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Information
| Code | BMM0048 |
| Name | Intelligent Robotics- II |
| Semester | . Semester |
| Duration (T+A) | 3-0 (T-A) (17 Week) |
| ECTS | 6 ECTS |
| National Credit | 3 National Credit |
| Teaching Language | Türkçe |
| Level | Doktora Dersi |
| Type | Normal |
| Mode of study | Yüz Yüze Öğretim |
| Catalog Information Coordinator |
Course Goal
The main objective of the course is to teach the advanced methods required in the design of today's autonomous, intelligent, flexible and dexterous robots with various applications.
Course Content
This course is the second part of the "Intelligent Robotics" course, which consists of two parts. Autonomous mobile robots-1 (AGV). Autonomous mobile robots-2 (UAV). Robot Vision-1 (Image Processing). Robot Vision-2 (Visual Servo). Instant positioning and mapping (SLAM). Biologically based robot control and applications. Introduction to humanoid robots. Kinematic and dynamic structures of humanoid robots. Walking in legged robots. Posture and balance control in legged robots. Human-robot interaction and interfaces. Social service robots. Service robots.
Course Precondition
Intelligent Robotics-I
Resources
Bekey G., “Autonomous Robots”, MIT Press.,2005.
Notes
Kevin M. Lynch and Frank C. Park, "Modern Robotics: Mechanics, Planning, and Control," Cambridge University Press, 2017.
Course Learning Outcomes
| Order | Course Learning Outcomes |
|---|---|
| LO01 | Apply the acquired knowledge, insight and problem-solving skills in the field of intelligent robotics. |
| LO02 | Gains the skill of making literature review in the field of intelligent robotics. |
| LO03 | Independently performs a special study in the field of intelligent robot analysis. |
| LO04 | Independently performs a basic level study on intelligent robot design. |
Relation with Program Learning Outcome
| Order | Type | Program Learning Outcomes | Level |
|---|---|---|---|
| PLO01 | Bilgi - Kuramsal, Olgusal | To be able to reach new solutions by applying current and advanced technical approaches of mathematics, science and engineering sciences to current scientific problems encountered in the field of medicine and medical technologies. | 5 |
| PLO02 | Yetkinlikler - Öğrenme Yetkinliği | Having knowledge of the literature related to a sub-discipline of biomedical engineering, defining and modeling current problems, and being a specialist in that discipline. | 4 |
| PLO03 | Beceriler - Bilişsel, Uygulamalı | Analyzing data, making theoretical and simulation based designs, designing experiments and interpreting the results. | 5 |
| PLO04 | Beceriler - Bilişsel, Uygulamalı | Developing researched contemporary techniques, software, hardware and computational tools for engineering applications. | 4 |
| PLO05 | Beceriler - Bilişsel, Uygulamalı | To be able to analyze and design a process in line with a defined target. | 3 |
| PLO06 | Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği | To be able to carry out scientific studies with medical doctors and members of other disciplines from an engineering point of view. | 3 |
| PLO07 | Yetkinlikler - İletişim ve Sosyal Yetkinlik | Expressing one's own findings orally and in writing, clearly and concisely, writing conference and journal papers. | 4 |
| PLO08 | Yetkinlikler - Öğrenme Yetkinliği | To be able to improve oneself by embracing the importance of lifelong learning and by following the developments in science-technology and contemporary issues. | 4 |
| PLO09 | Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği | The ability to act independently, set priorities and be creative. | 3 |
| PLO10 | Yetkinlikler - Alana Özgü Yetkinlik | Being aware of national and international contemporary scientific and social problems in the field of Biomedical Engineering. | |
| PLO11 | Yetkinlikler - Alana Özgü Yetkinlik | To be able to evaluate the contribution of engineering solutions to problems in medicine, medical technologies and health in a global and social context. |
Week Plan
| Week | Topic | Preparation | Methods |
|---|---|---|---|
| 1 | Autonomous mobile robots-1 (AGV). | Self Study by reading lecture material | Öğretim Yöntemleri: Anlatım |
| 2 | Autonomous mobile robots-2 (UAV). | Self Study by reading lecture material | Öğretim Yöntemleri: Anlatım |
| 3 | Robot Vision-1 (Image Processing). | Self Study by reading lecture material | Öğretim Yöntemleri: Anlatım |
| 4 | Robot Vision-2 (Visual Servo). | Self Study by reading lecture material | Öğretim Yöntemleri: Anlatım |
| 5 | Simultaneous positioning and mapping (SLAM). | Self Study by reading lecture material | Öğretim Yöntemleri: Anlatım |
| 6 | Biologically inspired robot control and applications. | Self Study by reading lecture material | Öğretim Yöntemleri: Anlatım |
| 7 | Introduction to humanoid robots. | Self Study by reading lecture material | Öğretim Yöntemleri: Anlatım |
| 8 | Mid-Term Exam | Self Study by reading lecture material and problem solving | Ölçme Yöntemleri: Yazılı Sınav |
| 9 | Kinematic analysis of humanoid robots. | Self Study by reading lecture material | Öğretim Yöntemleri: Anlatım |
| 10 | Dynamic analysis of humanoid robots. | Self Study by reading lecture material | Öğretim Yöntemleri: Anlatım |
| 11 | Walking in legged robots. | Self Study by reading lecture material | Öğretim Yöntemleri: Anlatım |
| 12 | Posture and balance control in legged robots. | Self Study by reading lecture material | Öğretim Yöntemleri: Anlatım |
| 13 | Human-robot interaction and interfaces. | Self Study by reading lecture material | Öğretim Yöntemleri: Anlatım |
| 14 | Social service robots. | Self Study by reading lecture material | Öğretim Yöntemleri: Anlatım |
| 15 | Field service robots. | Self Study by reading lecture material | Öğretim Yöntemleri: Anlatım |
| 16 | Term Exams | Self Study by reading lecture material and problem solving | Ölçme Yöntemleri: Yazılı Sınav |
| 17 | Term Exams | Self Study by reading lecture material and problem solving | 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 | ||