1. General information
Course:
PROGRAMMING MOBILE ROBOTS
Code:
56345
Type:
ELECTIVE
ECTS credits:
6
Degree:
420 - UNDERGRADUATE DEGREE PROGRAMME IN MECHANICAL ENGINEERING
Academic year:
2022-23
Center:
605 - SCHOOL OF INDUSTRIAL ENGINEERS. AB
Group(s):
11
Year:
4
Duration:
C2
Main language:
English
Second language:
Use of additional languages:
English Friendly:
N
Web site:
Bilingual:
Y
Lecturer:
ANTONIO FERNANDEZ CABALLERO
- Group(s):
11
Building/Office
Department
Phone number
Email
Office hours
Escuela Técnica Superior de Ingenieros Industriales / 1.C.3
SISTEMAS INFORMÁTICOS
2406
antonio.fdez@uclm.es
2. Pre-Requisites
Pre-requisites
The student must have prior basic knowledge of computers and programming.
Therefore, and to properly follow this course, it is recommended that students have previously studied the subject 'Computer Fundamentals'.
3. Justification in the curriculum, relation to other subjects and to the profession
Justification in the study plan, and relation with other courses and the profession
The concepts and skills provided in this course are part of the reference MECHATRONICS and thus complement the fourth year electives called 'Pneumatic Systems', 'Sensors and Actuators', 'Virtual Instrumentation' and 'Mechanics of Robots and Manipulators' .
The course is initially based on the programming concepts learned in the subject of 'Computer Basics' as well as some of Robotics concepts seen on the subject 'Industrial Robotics'.
This course provides the concepts and basic skills that an Industrial Engineer specializing in Mechanics requires in relation to the programming of sensors, actuators and control of mobile robots.
4. Degree competences achieved in this course
| Course competences | |
|---|---|
| Code | Description |
| CEO20 | Knowledge of the fundamentals of mobile robotics and its reasoning models, for the purpose of applying specific techniques according to the problem to be solved. |
| CG03 | Knowledge of basic and technological subjects to facilitate learning of new methods and theories, and provide versatility to adapt to new situations. |
| CT02 | Knowledge and application of information and communication technology. |
5. Objectives or Learning Outcomes
| Course learning outcomes | |
|---|---|
| Description | |
| Programming of a simulator for mobile robots and certain real mobile robots, mainly in aspects related to autonomous navigation. | |
| Additional outcomes | |
| Description | |
| Knowledge of the internal workings of mobile robots (sensors, actuators and control). Ability in the handling of computer libraries. Ability in oral and written communication. Ability in teamwork. |
|
6. Units / Contents
-
Unit 1: Mobile Robots
-
Unit 2: Mobile Robot Architectures
-
Unit 3: Robot Behaviours
-
Unit 4: Robot Locomotion
-
Unit 5: Robot Sensing
-
Unit 6: Robot Vision
-
Unit 7: Motion Planning
-
Unit 8: Localisation and Mapping
-
Unit 9: Robot Navigation
-
Unit 10: Learning in Mobile Robots
-
Unit 11: Multi-Robot Systems
-
Unit 12: Human-Robot Interaction
7. Activities, Units/Modules and Methodology
| Training Activity | Methodology | Related Competences (only degrees before RD 822/2021) | ECTS | Hours | As | Com | Description | |
| Class Attendance (theory) [ON-SITE] | Lectures | CEO20 CG03 | 1.2 | 30 | Y | N | The teacher will focus on the topic and explain its fundamental contents. | |
| Computer room practice [ON-SITE] | Practical or hands-on activities | CEO20 CT02 | 0.48 | 12 | Y | N | It consists in the realization, in small groups, of practical exercises and simulations with specific software. | |
| Problem solving and/or case studies [ON-SITE] | Problem solving and exercises | CEO20 CG03 CT02 | 0.48 | 12 | Y | N | It will consist of the exposition of the works carried out in the practices. | |
| Progress test [ON-SITE] | Assessment tests | CEO20 CG03 | 0.16 | 4 | Y | N | They will consist of tests related to both theoretical aspects and practical application. | |
| Final test [ON-SITE] | Assessment tests | CEO20 CG03 CT02 | 0.08 | 2 | Y | Y | It will deal with the whole subject evaluating its theoretical and practical aspects. | |
| Study and Exam Preparation [OFF-SITE] | Self-study | 3.6 | 90 | N | N | |||
| Total: | 6 | 150 | ||||||
| Total credits of in-class work: 2.4 | Total class time hours: 60 | |||||||
| Total credits of out of class work: 3.6 | Total hours of out of class work: 90 | |||||||
As: Assessable training activity Com: Training activity of compulsory overcoming (It will be essential to overcome both continuous and non-continuous assessment).
8. Evaluation criteria and Grading System
| Evaluation System | Continuous assessment | Non-continuous evaluation * | Description |
| Assessment of activities done in the computer labs | 25.00% | 25.00% | The work carried out by the student during the practices will be valued on the basis of a demonstration of the functioning of the programs and the documentation delivered in the written reports. |
| Practicum and practical activities reports assessment | 15.00% | 15.00% | Both the content of the work presented and the clarity of the written expression will be valued. |
| Progress Tests | 60.00% | 60.00% | There will be four optional progress tests. Each of these progress tests must be passed with a minimum of 5 out of 10. If in any of the four exams this requirement is not met, the student must achieve the grade corresponding to this activity by taking the final exam, which will include the contents of the subject not passed. |
| Total: | 100.00% | 100.00% |
According to art. 4 of the UCLM Student Evaluation Regulations, it must be provided to students who cannot regularly attend face-to-face training activities the passing of the subject, having the right (art. 12.2) to be globally graded, in 2 annual calls per subject , an ordinary and an extraordinary one (evaluating 100% of the competences).
Evaluation criteria for the final exam:
-
Continuous assessment:The final exam that includes all the subjects not passed during the course.
-
Non-continuous evaluation:Evaluation criteria not defined
Specifications for the resit/retake exam:
The retake exam consists of a final exam that covers the whole subject.
No note is kept of the activities carried out during the course.
No note is kept of the activities carried out during the course.
Specifications for the second resit / retake exam:
The second retake exam consists of a final exam that covers the whole subject.
9. Assignments, course calendar and important dates
| Not related to the syllabus/contents | |
|---|---|
| Hours | hours |
| Computer room practice [PRESENCIAL][Practical or hands-on activities] | 12 |
| Problem solving and/or case studies [PRESENCIAL][Problem solving and exercises] | 12 |
| Progress test [PRESENCIAL][Assessment tests] | 4 |
| Final test [PRESENCIAL][Assessment tests] | 2 |
| Study and Exam Preparation [AUTÓNOMA][Self-study] | 90 |
| Unit 1 (de 12): Mobile Robots | |
|---|---|
| Activities | Hours |
| Class Attendance (theory) [PRESENCIAL][Lectures] | 2.5 |
| Unit 2 (de 12): Mobile Robot Architectures | |
|---|---|
| Activities | Hours |
| Class Attendance (theory) [PRESENCIAL][Lectures] | 2.5 |
| Unit 3 (de 12): Robot Behaviours | |
|---|---|
| Activities | Hours |
| Class Attendance (theory) [PRESENCIAL][Lectures] | 2.5 |
| Unit 4 (de 12): Robot Locomotion | |
|---|---|
| Activities | Hours |
| Class Attendance (theory) [PRESENCIAL][Lectures] | 2.5 |
| Unit 5 (de 12): Robot Sensing | |
|---|---|
| Activities | Hours |
| Class Attendance (theory) [PRESENCIAL][Lectures] | 2.5 |
| Unit 6 (de 12): Robot Vision | |
|---|---|
| Activities | Hours |
| Class Attendance (theory) [PRESENCIAL][Lectures] | 2.5 |
| Unit 7 (de 12): Motion Planning | |
|---|---|
| Activities | Hours |
| Class Attendance (theory) [PRESENCIAL][Lectures] | 2.5 |
| Unit 8 (de 12): Localisation and Mapping | |
|---|---|
| Activities | Hours |
| Class Attendance (theory) [PRESENCIAL][Lectures] | 2.5 |
| Unit 9 (de 12): Robot Navigation | |
|---|---|
| Activities | Hours |
| Class Attendance (theory) [PRESENCIAL][Lectures] | 2.5 |
| Unit 10 (de 12): Learning in Mobile Robots | |
|---|---|
| Activities | Hours |
| Class Attendance (theory) [PRESENCIAL][Lectures] | 2.5 |
| Unit 11 (de 12): Multi-Robot Systems | |
|---|---|
| Activities | Hours |
| Class Attendance (theory) [PRESENCIAL][Lectures] | 2.5 |
| Unit 12 (de 12): Human-Robot Interaction | |
|---|---|
| Activities | Hours |
| Class Attendance (theory) [PRESENCIAL][Lectures] | 2.5 |
| Global activity | |
|---|---|
| Activities | hours |
10. Bibliography and Sources
| Author(s) | Title | Book/Journal | Citv | Publishing house | ISBN | Year | Description | Link | Catálogo biblioteca |
|---|---|---|---|---|---|---|---|---|---|
| Robotics and Autonomous Systems | http://www.elsevier.com/wps/find/journaldescription.cws_home/505622/description | ||||||||
| Journal of Field Robotics | http://journalfieldrobotics.org/Home.html | ||||||||
| A. Ollero | Robótica: Manipuladores y Robots Móviles | Marcombo | 978-8-426-71313-1 | 2005 | Chapters 2 and 7-12 | ||||
| B. Siciliano, L. Scavicco, L. Villani, G. Oriolo | Robotics: Modelling, Planning and Control | Springer | 978-1-84628-641-4 | 2009 | Chapters 5 and 11-12 | ||||
| F. Fahimi | Autonomous Robots: Modeling, Path Planning, and Control | Springer | 978-0-387-09537-0 | 2009 | Chapter 6 | ||||
| F. Torres, J. Pomares, P. Gil, S.T. Puente, R. Aracil | Robots y Sistemas Sensoriales | Prentice Hall | 84-205-3574-5 | 2002 | Chapters 6-7, 11 and 14 | ||||
| H. Choset, K.M. Lynch, S. Hutchinson, G. Kantor, W. Burgard, L.E. Kavraki, S. Thrun | Principles of Robot Motion: Theory, Algorithms, and Implementations | The MIT Press | 978-0-272-03327-5 | 2005 | |||||
| R. Siegwart, I.R. Nourbakhsh, D. Scaramuzza | Introduction to Autonomous Mobile Robots, Second Edition | The MIT Press | 978-0-262-01535-6 | 2011 | |||||
| S. Thrun, W. Burghard, D. Fox | Probabilistic Robotics | The MIT Press | 978-0-262-20162-9 | 2005 | Chapters 2 and 7-12 |