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
1


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 Has capability in the fields of mathematics, science and computer that form the foundations of engineering 5
PLO02 Bilgi - Kuramsal, Olgusal Identifies, formulates, and solves engineering problems, selects and applies appropriate analytical methods and modeling techniques, 4
PLO03 Bilgi - Kuramsal, Olgusal Analyzes a system, its component, or process and designs under realistic constraints to meet the desired requirements,gains the ability to apply the methods of modern design accordingly.
PLO04 Bilgi - Kuramsal, Olgusal Ability to use modern techniques and tools necessary for engineering practice and information technologies effectively. 2
PLO05 Bilgi - Kuramsal, Olgusal Ability to design and to conduct experiments, to collect data, to analyze and to interpret results
PLO06 Bilgi - Kuramsal, Olgusal Has ability to work effectively as an individual and in multi-disciplinary teams, take sresponsibility and builds self-confidence 4
PLO07 Beceriler - Bilişsel, Uygulamalı Can access information,gains the ability to do resource research and uses information resources 5
PLO08 Beceriler - Bilişsel, Uygulamalı Awareness of the requirement of lifelong learning, to follow developments in science and technology and continuous self-renewal ability
PLO09 Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği Ability to communicate effectively orally and in writing, and to read and understand technical publications in at least one foreign language 4
PLO10 Yetkinlikler - Öğrenme Yetkinliği Professional and ethical responsibility,
PLO11 Yetkinlikler - Öğrenme Yetkinliği Awareness about project management, workplace practices, employee health, environmental and occupational safety, and the legal implications of engineering applications,
PLO12 Yetkinlikler - Öğrenme Yetkinliği Becomes aware of universal and social effects of engineering solutions and applications, entrepreneurship and innovation, and knowledge of contemporary issues


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