MEK310 RoboticsInstitutional InformationDegree Programs Mechanical EngineeringInformation For StudentsDiploma SupplementErasmus Policy StatementNational Qualifications
Mechanical Engineering

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Bachelor TR-NQF-HE: Level 6 QF-EHEA: First Cycle EQF-LLL: Level 6

Course General Introduction Information

Course Code: MEK310
Course Name: Robotics
Course Semester: Fall
Course Credits:
ECTS
6
Language of instruction: TR
Course Requirement:
Does the Course Require Work Experience?: No
Type of course: Departmental Elective
Course Level:
Bachelor TR-NQF-HE:6. Master`s Degree QF-EHEA:First Cycle EQF-LLL:6. Master`s Degree
Mode of Delivery: Face to face
Course Coordinator : Dr.Öğr.Üyesi KÜRŞAT TANRIVER
Course Lecturer(s):
Course Assistants:

Course Purpose and Content

Course Objectives: Determination of the position of robots, transformation between spaces and teaching the elements to be used in robot design.
Course Content: Introduction, Robot and Robotics, History, 2D and 3D Geometry, Robot Navigation, Kinematic Analysis of Robots, Robot Dynamics, Joint Control, Sensors and Actuators, Mobile Robots, Artificial Intelligence.

Learning Outcomes

The students who have succeeded in this course;
1) To recognise the types of robots, to be able to foresee their usage areas.
2) Understand the transformations between axis sets.
3) Understanding robot kinematics and determining its orientation.
4) To know the movement mechanisms of mobile robots.
5) To be able to make path planning for mobile robots.
6) To calculate the joint states in order to reach a desired position and orientation of the end of the robot.
7) To find the end position and orientation caused by known joint states.
8) To determine the appropriate location and orientation of the axis sets.

Course Flow Plan

Week Subject Related Preparation
1) Introduction, Robot and Robotics, History
2) 2D Geometry
3) 3D Geometry
4) Kinematic Analysis of Robots
5) DH Display
6) Inverse Kinematics
7) Robot Dynamics
8) Midterm Exam
9) Mobile Robots
10) Robot Navigation
11) Air and Sea Robots
12) Angle and accelerometer, movement mechanisms.
13) Robotic Vision
14) Artificial Intelligence
15) Final Exam

Sources

Course Notes / Textbooks: Robotics, Vision and Control, Peter CORKE, Springer Publishing, 2017
References:
Robot Modeling and Control, M. Spong, S. Hutchinson, and M. Vidyasagar, Wiley, 2006

Course - Learning Outcome Relationship

No Effect 1 Lowest 2 Medium 3 Highest
       
Program Outcomes Level of Contribution
1) Ability to utilize advanced theoretical and applied knowledge in the field.
2) Using the advanced knowledge and skills acquired in the field, being able to interpret and evaluate data, identify problems, analyze them, and develop solution proposals based on research and evidence.
3) Being able to organize and implement projects and activities for the social environment in which one lives with a sense of social responsibility.
4) Being able to follow information in one foreign language at least at the European Language Portfolio B1 General Level and communicate with colleagues in the field.
5) Ability to use information and communication technologies together with at least European Computer Driving License Advanced Level computer software, as required by the field.
6) Being able to evaluate advanced knowledge and skills in the field critically.
7) Identifying learning needs and being able to direct learning.
8) Developing a positive attitude towards lifelong learning.
9) Acting in accordance with social, scientific, cultural, and ethical values ​​in the stages of collecting, interpreting, applying, and announcing the results related to the field.
10) Having sufficient awareness about the universality of social rights, social justice, quality culture, preservation of cultural values, as well as environmental protection, occupational health, and safety.
11) Being able to conduct an advanced study independently in the field.
12) To take responsibility individually and as a team member to solve complex problems encountered in the field of application, which are unforeseen.
13) Being able to plan and manage activities for the development of those under their responsibility within the framework of a project.
14) Possess advanced level theoretical and practical knowledge supported by textbooks with updated information, practice equipments and other resources.
15) Being able to inform relevant individuals and institutions about the field; expressing their thoughts and solution proposals for problems both in written and verbal form.
16) Being able to share your thoughts and solutions regarding subjects related to the field with both experts and non-experts, supported by quantitative and qualitative data.

Learning Activity and Teaching Methods

Anlatım
Beyin fırtınası /Altı şapka
Bireysel çalışma ve ödevi
Course
Grup çalışması ve ödevi
Okuma
Homework
Problem Çözme

Measurement and Evaluation Methods and Criteria

Yazılı Sınav (Açık uçlu sorular, çoktan seçmeli, doğru yanlış, eşleştirme, boşluk doldurma, sıralama)
Homework
Bireysel Proje
Grup Projesi
Sunum

Assessment & Grading

Semester Requirements Number of Activities Level of Contribution
Homework Assignments 2 % 20
Midterms 1 % 20
Final 1 % 60
total % 100
PERCENTAGE OF SEMESTER WORK % 40
PERCENTAGE OF FINAL WORK % 60
total % 100

İş Yükü ve AKTS Kredisi Hesaplaması

Activities Number of Activities Aktiviteye Hazırlık Aktivitede Harçanan Süre Aktivite Gereksinimi İçin Süre Workload
Course Hours 14 3 42
Application 14 4 56
Homework Assignments 14 3 42
Midterms 14 1 14
Final 14 1 14
Total Workload 168