EE703 Intelligent Robotics I

6 ECTS - 3-0 Duration (T+A)- . Semester- 3 National Credit

Information

Code EE703
Name Intelligent Robotics I
Term 2023-2024 Academic Year
Term Fall
Duration (T+A) 3-0 (T-A) (17 Week)
ECTS 6 ECTS
National Credit 3 National Credit
Teaching Language İngilizce
Level Yüksek Lisans Dersi
Type Normal
Mode of study Yüz Yüze Öğretim
Catalog Information Coordinator Dr. Öğr. Üyesi CABBAR VEYSEL BAYSAL
Course Instructor
1


Course Goal / Objective

Main objective of the course is to teach the advanced methods (state-of the art) which are needed to design and produce autonomous , flexible , dexterous and intelligent robots, including use of the methods in various applications.

Course Content

Basic components of robotic systems, robot kinematics, robot dynamics and force control, sensor fusion, robot control architectures and behavior based reasoning, intelligent control techniques for task and motion control and robot learning.

Course Precondition

No prerequisite

Resources

Kevin M. Lynch and Frank C. Park, "Modern Robotics: Mechanics, Planning, and Control," Cambridge University Press, 2017.

Notes

J. Craig, "Introduction to Robotics", 3rd ed. Pearson Intl Inc . 2014 Bekey G., “Autonomous Robots”, MIT Press.,2005.


Course Learning Outcomes

Order Course Learning Outcomes
LO01 Learning basic components of robotic systems
LO02 Learning advanced robotic analysis methods
LO03 Learning robotic simulation basics with design examples
LO04 Being able to design and produce autonomous , flexible , dexterous and intelligent robots.


Relation with Program Learning Outcome

Order Type Program Learning Outcomes Level
PLO01 Bilgi - Kuramsal, Olgusal Being able to specialize in at least one of the branches that form the foundations of electrical-electronic engineering by increasing the level of knowledge beyond the undergraduate level. 4
PLO02 Bilgi - Kuramsal, Olgusal To comprehend the integrity of all the subjects included in the field of specialization. 5
PLO03 Bilgi - Kuramsal, Olgusal Knowing and following the current scientific literature in the field of specialization 4
PLO04 Bilgi - Kuramsal, Olgusal To be able to comprehend the interdisciplinary interaction of the field with other related branches. 3
PLO05 Bilgi - Kuramsal, Olgusal Ability to do theoretical and experimental work 5
PLO06 Bilgi - Kuramsal, Olgusal To create a complete scientific text by compiling the information obtained from the research. 4
PLO07 Bilgi - Kuramsal, Olgusal To work on the thesis topic programmatically, following the logical integrity required by the subject within the framework determined by the advisor. 3
PLO08 Bilgi - Kuramsal, Olgusal To search for literature in scientific databases, particularly the ability to correctly and accurately scan databases and evaluate and categorize listed items. 4
PLO09 Bilgi - Kuramsal, Olgusal Knowledge of English at a level that can easily read and understand a scientific text written in English in the field of specialization
PLO10 Bilgi - Kuramsal, Olgusal Compile information on his/her expertise in a presentation format and present it understandably and effectively. 4
PLO11 Bilgi - Kuramsal, Olgusal Ability to write a computer program in a familiar programming language, generally for a specific purpose, specifically related to the field of expertise. 3
PLO12 Bilgi - Kuramsal, Olgusal Being able to guide and take the initiative in environments that require solving problems related to the field
PLO13 Yetkinlikler - İletişim ve Sosyal Yetkinlik Ability to communicate with people in an appropriate language
PLO14 Yetkinlikler - Öğrenme Yetkinliği To be able to produce projects, policies, and processes in the field of expertise and to evaluate these elements
PLO15 Yetkinlikler - Öğrenme Yetkinliği Ability to research new topics based on existing research experience


Week Plan

Week Topic Preparation Methods
1 Basic components of robotic systems Self Study by reading lecture material Öğretim Yöntemleri:
Anlatım
2 Forward kinematics for robots Self Study by reading lecture material Öğretim Yöntemleri:
Anlatım
3 Inverse kinematics for robots Self Study by reading lecture material Öğretim Yöntemleri:
Anlatım
4 Dynamics of robots Self Study by reading lecture material Öğretim Yöntemleri:
Anlatım
5 Force control Self Study by reading lecture material Öğretim Yöntemleri:
Anlatım
6 Environment monitoring, sensing Self Study by reading lecture material Öğretim Yöntemleri:
Anlatım
7 Sensor fusion Self Study by reading lecture material Öğretim Yöntemleri:
Anlatım
8 Mid-Term Exam Self Study by reading lecture material Ölçme Yöntemleri:
Yazılı Sınav
9 Robot control architectures and behavior based reasoning Self Study by reading lecture material Öğretim Yöntemleri:
Anlatım
10 Intelligent control methods for robot task control Self Study by reading lecture material Öğretim Yöntemleri:
Anlatım
11 Intelligent control methods for robot motion control Self Study by reading lecture material Öğretim Yöntemleri:
Anlatım
12 Robot learning-1 Self Study by reading lecture material Öğretim Yöntemleri:
Anlatım
13 Robot learning-2 Self Study by reading lecture material Öğretim Yöntemleri:
Anlatım
14 Student project presentations-1 Preparation for project simulation and presentation Öğretim Yöntemleri:
Tartışma, Alıştırma ve Uygulama, Benzetim, Problem Çözme
15 Student project presentations Preparation for project simulation and presentation Öğretim Yöntemleri:
Tartışma, Alıştırma ve Uygulama, Benzetim, Bireysel Çalışma
16 Term Exams Self Study by reading lecture material Ölçme Yöntemleri:
Yazılı Sınav
17 Term Exams Self Study by reading lecture material Ölçme Yöntemleri:
Yazılı Sınav


Student Workload - ECTS

Works Number Time (Hour) Workload (Hour)
Course Related Works
Class Time (Exam weeks are excluded) 14 3 42
Out of Class Study (Preliminary Work, Practice) 14 5 70
Assesment Related Works
Homeworks, Projects, Others 0 0 0
Mid-term Exams (Written, Oral, etc.) 1 15 15
Final Exam 1 30 30
Total Workload (Hour) 157
Total Workload / 25 (h) 6,28
ECTS 6 ECTS

Update Time: 10.05.2023 11:07