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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. P01 Knowledge of mathematics, natural sciences, basic engineering, computer-based computation, and topics specific to the relevant engineering discipline.
  2. P02 Ability to apply knowledge of mathematics, natural sciences, basic engineering, computer-based computation, and topics specific to the relevant engineering discipline to the solution of complex engineering problems.
  3. P03 Ability to define complex engineering problems by using knowledge of basic sciences, mathematics, and engineering, while considering the relevant United Nations Sustainable Development Goals (SDGs) related to the problem addressed.
  4. P04 Ability to formulate complex engineering problems using knowledge of basic sciences, mathematics, and engineering, while considering the relevant United Nations Sustainable Development Goals (SDGs) associated with the problem addressed.
  5. P05 Ability to analyse and solve complex engineering problems using knowledge of basic sciences, mathematics, and engineering, while considering the relevant United Nations Sustainable Development Goals (SDGs) associated with the problem addressed.
  6. P06 Ability to design creative solutions to complex engineering problems.
  7. P07 Ability to design complex systems, processes, devices, or products in a way that meets present and future needs while considering realistic constraints and conditions.
  8. P08 Ability to select and use appropriate techniques and resources—including estimation and modelling—for the analysis and solution of complex engineering problems, while being aware of their limitations.
  9. P09 Ability to select and use modern engineering and computational tools—including estimation and modelling—for the analysis and solution of complex engineering problems, while being aware of their limitations.
  10. P10 Ability to conduct literature research and use appropriate research methods for the investigation of complex engineering problems.
  11. P11 Ability to design experiments for the investigation of complex engineering problems.
  12. P12 Ability to conduct experiments, collect data, analyse results, and interpret findings for the investigation of complex engineering problems.
  13. P13 Knowledge of the impacts of engineering practices on society, health and safety, the economy, sustainability, and the environment within the framework of the United Nations Sustainable Development Goals (SDGs).
  14. P14 Awareness of the legal implications of engineering solutions within the framework of the United Nations Sustainable Development Goals (SDGs).
  15. P15 Knowledge of ethical responsibility and adherence to the principles of professional engineering conduct.
  16. P16 Awareness of acting impartially without discrimination in any matter and of being inclusive of diversity.
  17. P17 Ability to work effectively as an individual.
  18. P18 Ability to work effectively as a team member or leader in intra-disciplinary teams (face-to-face, remote, or hybrid).
  19. P19 Ability to work effectively as a team member or leader in multidisciplinary teams (face-to-face, remote, or hybrid).
  20. P20 Ability to communicate effectively in spoken form on technical matters, taking into account the diverse characteristics of the target audience (such as education, language, and profession).
  21. P21 Ability to communicate effectively in written form on technical matters, taking into account the diverse characteristics of the target audience (such as education, language, and profession).
  22. P22 Knowledge of professional practices such as project management and economic feasibility analysis.
  23. P23 Awareness of entrepreneurship and innovation.
  24. P24 Ability for independent and lifelong learning.
  25. P25 Ability to adapt to new and emerging technologies.
  26. P26 Lifelong learning ability that includes the capacity to think critically about technological changes.

Po-Lo Matrix

LO P01 P02 P03 P04 P05 P06 P07 P08 P09 P10 P11 P12 P13 P14 P15 P16 P17 P18 P19 P20 P21 P22 P23 P24 P25 P26 Average
L01 - - - - - - - - - - - - - - - - - - - - - - - - - - -
L02 - - - - - - - - - - - - - - - - - - - - - - - - - - -
L03 - - - - - - - - - - - - - - - - - - - - - - - - - - -
L04 - - - - - - - - - - - - - - - - - - - - - - - - - - -
L05 - - - - - - - - - - - - - - - - - - - - - - - - - - -