Information Package

Ph.D. on Electrical and Electronics Engineering

EEM601

ADVANCED ROBOTICS APPLICATIONS

Course Code
EEM601
Semester
-
Theory+Practice
3 + 0
ECTS
10
Course TypeElective Course
Course LevelDoctorate Of Science
Year of Study-
Semester-
ECTS10
Name of Lecturer(s) -
Learning Outcomes

At the end of this course, the students;

  1. Gain an ability to apply mathematics formulation in robot manipulator based on linear algebra.
  2. Learn and apply kinematics modeling in robot arms, solve forward and inverse kinematics problems.
  3. Learn and apply dynamic modeling in robot arms.
  4. Gain an ability to solve path and trajectory planning problem in robotics.
  5. Gain an ability to select sensor and actuator for design of robot arm.
Mode of DeliveryFace to face
PrerequisitesNo
Recommended Optional Programme ComponentsNo
Course DescriptionFundamental concepts in Robotics. Robotics applications. Basics of vectoral and analytic Mechanics. Robot dynamics, robot arms (manipulators). Forward and backward Kinematics in Robots, trajectory planning. Motion control, sensors and translators. Control architecture, introduction to moving robots.
Course Contents
WEEK TOPICS
1st Week Introduction to robotic
2nd Week Matrices and vector application in robotics
3rd Week Fundamental definition in mobile robots (DOF, workspace ...)
4th Week Homogonous matrices in position calculation
5th Week Homogonous matrices in position calculation
6th Week Forward and inverse kinematics in mobile robots
7th Week Forward and inverse kinematics in mobile robots
8th Week Trajectory planning
9th Week Midterm exam
10th Week Sensors and actuators in robotic
11th Week Control of position and speed
12th Week Dynamic relation in manipulators (Lagrangian ...)
13th Week Dynamic relation in manipulators (Lagrangian ...)
14th Week Control in robotic
Recommended or Required Reading1. Introduction to Robotics: Analysis, Systems, Applications, Saeed B. Niku, Prentice Hall 2002
2. Introduction to Robotics: Hohn. J.Craig third edition 2005
Planned Learning Activities and Teaching Methods
  • Lecture
  • Questions/Answers
  • Problem Solving
  • Project
  • Presentation
Assessment Methods and Criteria
Quantity Percentage (%)
Mid-term 1 30
Assignment 1 15
Project 1 25
Total(%) 70
Contribution of In-term Studies to Overall Grade(%) 70
Contribution of Final Examination to Overall Grade(%) 30
Total(%) 100
ECTS Allocated Based on Student Workload
Activities Quantity Duration (Hour) Total Workload (Hour)
Midterm exam 1 3 3
Preparation for Quiz 0 0 0
Individual or group work 14 8 112
Preparation for Final exam 1 40 40
Course hours 14 3 42
Preparation for Midterm exam 1 30 30
Laboratory (including preparation) 0 0 0
Final exam 1 3 3
Homework 2 35 70
Total Work Load300
Total Work Load / 30 (h)10
ECTS Credit of the Course10
Language of InstructionTurkish
Work Placement(s)No
LO1 LO2 LO3 LO4 LO5
K1 X
K2 X X X
K3 X X
K4 X
K5 X
K6
K7
K8
K9
K10
K11