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TR

ROBOTICS

Course
EELE411 - ROBOTICS
Department
Electrical - Electronic Engineering - English - Undergraduate
Course Type
Course
Status
Required
Language
English
Credit
3
ECTS
5
T+P+L
3 + 0 + 1
Course Coordinator(s)
Asst. Prof. Dr. Parvaneh SARGON
Prerequisite
-
Keywords

Course Description

This course introduces fundamentals of robot control. Brief review about robots, hardware and robot problems will be explained to give a general idea about the use of robotics. Various types of basic sensors are also be discussed under the issue of robot hardware. Agent function design will be taught to gain robot control algorithm development and design. Robot control programming with mostly used controllers and related programming language concepts will also be covered to improve hardware programming skills of participants of this course. Lectures give the background to the extensive hands-on practical work using the laboratories A practical project will be performed to have an experience about to control a real robots with microcontroller.

ROBOTICS

Evaluation Tools (Active Term)

Item Type Weight (%)
Project Project 45
Midterm Midterm 20
Final Final 30
Lab Assignment 5
Total 100

Course outcomes

  1. 01 1. Identify types of robots.
  2. 02 2. Specify robot components for a specific task.
  3. 03 3. Analyze real life problems to design an autonomous robot.
  4. 04 4. Implement an autonomous robot.
  5. 05 5. Develop computer code for a specific robotic system.

Course Syllabus

Week Topic
Week 1 Introducion to robotics
Week 2 Motion action and actuators
Week 3 Introduction to Locomotion
Week 4 Odemetry and Feedback control
Week 5 Introduction to kinematics
Week 6 Forward Kinematics
Week 7 Inverse Kinematics
Week 8 MIDTERM WEEK
Week 9 Introduction to Sensors
Week 10 range sensors
Week 11 Vision sensors
Week 12 Localization-Representation
Week 13 Planning and navigation
Week 14 Practical Mobile Robot Design
Week 15 Project Presentations (Competition)

Reference Books & Course Materials

  1. 01 R. Siegwart and I. Nourbakhsh, Autonomous Mobile Robots, The MIT Press, 2004
  2. 02 Computational Principles of Mobile Robotics, G. Dudek & M. Jenkin, Cambridge University Press, 2000.

Learning Outcomes

  1. L01 Identify robot hardwares. SOLO 2
  2. L02 Decide which robot components to use for a specific task. SOLO 2
  3. L03 Analyze real life problems to design an autonomous robot. SOLO 4
  4. L04 Implement an autonomous robot. SOLO 4
  5. L05 Summarize the autonomous robot design. SOLO 4

Program Outcomes

  1. Should be able to write effective reports, understand written reports, and prepare design and production reports.
  2. Should have the ability to make effective presentations.
  3. Should have the ability to give and have clear and understandable instructions.
  4. Should gain consciousness (awareness) about the necessity of lifelong learning.
  5. Should have the ability to access information.
  6. Should have the ability to follow developments in science and technology and constantly renew himself/herself.
  7. Should gain the awareness of professional and ethical responsibility and should act in accordance with ethical principles.
  8. Should gain knowledge about the standards used in engineering applications.
  9. Should gain knowledge about project management, risk management, and change management practices in business life.
  10. Should gain awareness about entrepreneurship, and innovation.
  11. Should gain knowledge about development in sustainability.
  12. Should gain knowledge about the effects of engineering practices on health, environment, and security at universal and social dimensions and the problems of the age reflected in the field of engineering.
  13. Awareness should be gained about the legal consequences of engineering solutions.
  14. Should have sufficient knowledge in mathematics, science, and subjects specific to the relevant engineering discipline.
  15. Should have the ability to use theoretical and applied knowledge in mathematics, science, and related engineering disciplines in complex engineering problems.
  16. Should have the ability to detect, define, formulate, and solve complex engineering problems.
  17. Should have the ability to select and apply appropriate analysis and modeling methods to solve complex engineering problems.
  18. Should have the ability to design a complex system, process, device, or product to meet specific requirements under realistic constraints and conditions.
  19. Should have the ability to apply modern design methods.
  20. Should have the ability to develop, select, and use modern techniques and tools necessary for the analysis and solution of complex problems encountered in engineering applications.
  21. Should have the ability to use information technologies effectively.
  22. Should have the ability to design experiments, for the study of complex problems or discipline-specific research topics.
  23. Should have the ability to conduct experiments, collect data, analyze and interpret results for the study of complex problems or discipline-specific research topics.
  24. Should have the ability to work in intradisciplinary teams.
  25. Should have the ability to work in interdisciplinary teams.
  26. Should have the skills to work individually.
  27. Should have the ability to communicate effectively verbally and in writing.
  28. Should have the knowledge of at least one foreign language.

Po-Lo Matrix

LO Average
L01 - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
L02 - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
L03 - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
L04 - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
L05 - - - - - - - - - - - - - - - - - - - - - - - - - - - - -