| Subject name (in Hungarian, in English) | Robotics I. | |||
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Robotics I.
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| Neptun code | BMEGEGT9008 | |||
| Type | study unit with contact hours | |||
| Course types and number of hours (weekly / semester) | course type: | lecture (theory) | exercise | laboratory excercise |
| number of hours (weekly): | 2 | 0 | 0 | |
| nature (connected / stand-alone): | - | - | - | |
| Type of assessments (quality evaluation) | exam | |||
| ECTS | 3 | |||
| Subject coordinator | name: | Dr. Zentay Péter Zoltán | ||
| post: | associate professor | |||
| contact: | zentay.peter.zoltan@gpk.bme.hu | |||
| Host organization | Department of Manufacturing Science and Engineering | |||
| https://manuf.bme.hu | ||||
| Course homepage | https://manuf.bme.hu | |||
| Course language | hungarian, english | |||
| Primary curriculum type | komplex vizsga tárgycsoport PhD tárgy | |||
| Direct prerequisites | Strong prerequisite | none | ||
| Weak prerequisite | ||||
| Parallel prerequisite | ||||
| Milestone prerequisite | at least obtained 0 ECTS | |||
| Excluding condition | none | |||
Aim
The aim of the course is to acquaint students with the types and structures of modern industrial robots, their programming and simulation, their integration into a production system, and the design of robot applications. The subject consists of lectures, but the student is also given a mid-year assignment related to the lectures. The subject ends with an oral exam. The grade is determined by the mid-term assignment and the oral exam in a ratio of 50% -50%.
Learning outcomes
Competences that can be acquired by completing the course
Knowledge
He understands the types of industrial robots, their structural structure, the basics of robot kinematics. Knows the possibilities of industrial robot applications (assembly cells and systems). He has a basic knowledge of the peripherals of industrial robots. He knows the different types and solutions of robot grippers and robot hands. He knows the design methods of robot applications, the tools that help design. You are familiar with service robots and their applications. He has a basic knowledge of testing industrial robots. You are aware of standards related to industrial robots. He has a basic knowledge of programming industrial robots. He is familiar with robot simulation systems, types and methods of virtual commissioning.
Ability
It is able to systematize industrial robots based on their types, structural and kinematic structures. Chooses the right industrial robot application solution for mounting cells and systems. Selects the appropriate robot peripheral for your particular robot application. Selects the appropriate robot gripper and / or robot hand for the particular robot application. Apply the design methods of robot applications, the tools that help the design. Able to systematize service robots and their applications. Interprets data collected from robot test results. Apply standards related to industrial robots. Use the programming languages of industrial robots (at least one). Use robotic simulation systems (at least one).
Attitude
He constantly monitors his work, results and conclusions. It continuously expands your knowledge of robot application design by gaining knowledge. Open to the use of information technology tools. It seeks to learn about and routinely use the tools needed to design robotic applications. Develops your ability to provide accurate and error-free problem solving, engineering precision, and accuracy. It applies the principles of energy efficiency, sustainability and environmental awareness when designing robot applications.
Independence and responsibility
Collaborates with the instructor and fellow students to expand knowledge. Accepts well-founded professional and other critical remarks. He is committed to enriching the field of robot application design with new knowledge and scientific results. He is committed to the principles and methods of systematic thinking and problem solving. With his knowledge, he makes a responsible, informed decision based on his analyzes.
Teaching methodology
The subject is taught in a task-oriented manner in the form of lectures. The lectures introduce students to the information defined by the knowledge competence elements in the form of frontal education and personal consultation, during which students learn about the types of industrial robots, the possibilities of industrial robot applications, and the methods and tools for designing robot applications. The independent sessions take place in connection with the lectures, focusing on the sub-area designated by the lecturer, taking into account the area of interest of the students, if possible, in the framework of an mid-year task.
Support materials
Textbook
B. Siciliano, O. Khatib (Editors): Springer Handbook of Robotics, Springer-Verlag Berlin Heidelberg, 2008, ISBN: 978-3-540-23957-4
Lecture notes
Online material
Validity of the course description
| Start of validity: | 2023. February 13. |
| End of validity: | 2027. July 15. |
General rules
Assessment of learning outcomes consists of a mid-year summary performance assessment and a year-end exam. Summative performance evaluation is a complex, written way of evaluating the knowledge, ability, attitude, and independence and responsibility type competence elements of the subject in the form of a report on the task solved during the semester. The exam is an oral method of assessing the knowledge and ability type competence elements of the subject, which measures the knowledge of the lectures on the one hand, and the skill level knowledge acquired during the mid-year task on the other hand.
Assessment methods
Detailed description of mid-term assessments
| Mid-term assessment No. 1 | ||
| Type: | formative assessment, project-based, complex | |
| Number: | 1 | |
| Purpose, description: | Summative performance evaluation is a way of evaluating the knowledge, ability, attitude, and autonomy and responsibility type competence elements of a subject in the form of a report dissertation. On the one hand, the report focuses on the application of the acquired knowledge, so it focuses on the problem recognition and solution, ie the solved practical task must be presented, and on the other hand, it calls for the necessary lexical knowledge. The subject of the task can be literature research, industrial robot application analysis, robot simulation, or robot application design for a given production (assembly) task. The solution of the task can be individual or group work, the result of which can be a written essay, analysis, project report, presentation, or a documented simulation model, depending on the type of task. The uniform assessment principles are defined by the person in charge of the subject. | |
Detailed description of assessments performed during the examination period
Elements of the exam:
| Oral partial exam | ||
| Obligation: | mandatory (partial) exam unit, failing the unit results in fail (1) exam result | |
| Description: | The exam is an oral method of assessing the knowledge and ability type competence elements of the subject, which measures the knowledge of the lectures and independent research on the one hand, and the skill level knowledge acquired during the mid-year task on the other hand. From the topics of the lectures, the student receives two randomly selected questions. Before the oral answer, the student is given a short preparation time during which he / she can also make a written sketch. During the oral answer, the lexical knowledge of the theory and its practical application, as well as its connection with the student's own field of research are checked. | |
| Inclusion of mid-term results | ||
| Obligation: | mandatory (partial) exam unit, failing the unit results in fail (1) exam result | |
| Description: | The exam grade includes the mid-year performance evaluation, ie the result of the independent planning task. When determining the examination mark, the mid-year task and the oral examination performance are given equal weight (50% -50%). The oral exam may cover the solution of the mid-year task, the presentation and justification of the results of the solution, especially when the task is closely related to the student's field of research. | |
The weight of mid-term assessments in signing or in final grading
| ID | Proportion |
|---|---|
| Mid-term assessment No. 1 | 100 % |
The condition for signing is that the score obtained in the mid-year assessments is at least 40%.
The weight of partial exams in grade
| Type: | Proportion |
|---|---|
| Oral partial exam | 50 % |
| Inclusion of mid-term results | 50 % |
Determination of the grade
| Grade | ECTS | The grade expressed in percents |
|---|---|---|
| very good (5) | Excellent [A] | above 92 % |
| very good (5) | Very Good [B] | 87 % - 92 % |
| good (4) | Good [C] | 72 % - 87 % |
| satisfactory (3) | Satisfactory [D] | 65 % - 72 % |
| sufficient (2) | Pass [E] | 50 % - 65 % |
| insufficient (1) | Fail [F] | below 50 % |
The lower limit specified for each grade already belongs to that grade.
Attendance and participation requirements
Must be present at at least 70% (rounded down) of lectures.
Special rules for improving, retaken and replacement
The special rules for improving, retaken and replacement shall be interpreted and applied in conjunction with the general rules of the CoS (TVSZ).
| Can the submitted and accepted partial performance assessments be resubmitted until the end of the replacement period in order to achieve better results? | ||
| yes | ||
| Taking into account the previous result in case of improvement, retaken-improvement: | ||
| out of multiple results, the best one is to be taken into account | ||
| The way of retaking or improving a partial assessment for the first time: | ||
| partial assesment(s) in this group can be improved or repeated once up to the end of the repeat period | ||
Study work required to complete the course
| Activity | hours / semester |
|---|---|
| participation in contact classes | 28 |
| elaboration of a partial assessment task | 30 |
| exam preparation | 21 |
| additional time required to complete the subject | 8 |
| altogether | 87 |
Validity of subject requirements
| Start of validity: | 2023. February 13. |
| End of validity: | 2027. July 15. |
Primary course
The primary (main) course of the subject in which it is advertised and to which the competencies are related:
Mechanical engineering sciences PhD programme
Link to the purpose and (special) compensations of the Regulation KKK
This course aims to improve the following competencies defined in the Regulation KKK:
Knowledge
Ability
Attitude
Independence and responsibility
Prerequisites for completing the course
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Knowledge type competencies
(a set of prior knowledge, the existence of which is not obligatory, but greatly facilitates the successful completion of the subject) |
Basic knowledge of production technology, robotics, production cells. |
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Ability type competencies
(a set of prior abilities and skills, the existence of which is not obligatory, but greatly contributes to the successful completion of the subject) |
Preparation of engineering calculations, analyzes, simulations. |