person's means |
| C7 |
CT07 - Developing the ability to work in interdisciplinary or cross-disciplinary teams to provide proposal that contribute to a sustainable environmental, economic, political and social development |
| C8 |
CT08 - Appreciating the importance of research, innovation and technological development in the socioeconomic and cultural progress of society |
| Learning aims |
| Learning outcomes |
Study programme competences |
| Know the different types of robots depending on their application. Know the principles of operation of the different types of sensors and actuators adapted to the different operating environments.
|
AC17
|
BC1
BC6
|
CC3
|
| Have an overview of the different possibilities and control objectives in traditional smart robots, as well as the basic technologies that can be applied.
|
AC18
|
BC3
|
CC8
|
| 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).
|
AC18
|
BC2
BC7
BC9
|
CC5
CC7
|
| Contents |
| Topic |
Sub-topic |
| Elements of an Intelligent Robotic System |
|
| Real environments, embodiment and reality gap. |
|
| Sensing and actuation. |
|
| Knowledge based robotics |
|
| Behavior based robotics |
|
| Planning |
| Methodologies / tests |
Competencies |
Ordinary class hours |
Student’s personal work hours |
Total hours |
| Supervised projects |
B1 B3 B9 C5 C8 |
2 |
20 |
22 |
| Guest lecture / keynote speech |
A18 A19 B6 |
10.5 |
10 |
20.5 |
| Laboratory practice |
B2 B7 C3 C7 |
10.5 |
21 |
31.5 |
| |
| Personalized attention |
|
1 |
0 |
1 |
| |
| (*)The information in the planning table is for guidance only and does not take into account the heterogeneity of the students. |
| Methodologies |
|
Methodologies |
Description |
| 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.
|
| 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.
|
| Personalized attention |
|
Methodologies
|
| Laboratory practice |
| Supervised projects |
|
| Description |
A follow-up of the students will be carried out resolving doubts and discussing with them the evolution of the supervised works and assigned practices.
|
|
| Assessment |
|
Methodologies
|
Competencies |
Description
|
Qualification
|
| Laboratory practice |
B2 B7 C3 C7 |
See below |
50 |
| Supervised projects |
B1 B3 B9 C5 C8 |
See below |
20 |
| Guest lecture / keynote speech |
A18 A19 B6 |
See below |
30 |
| |
|
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. |
| Recommendations |
| Subjects that it is recommended to have taken before |
|
| Subjects that are recommended to be taken simultaneously |
| Machine Learning I /614544012 |
|
| Subjects that continue the syllabus |
| Intelligent Robotics II/614544020 |
|
| Other comments |
|
To help achieve an immediate sustainable environment and meet the objective of action number 5: "Healthy and sustainable environmental and social research" of the "Green Campus Ferrol Action Plan" the delivery of the documentary works that are carried out in this field: 
It will be requested in virtual format and/or computer support
It will be made through Moodle, in digital format without the need to print them. 
3. to be done on paper: 
Plastics will not be used. 
You will make good impressions on the face. 
Use recycled paper. 
Avoid the printing of drafts. |
|
Robin R. Murphy (2019). Introduction to AI Robotics. MIT Press