Study programme competencies |
Code
|
Study programme competences / results
|
A9 |
Capacidade de visión espacial e coñecemento das técnicas de representación gráfica, tanto por métodos tradicionais de xeometría métrica e xeometría descritiva como mediante as aplicacións de deseño asistido por ordenador. |
A26 |
Coñecer os fundamentos e aplicacións da electrónica dixital e microprocesadores. |
A28 |
Coñecemento aplicado de instrumentación electrónica. |
A31 |
Coñecementos de regulación automática e técnicas de control e a súa aplicación á automatización industrial. |
A32 |
Coñecer os principios e aplicacións dos sistemas robotizados. |
A33 |
Coñecemento aplicado de informática industrial e comunicacións. |
A34 |
Capacidade para deseñar sistemas de control e automatización industrial. |
B1 |
Capacidade de resolver problemas con iniciativa, toma de decisións, creatividade e razoamento crítico. |
B4 |
Capacidade de traballar e aprender de forma autónoma e con iniciativa. |
B5 |
Capacidade para empregar as técnicas, habilidades e ferramentas da enxeñaría necesarias para a práctica desta. |
B6 |
Capacidade de usar adecuadamente os recursos de información e aplicar as tecnoloxías da información e as comunicacións na enxeñaría. |
C3 |
Desenvolverse para o exercicio dunha cidadanía aberta, culta, crítica, comprometida, democrática e solidaria, capaz de analizar a realidade, diagnosticar problemas, formular e implantar solucións baseadas no coñecemento e orientadas ao ben común. |
Learning aims |
Learning outcomes |
Study programme competences / results |
Know what an industrial robot is and identify its main applications |
A26 A28 A32
|
B5 B6
|
|
Know the problem of modeling and kinematic control in robots |
A9 A31 A33 A34
|
B5
|
|
Know the problem of modeling and dynamic control in robots |
A26 A28 A32 A34
|
B1 B4 B6
|
|
Know the robot programming methods |
A26 A32 A34
|
B1 B5 B6
|
|
Know the criteria for implementing an industrial robot |
A33 A34
|
B6
|
C3
|
Contents |
Topic |
Sub-topic |
Morphology: mechanical structures, sensory and actuation subsystems, tools and fixtures. |
Morphology: Mechanical structure, transmissions and reducers, actuators, sensors, control system and final effector. |
Direct and inverse geometric and kinematic model. |
Direct kinematic problem. Denavit - Hartember method.
Inverse kinematic problem. Methods.
Jacobian concept. |
Kinematic control and trajectory generation. |
Kinematic control functions.
Types of trajectories.
Generation of trajectories. Interpolation. |
Modeling and dynamic control. Servo control strategies. |
Monoarticular control.
Multi-joint control.
adaptive check. |
Control of force and accommodation. Integration with external sensors. |
Types of external sensors in industrial robotics. |
Robot programming. |
Robot programming methods.
ABB's RAPID language.
Simulation and programming with RobotStudio. |
Selection and implementation of industrial robots. Safety of robotic installations. |
Design and control of a robotic cell.
Criteria for selecting a robot and economic justification.
Safety in robotic installations. |
Planning |
Methodologies / tests |
Competencies / Results |
Teaching hours (in-person & virtual) |
Student’s personal work hours |
Total hours |
Guest lecture / keynote speech |
A26 A32 A33 A34 B1 B4 B5 B6 C3 |
17 |
23 |
40 |
Problem solving |
A9 A28 A31 A32 A33 A34 B1 B4 |
10 |
30 |
40 |
Laboratory practice |
A26 A28 A31 A32 A33 B1 B4 B5 B6 |
15 |
35 |
50 |
Objective test |
A31 A32 B1 B4 |
3 |
14 |
17 |
|
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 |
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. |
Objective test |
It consists in carrying out an objective test of approximately 2 hours, in which the acquired knowledge will be evaluated. |
Personalized attention |
Methodologies
|
Laboratory practice |
Problem solving |
|
Description |
The student has the relevant meetings of personalized tutorials, to resolve the concerns arising from the matter. |
|
Assessment |
Methodologies
|
Competencies / Results |
Description
|
Qualification
|
Laboratory practice |
A26 A28 A31 A32 A33 B1 B4 B5 B6 |
Some tasks established in the subject, within the framework of this methodology |
30 |
Problem solving |
A9 A28 A31 A32 A33 A34 B1 B4 |
Realization of works, exercises and problems |
20 |
Objective test |
A31 A32 B1 B4 |
Exam type objective test |
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. The "Mixed Test" can be divided into a multiple choice part and a few questions. It will be necessary to exceed 35% of the score in the multiple choice of the "Mixed Test" to pass. For the second opportunity, there will be no second deadline for assignments, and the evaluation of "Laboratory practice" will be included in "Mixed test". 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.
|
Sources of information |
Basic
|
Barrientos Cruz, Antonio; Peñín Honrubia, Luis Felipe (2007). Fundamentos de Robótica. Mc Graw-Hill
Ollero Baturone, A (2001). Manipuladores y Robots móviles. Marcombo
John J, Craig (2006). Robótica.. Pearson Prentice Hall
Peter Corke (2011). Robotics, Vision and Control. Robotics, Vision and Control
Torres, F y otros (2002). Robots y Sistemas Sensoriales. Prentice Hall |
|
Complementary
|
|
|
Recommendations |
Subjects that it is recommended to have taken before |
Computer Science/770G01002 | Physics I/770G01003 | Linear Algebra/770G01006 | Physics II/770G01007 | Automatic Control Systems/770G01017 | Fundamentals of Electronic Circuits/770G01018 | Digital Systems I/770G01026 |
|
Subjects that are recommended to be taken simultaneously |
Automation II/770G01037 | Advanced Control/770G01042 |
|
Subjects that continue the syllabus |
Graduation Proyect /Bachelor Thesis/770G01045 |
|
Other comments |
To help achieve an immediate sustainable environment and meet the objective of action number 5: "Healthy and sustainable environmental and social teaching and research" of the "Green Campus Ferrol Action Plan": 1. The delivery of the documentary works that are made in this matter: 1.1. They will be requested in virtual format and / or computer support 1.2. They will be made through Moodle, in digital format without the need to print them |
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