MK017 Autonomous Robotic Systems

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

Information

Code MK017
Name Autonomous Robotic Systems
Term 2022-2023 Academic Year
Semester . Semester
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


Course Goal / Objective

Evaluation of the structure of autonomous robotic systems, examination of the mechanical, electrical, electronic and software systems of autonomous robots and providing an understanding of their structural characteristics

Course Content

Introduction to autonomous robot systems. Elements of autonomous robot systems. Mechanical, electrical, electronic and software systems of autonomous robots. Sensor and navigation system development for autonomous robots. Control architectures for autonomous robot systems. Behaviour based robotics. autonomous robot control and sensor fusion. Sensor controller interface and data acquisition.

Course Precondition

Requires basic knowledge of robot systems and related mechanics, electronics, sensors and actuators as well as software structures.

Resources

Presentations, reference books 1) Maria Gini, Richard Voyles, Distributed Autonomous Robotic Systems, Springer, 2006. 2) Roland Siegwart , Illah Reza Nourbakhsh, Introduction to Autonomous Mobile Robots, MIT,2011. 3) Robin R. Murphy, Introduction to AI Robotics, MIT, 2019. 4) George A. Bekey, Autonomous Robots: From Biological Inspiration to Implementation and Control, MIT, 2005. 5) Hanky Sjafrie, Introduction to Self-Driving Vehicle Technology, CRC Press, 2020.

Notes

Additional References: 1) Metin Sitti, Mobile Microrobotics, MIT, 2017. 2) Nak-Young Chong, Young-Jo Cho, Distributed Autonomous Robotic Systems: The 12th International Symposium, Springer, 2016. 3) H. R. Everett, Unmanned Systems of World Wars I and II, MIT, 2015.


Course Learning Outcomes

Order Course Learning Outcomes
LO01 Defines the autonomy classification
LO02 Describes autonomous robot systems
LO03 Lists the elements of autonomous robot systems
LO04 Explains the mechanical structures of autonomous robots
LO05 Describes the electrical, electronic and software systems of autonomous robots.
LO06 Defines the sensor and navigation system for autonomous robots
LO07 Defines control architectures for autonomous robot systems.
LO08 Explains the control structure of behaviour-based robots.
LO09 Explains the fusion of autonomous robot controller and sensory system.


Relation with Program Learning Outcome

Order Type Program Learning Outcomes Level
PLO01 Bilgi - Kuramsal, Olgusal Understands and applies basic sciences, mathematics and engineering sciences at a high level. 5
PLO02 Bilgi - Kuramsal, Olgusal He/she has extensive and in-depth knowledge, including the latest developments in his/her field. 5
PLO03 Beceriler - Bilişsel, Uygulamalı They reach the latest information in a field and have a high level of proficiency in the methods and skills necessary to comprehend and research them. 4
PLO04 Beceriler - Bilişsel, Uygulamalı They carry out a comprehensive study that brings innovation to science and technology, develops a new scientific method or technological product/process, or applies a known method to a new field. 4
PLO05 Beceriler - Bilişsel, Uygulamalı Independently perceives, designs, implements and concludes an original research process; manages this process. 5
PLO06 Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği Contributes to the science and technology literature by publishing the outputs of its academic studies in respected academic environments. 5
PLO07 Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği Evaluates scientific, technological, social and cultural developments and conveys them to the society with the awareness of scientific impartiality and ethical responsibility. 4
PLO08 Yetkinlikler - İletişim ve Sosyal Yetkinlik Performs critical analysis, synthesis and evaluation of ideas and developments in the field of expertise. 4
PLO09 Yetkinlikler - İletişim ve Sosyal Yetkinlik Communicates effectively, both verbally and in writing, with those working in the field of specialization and the wider scientific and social community, communicating and discussing at an advanced level of written, oral and visual communication using a foreign language at least at the C1 General Level of the European Language Portfolio. 4
PLO10 Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği Carring out literature survey


Week Plan

Week Topic Preparation Methods
1 Classification of Autonomy and Autonomousness. Reviewing of lecture notes and reference books Öğretim Yöntemleri:
Anlatım
2 Introduction to autonomous robot systems. Reviewing of lecture notes and reference books Öğretim Yöntemleri:
Anlatım
3 Autonomous robot examples Reviewing of lecture notes and reference books Öğretim Yöntemleri:
Anlatım
4 Elements of autonomous robot systems. Reviewing of lecture notes and reference books Öğretim Yöntemleri:
Anlatım
5 Mechanical and electrical structures of robots Reviewing of lecture notes and reference books Öğretim Yöntemleri:
Anlatım
6 Electronics and DPS features of of robots Reviewing of lecture notes and reference books Öğretim Yöntemleri:
Anlatım
7 Software systems of autonomous robots. Reviewing of lecture notes and reference books Öğretim Yöntemleri:
Anlatım
8 Written Exam Preparation for exam Ölçme Yöntemleri:
Yazılı Sınav
9 Sensor system development for autonomous robots. Reviewing of lecture notes and reference books Öğretim Yöntemleri:
Anlatım
10 Navigation system development for autonomous robots. Reviewing of lecture notes and reference books Öğretim Yöntemleri:
Anlatım
11 Control architectures for autonomous robot systems. Reviewing of lecture notes and reference books Öğretim Yöntemleri:
Anlatım
12 Reactive robotics. Reviewing of lecture notes and reference books Öğretim Yöntemleri:
Anlatım
13 Autonomous robot control and sensor fusion. Reviewing of lecture notes and reference books Öğretim Yöntemleri:
Anlatım
14 Sensor controller interface Reviewing of lecture notes and reference books Öğretim Yöntemleri:
Anlatım
15 Data acquisition systems Reviewing of lecture notes and reference books Öğretim Yöntemleri:
Anlatım
16 Final Exam Preparation for exam Ölçme Yöntemleri:
Yazılı Sınav
17 Final Exam Preparation for exam 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: 18.11.2022 01:11