BMM0051 Intelligent Robotics - I

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

Information

Code BMM0051
Name Intelligent Robotics - I
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 Türkçe
Level Doktora Dersi
Type Normal
Mode of study Yüz Yüze Öğretim
Catalog Information Coordinator


Course Goal / Objective

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 first part of the "Intelligent Robotics" course, which consists of two parts. Introduction to Robotics. Basic components of robotic systems. Robot Kinematics-1 (Forward kinematics) . Robot Kinematics-2 (Inverse kinematics). Robot Kinematics-3 (Velocity kinematics). Robot Dynamics-1 (Newton-Euler). Robot Dynamics-2 (Lagrangian). Force control in robots. Trajectory planning in robots. Robot environment sensing and sensor integration. Robot control structures and behavior-based decision making. Intelligent methods for robot task and motion control. Learning in robots.

Course Precondition

No prerequisite

Resources

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

Notes

Jazar R.N., “Theory of Applied Robotics”, Springer Inc. 2010.


Course Learning Outcomes

Order Course Learning Outcomes
LO01 Apply the acquired knowledge, comprehension and problem solving skills in the field of robotics.
LO02 Independently performs a specialized study in the field of robot design and analysis.
LO03 Gains the skill of making literature review in the field of intelligent robotics.
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. 5
PLO03 Beceriler - Bilişsel, Uygulamalı Analyzing data, making theoretical and simulation based designs, designing experiments and interpreting the results. 4
PLO04 Beceriler - Bilişsel, Uygulamalı Developing researched contemporary techniques, software, hardware and computational tools for engineering applications. 3
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. 4
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. 3
PLO09 Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği The ability to act independently, set priorities and be creative.
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 Introduction to Robotics. Self Study by reading lecture material Öğretim Yöntemleri:
Anlatım
2 Basic components of robotic systems. Self Study by reading lecture material Öğretim Yöntemleri:
Anlatım
3 Robot Kinematics-1 (Forward kinematics) . Self Study by reading lecture material Öğretim Yöntemleri:
Anlatım
4 Robot Kinematics-2 (Inverse kinematics). Self Study by reading lecture material Öğretim Yöntemleri:
Anlatım
5 Robot Kinematics-3 (Velocity kinematics). Self Study by reading lecture material Öğretim Yöntemleri:
Anlatım
6 Robot Dynamics-1 (Newton-Euler). Self Study by reading lecture material Öğretim Yöntemleri:
Anlatım
7 Robot Dynamics-2 (Lagrangian). 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 Force control in robots. Self Study by reading lecture material Öğretim Yöntemleri:
Anlatım
10 Trajectory planning in robots. Self Study by reading lecture material Öğretim Yöntemleri:
Anlatım
11 Robot environment sensing and sensor fusion. Self Study by reading lecture material Öğretim Yöntemleri:
Anlatım
12 Robot control structures and behavior-based decision making. Self Study by reading lecture material Öğretim Yöntemleri:
Anlatım
13 Intelligent methods for robot task and motion control. Self Study by reading lecture material Öğretim Yöntemleri:
Anlatım
14 Learning in robots. Self Study by reading lecture material Öğretim Yöntemleri:
Anlatım
15 Student presentations Self Study by reading lecture material Öğretim Yöntemleri:
Gösteri
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

Update Time: 18.11.2022 05:29