>
Course Unit Title Course Unit Code Type of Course Unit Level of Course Unit Year of Study Semester ECTS Credits
Advanced Industrial Robotic Applications MEH633 Elective Doctorate degree 1 Fall 8

Name of Lecturer(s)

Associate Prof. Dr. Mustafa ÇAKIR

Learning Outcomes of the Course Unit

1) Determine the relationship between various robot applications and the arm configurations available on commercial robots .
2) Describe the major robot applications.
3) Determine installation and operation requirements.
4) Integrate applications of robot systems in flexible manufacturing.

Program Competencies-Learning Outcomes Relation

  Program Competencies
1 2 3 4 5 6 7
Learning Outcomes
1 No relation No relation No relation No relation Low No relation No relation
2 No relation No relation No relation No relation Low No relation Low
3 No relation No relation No relation No relation High No relation Low
4 No relation No relation No relation No relation High No relation No relation

Mode of Delivery

Face to Face

Prerequisites and Co-Requisites

None

Recommended Optional Programme Components

Not Required

Course Contents

Safety for Industrial Robots. Industrial Robotik Applications Overview, Basic Definitions. Manipulator Types. Homogenous Coordinate Transformation. Rigid Body Kinematics. Forward and Inverse Kinematics. Calibration (Camera, End effector center-TCP, Hand-Eye). 3D Coordinate Measurement Machine-CMM Design. Robot Programming via Teach Pendant and Offline Tools. End Effectors, Pick-Place, Welding and Painting Applications. Camera supported applications. Robotic machining. Cable Driven Robots. High level Programming, Integrated Automation. Academic, Technological Innovations.

Weekly Schedule

1) Safety for Industrial Robots. Industrial Robotik Applications Overview.
2) Basic Definitions. Manipulator Types.
3) Homogenous Coordinate Transformation. Rigid Body Kinematics.
4) Forward and Inverse Kinematics.
5) Calibration (Camera, End effector center-TCP, Hand-Eye).
6) 3D Coordinate Measurement Machine-CMM Design.
7) Robot Programming via Teach Pendant and Offline Tools.
8) End Effectors, Pick-Place, Welding and Painting Applications.
9) Camera supported applications.
10) Robotic machining.
11) Robotic machining.
12) Cable Driven Robots.
13) High level Programming, Integrated Automation.
14) Academic, Technological Innovations.
15) Review / Homework & Project assesment
16) Review / Homework & Project assesment

Recommended or Required Reading

1- Robot Modeling and Control, Mark W. Spong, Seth Hutchinson, and M. Vidyasagar, 2005, ISBN:0471649902, 9780471649908
2- ABB Rapid and Robot Programming Manual.

Planned Learning Activities and Teaching Methods

1) Lecture
2) Question-Answer
3) Drill and Practice
4) Demonstration
5) Simulation
6) Problem Solving
7) Project Based Learning


Assessment Methods and Criteria

Contribution of Semester Studies to Course Grade

20%

 

Number

Percentage

Semester Studies

Midterm Examination

1

40%

Project

2

60%

 

Contribution of Final Examination to Course Grade

80%

Total

100%

Language of Instruction

Turkish

Work Placement(s)

Not Required