CEN449 Introduction to Autonomous Robots

6 ECTS - 3-0 Duration (T+A)- 7. Semester- 3 National Credit

Information

Code CEN449
Name Introduction to Autonomous Robots
Term 2024-2025 Academic Year
Semester 7. Semester
Duration (T+A) 3-0 (T-A) (17 Week)
ECTS 6 ECTS
National Credit 3 National Credit
Teaching Language İngilizce
Level Lisans Dersi
Type Normal
Mode of study Yüz Yüze Öğretim
Catalog Information Coordinator Dr. Öğr. Üyesi Barış ATA
Course Instructor Dr. Öğr. Üyesi Barış ATA (A Group) (Ins. in Charge)


Course Goal / Objective

To learn the theoretical and algorithmic andaspects of the main techniques for robot autonomy, in particular motion planning, perception, localisation and SLAM.

Course Content

Fundamental guidelines for equipping mobile autonomous robots with planning, perception, and decision-making. Algorithmic methods for optimizing trajectories, planning robot motion, robot perception, and, simultaneous localization and mapping (SLAM).

Course Precondition

None

Resources

Nikolaus Correll, Bradley Hayes, Christoffer Heckman and Alessandro Roncone. Introduction to Autonomous Robots: Mechanisms, Sensors, Actuators, and Algorithms, MIT Press, 2022

Notes

S. Thrun, W. Burgard, D. Fox. Probabilistic Robotics. MIT Press, 2005


Course Learning Outcomes

Order Course Learning Outcomes
LO01 Gain a fundamental understanding of the autonomy approaches used in mobile autonomous robots.
LO02 Understand the current use and limitations of mobile robots.
LO03 Read and understand journal and conference papers describing current research in robotics.
LO04 Be able to generate a path for a robot moving around an area with obstacles.


Relation with Program Learning Outcome

Order Type Program Learning Outcomes Level
PLO01 Bilgi - Kuramsal, Olgusal Adequate knowledge of mathematics, science and related engineering disciplines; ability to use theoretical and applied knowledge in these fields in solving complex engineering problems. 5
PLO02 Bilgi - Kuramsal, Olgusal Ability to identify, formulate and solve complex engineering problems; ability to select and apply appropriate analysis and modeling methods for this purpose. 4
PLO03 Bilgi - Kuramsal, Olgusal Ability to design a complex system, process, device or product to meet specific requirements under realistic constraints and conditions; ability to apply modern design methods for this purpose.
PLO04 Bilgi - Kuramsal, Olgusal Ability to select and use modern techniques and tools necessary for the analysis and solution of complex problems encountered in engineering practice; ability to use information technologies effectively. 2
PLO05 Bilgi - Kuramsal, Olgusal Ability to design and conduct experiments, collect data, analyze and interpret results to investigate complex engineering problems or discipline-specific research topics.
PLO06 Bilgi - Kuramsal, Olgusal Ability to work effectively in interdisciplinary and multidisciplinary teams; individual working skills. 4
PLO07 Bilgi - Kuramsal, Olgusal Ability to communicate effectively verbally and in writing; knowledge of at least one foreign language; ability to write effective reports and understand written reports, prepare design and production reports, make effective presentations, and give and receive clear and understandable instructions. 5
PLO08 Bilgi - Kuramsal, Olgusal Awareness of the necessity of lifelong learning; ability to access information, follow developments in science and technology, and constantly renew oneself.
PLO09 Bilgi - Kuramsal, Olgusal Knowledge of ethical principles, professional and ethical responsibility, and standards used in engineering practice. 4
PLO10 Bilgi - Kuramsal, Olgusal Knowledge of business practices such as project management, risk management and change management; awareness of entrepreneurship and innovation; knowledge of sustainable development.
PLO11 Bilgi - Kuramsal, Olgusal Knowledge of the effects of engineering practices on health, environment and safety in universal and social dimensions and the problems of the age reflected in the field of engineering; awareness of the legal consequences of engineering solutions.


Week Plan

Week Topic Preparation Methods
1 Introduction Reading lecture notes Öğretim Yöntemleri:
Anlatım, Tartışma
2 Locomotion Reading lecture notes Öğretim Yöntemleri:
Anlatım, Tartışma
3 Mobile Robot Kinematics Reading lecture notes Öğretim Yöntemleri:
Anlatım, Tartışma
4 Grasping Reading lecture notes Öğretim Yöntemleri:
Anlatım, Tartışma
5 Actuators Reading lecture notes Öğretim Yöntemleri:
Anlatım, Tartışma
6 Sensors Reading lecture notes Öğretim Yöntemleri:
Anlatım, Tartışma
7 Introduction of Computer Vision Reading lecture notes Öğretim Yöntemleri:
Anlatım, Tartışma
8 Mid-Term Exam Reading research articles Ölçme Yöntemleri:
Ödev
9 Mapping Reading lecture notes Öğretim Yöntemleri:
Anlatım, Tartışma
10 Path Planning Reading lecture notes Öğretim Yöntemleri:
Anlatım, Tartışma
11 Manipulation Reading lecture notes Öğretim Yöntemleri:
Anlatım, Tartışma
12 Localization Reading lecture notes Öğretim Yöntemleri:
Anlatım, Tartışma
13 Simultaneous Localization and Mapping Reading lecture notes Öğretim Yöntemleri:
Anlatım, Tartışma
14 Article Presentations I Article scanning, presentation preparation Öğretim Yöntemleri:
Grup Çalışması, Proje Temelli Öğrenme , Örnek Olay
15 Article Presentations II Article scanning, presentation preparation Öğretim Yöntemleri:
Grup Çalışması, Proje Temelli Öğrenme , Örnek Olay
16 Term Exams Reading lecture notes Ölçme Yöntemleri:
Yazılı Sınav
17 Term Exams Reading lecture notes 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 1 15 15
Mid-term Exams (Written, Oral, etc.) 0 0 0
Final Exam 1 30 30
Total Workload (Hour) 157
Total Workload / 25 (h) 6,28
ECTS 6 ECTS

Update Time: 14.05.2024 10:31