CENG043 Advanced Topics in Robot Manipulation

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

Information

Code CENG043
Name Advanced Topics in Robot Manipulation
Semester . Semester
Duration (T+A) 3-0 (T-A) (17 Week)
ECTS 6 ECTS
National Credit 3 National Credit
Teaching Language İngilizce
Level Doktora Dersi
Type Normal
Mode of study Yüz Yüze Öğretim
Catalog Information Coordinator Dr. Öğr. Üyesi Barış ATA


Course Goal

This course is intended for students who have a strong background in robotics and want to delve deeper into the field of robot manipulation. Students will gain hands-on experience with state-of-the-art software tools for robot manipulation, and they will be expected to complete a research project.

Course Content

This course covers advanced topics in robot manipulation, including dexterous manipulation, in-hand manipulation, and hybrid manipulation. Topics also include contact modeling and estimation, grasp planning and synthesis, and object manipulation under uncertainty.

Course Precondition

Undergraduate-level courses in robotics, mathematics, and computer science Graduate-level courses in robotics and control theory.

Resources

"Planning Algorithms" by S. M. LaValle “A Mathematical Introduction to Robotic” by R. Murray, Z. Li, and S. Sastry

Notes

“Springer Handbook of Robotics” by B. Siciliano and O. Khatib Research papers and articles on advanced topics in robot manipulation


Course Learning Outcomes

Order Course Learning Outcomes
LO01 Analyze and model robot manipulators, including kinematics and dynamics
LO02 Develop advanced control strategies for robot manipulation tasks
LO03 Plan and execute robot manipulation tasks in simulation environments
LO04 Implement perception algorithms for robot manipulation tasks
LO05 Conduct original research in the field of robot manipulation


Relation with Program Learning Outcome

Order Type Program Learning Outcomes Level
PLO01 Bilgi - Kuramsal, Olgusal On the basis of the competencies gained at the undergraduate level, it has an advanced level of knowledge and understanding that provides the basis for original studies in the field of Computer Engineering. 4
PLO02 Bilgi - Kuramsal, Olgusal By reaching scientific knowledge in the field of engineering, he/she reaches the knowledge in depth and depth, evaluates, interprets and applies the information. 3
PLO03 Yetkinlikler - Öğrenme Yetkinliği Being aware of the new and developing practices of his / her profession and examining and learning when necessary. 2
PLO04 Yetkinlikler - Öğrenme Yetkinliği Constructs engineering problems, develops methods to solve them and applies innovative methods in solutions. 2
PLO05 Yetkinlikler - Öğrenme Yetkinliği Designs and applies analytical, modeling and experimental based researches, analyzes and interprets complex situations encountered in this process. 4
PLO06 Yetkinlikler - Öğrenme Yetkinliği Develops new and / or original ideas and methods, develops innovative solutions in system, part or process design.
PLO07 Beceriler - Bilişsel, Uygulamalı Has the skills of learning. 2
PLO08 Beceriler - Bilişsel, Uygulamalı Being aware of new and emerging applications of Computer Engineering examines and learns them if necessary. 1
PLO09 Beceriler - Bilişsel, Uygulamalı Transmits the processes and results of their studies in written or oral form in the national and international environments outside or outside the field of Computer Engineering.
PLO10 Beceriler - Bilişsel, Uygulamalı Has comprehensive knowledge about current techniques and methods and their limitations in Computer Engineering. 1
PLO11 Beceriler - Bilişsel, Uygulamalı Uses information and communication technologies at an advanced level interactively with computer software required by Computer Engineering. 2
PLO12 Bilgi - Kuramsal, Olgusal Observes social, scientific and ethical values in all professional activities. 2


Week Plan

Week Topic Preparation Methods
1 Introduction to Robot Manipulation Reading the lecture notes Öğretim Yöntemleri:
Anlatım
2 Robot Motion Planning Reading the lecture notes Öğretim Yöntemleri:
Anlatım
3 Trajectory Generation and Control Reading the lecture notes Öğretim Yöntemleri:
Anlatım
4 Grasping and Manipulation Reading the lecture notes Öğretim Yöntemleri:
Anlatım
5 Robot Perception Reading the lecture notes Öğretim Yöntemleri:
Anlatım
6 Vision-Based Manipulation Reading the lecture notes Öğretim Yöntemleri:
Anlatım
7 Force and Tactile Feedback Reading the lecture notes Öğretim Yöntemleri:
Anlatım
8 Mid-Term Exam Reading the lecture notes Ölçme Yöntemleri:
Yazılı Sınav
9 Human-Robot Interaction Reading the lecture notes Öğretim Yöntemleri:
Anlatım
10 Robot Learning Reading the lecture notes Öğretim Yöntemleri:
Anlatım
11 Multi-Robot Manipulation Reading the lecture notes Öğretim Yöntemleri:
Anlatım
12 Robot Perception for Manipulation Reading the lecture notes Öğretim Yöntemleri:
Anlatım
13 Advanced Topics in Robot Manipulation Reading the lecture notes Öğretim Yöntemleri:
Anlatım
14 Research Project Presentations Reading the lecture notes Öğretim Yöntemleri:
Anlatım
15 Research Project Presentations II Reading the lecture notes Öğretim Yöntemleri:
Anlatım
16 Term Exams Reading the lecture notes Ölçme Yöntemleri:
Yazılı Sınav
17 Term Exams Reading the 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 0 0 0
Mid-term Exams (Written, Oral, etc.) 1 14 14
Final Exam 1 28 28
Total Workload (Hour) 154
Total Workload / 25 (h) 6,16
ECTS 6 ECTS