ECTS - Industrial Automation and Robotics Technology

Industrial Automation and Robotics Technology (MECE574) Course Detail

Course Name Course Code Season Lecture Hours Application Hours Lab Hours Credit ECTS
Industrial Automation and Robotics Technology MECE574 Area Elective 3 0 0 3 5
Pre-requisite Course(s)
N/A
Course Language English
Course Type Elective Courses
Course Level Bachelor’s Degree (First Cycle)
Mode of Delivery Face To Face
Learning and Teaching Strategies Lecture.
Course Coordinator
Course Lecturer(s)
  • Assoc. Prof. Dr. Muhammad Umer KHAN
Course Assistants
Course Objectives The main objective of this course is to familiarize students with the interdisciplinary field of robotics. The student must learn the Kinematics and Dynamics model of Serial manipulator, their correspondence with the real world. The course is designed with the objective of introducing students to the position and velocity-based control of robots. At the end of the course, the students should have gained aptitude in understanding, designing and implementation of the robot's control to perform certain task. Development, Simulation, and Analysis in RoboDK (https://robodk.com)
Course Learning Outcomes The students who succeeded in this course;
  • The students should be able to classify robots based upon their movement, and evaluate the performance based upon their specifications. In addition, basic elements of the robot will be explored and their movement in different coordinates and in view from different reference frames.
  • The students must be able to transform the 3D position of the robot to its equivalent joint angles or contrarily transform the joint angles to the corresponding 3D position of the robot. In simple, the objective is to control both the position and orientation of the tool in 3D space.
  • The students should be able to learn about differential motions of frames relative to a fixed frame, differential motions of robot joints relative to a fixed frame, Jacobians, and robot velocity relationships.
  • The students should achieve the understanding of Lagrangian mechanics with the objective of utilizing robot motion.
  • Öğrencilerin robot hareketini kullanabilmeleri için Lagrangian mekaniğinin anlaşılması gerekmektedir.
Course Content Principles of industrial automation systems, system approach for automated machinery and plants; advanced topics in pneumatic and hydraulic components and systems, design of pneumatic and hydraulic systems; principles of industrial robots and their role in industrial automation, mobile robots, robot arms, AS/RS; design issues in industrial automati

Weekly Subjects and Releated Preparation Studies

Week Subjects Preparation
1 Fundamentals: What is a Robot? Classification, History Reviewing the course content
2 Components, Degrees of Freedom Joints, Coordinates, Reference Frames, Characteristics, Workspace, Applications Repeat the previous week.
3 Robot Kinematics: Coordinate Frames, Matrix Representation Repeat the previous week.
4 Homogeneous Transformation Matrices, Denavit-Hartenberg Repeat the previous week.
5 Representation of Forward Kinematic Equations of Robots, Inverse Kinematic Solution of Robots. Types of Planar and Spatial mechanism. Degeneracy and Dexterity. The Fundamental Problem with the Denavit-Hartenberg Representation. Repeat the previous week.
6 Differential Motions and Velocities. Repeat the previous week.
7 Differential Relationships. Jacobian. Differential Motions of a Frame. Interpretation of Differential Change. Differential Changes Between Frames. Differential Motions of a Robot and Its Hand Frame. Calculation of the Jacobian. How to Relate the Jacobian and the Differential Operator. Inverse Jacobian. Repeat the previous week.
8 Midterm Study Midterm
9 Dynamic Analysis and Forces Repeat the previous week.
10 Lagrangian Mechanics, Dynamic Equations for Multiple-Degree-of-Freedom Robots. Static Force Analysis of Robots, Transformation of Forces and Moments Between Coordinate Frames Repeat the previous week.
11 Trajectory Planning Repeat the previous week.
12 Path vs. Trajectory. Joint Space vs. Cartesian-Space. Repeat the previous week.
13 Basics of Trajectory Planning. Joint space trajectory planning, Cartesian space trajectories Repeat the previous week.
14 Robot Kontrolü, Doğrusal Geri Bildirim Sistemleri, PD-Yerçekimi Kontrolü, Hesaplamalı Tork Kontrolü Repeat the previous week.

Sources

Course Book 1. Peter Corke, "Robotics, Vision and Control", Springer, 2011 Saeed B. Niku, "Introduction to Robotics: Analysis, Systems, Applications", Pearson Education, 2003
2. Robert J. Schilling, "Fundamentals of Robotics", Prentice Hall, 2005 J. J. Craig, Introduction to Robotics, Mechanics and Control, Pearson, Prentice Hall, 3rd Ed., 2005
3. M.W. Spong, S. Hutchinson, M. Vidyasagar, Robot Modeling and Control, Wiley, 2006.

Evaluation System

Requirements Number Percentage of Grade
Attendance/Participation - -
Laboratory - -
Application - -
Field Work - -
Special Course Internship - -
Quizzes/Studio Critics 2 10
Homework Assignments 2 10
Presentation - -
Project 1 30
Report - -
Seminar - -
Midterms Exams/Midterms Jury 1 30
Final Exam/Final Jury 1 20
Toplam 7 100
Percentage of Semester Work
Percentage of Final Work 100
Total 100

Course Category

Core Courses X
Major Area Courses
Supportive Courses
Media and Managment Skills Courses
Transferable Skill Courses

The Relation Between Course Learning Competencies and Program Qualifications

# Program Qualifications / Competencies Level of Contribution
1 2 3 4 5
1 Gains sufficient knowledge in subjects specific to mathematics, natural sciences, and engineering disciplines; gains the ability to use theoretical and applied knowledge in these fields to solve complex engineering problems.
2 Defines, formulates, and solves complex engineering problems; selects and applies appropriate analysis and modeling methods for this purpose.
3 Designs a complex system, process, device, or product under realistic constraints and conditions to meet specific requirements; applies modern design methods.
4 Selects and uses modern techniques and tools necessary for analyzing and solving complex problems encountered in engineering applications; gains the ability to use information technologies effectively.
5 Designs experiments, conducts experiments, collects data, and analyzes and interprets the results for studying complex engineering problems or research topics specific to engineering disciplines.
6 Works effectively in both disciplinary and multidisciplinary teams; gains the ability to work individually.
7 Develops effective oral and written communication skills; acquires proficiency in at least one foreign language; writes effective reports and understands written reports, prepares design and production reports, delivers effective presentations, and gives and receives clear and understandable instructions.
8 Develops awareness of the necessity of lifelong learning; gains access to information, follows developments in science and technology, and continuously renews oneself.
9 Acts in accordance with ethical principles, takes professional and ethical responsibility, and possesses knowledge of standards used in engineering applications.
10 Gains knowledge of business practices such as project management, risk management, and change management; develops awareness of entrepreneurship and innovation; possesses knowledge of sustainable development.
11 Gains knowledge of the impacts of engineering applications on health, environment, and safety in universal and societal dimensions, and the issues reflected in contemporary engineering fields; develops awareness of the legal consequences of engineering solutions.
12 Gains the ability to work in both thermal and mechanical systems fields, including the design and implementation of such systems.

ECTS/Workload Table

Activities Number Duration (Hours) Total Workload
Course Hours (Including Exam Week: 16 x Total Hours) 14 3 42
Laboratory
Application
Special Course Internship
Field Work
Study Hours Out of Class 14 1 14
Presentation/Seminar Prepration
Project 1 16 16
Report
Homework Assignments 2 5 10
Quizzes/Studio Critics 2 5 10
Prepration of Midterm Exams/Midterm Jury 1 20 20
Prepration of Final Exams/Final Jury 1 20 20
Total Workload 132