Turkish: romer.metu.edu.tr/tr/robotics 

Application: fbe.metu.edu.tr/en/announcement/graduate-program-applications-fall-semester

Admission Criteria

Application Criteria for M.Sc. and Ph.D. Programs:

• B.Sc. GPA ≥ 2.5
• METU EPE ≥ 65 / TOEFL IBT ≥ 79 / IELTS ≥ 6.5
• ALES (Quantitative) ≥ 80 / GRE (revised) ≥ 161
• A letter of intent
• Two reference letters
• Interview and Scientific Evaluation

*Candidates are advised to contact the faculty members related to the field in which they intend to do the thesis. The candidate's participation in a research project of a faculty member or the fact that they have determined the research program together with the faculty member will be evaluated positively by the committee.

Application Criteria for Ph.D. on B.Sc. Program:

• B.Sc. GPA ≥ 3.0
• METU EPE ≥ 65 / TOEFL IBT ≥ 79 / IELTS ≥ 6.5
• ALES (Quantitative) ≥ 80 / GRE (revised) ≥ 161
• A letter of intent
• Two reference letters
• Interview and Scientific Evaluation

*Candidates are advised to contact the faculty members related to the field in which they intend to do the thesis. The candidate's participation in a research project of a faculty member or the fact that they have determined the research program together with the faculty member will be evaluated positively by the committee.

Graduate Programs 

M.Sc.	Ph.D.	Ph.D. on B.Sc.
6 elective (with credit) courses	6 elective (with credit) courses	13 elective (with credit) courses
ROB 501 Fundamentals & Emerging Topics in Robotics	(*)ROB 501 Fundamentals & Emerging Topics in Robotics	ROB 501 Fundamentals & Emerging Topics in Robotics
ROB 590 Seminar in Robotics	ROB 690 Seminar in Robotics	ROB 690 Seminar in Robotics
(**)ME 599 Research Methods and Ethics in Engineering EE 595 Research Methods and Ethical Issues in Electrical and Electronics Engineering  CENG 590 Research Methods and Ethics AEE 729 Ethical Behaviour in Engineering	(**)(***)ME 599 Research Methods and Ethics in Engineering EE 595 Research Methods and Ethical Issues in Electrical and Electronics Engineering  CENG 590 Research Methods and Ethics AEE 729 Ethical Behaviour in Engineering	(**)ME 599 Research Methods and Ethics in Engineering EE 595 Research Methods and Ethical Issues in Electrical and Electronics Engineering  CENG 590 Research Methods and Ethics AEE 729 Ethical Behaviour in Engineering
ROB 500 M.S. Thesis	ROB 600 Ph.D. Thesis	ROB 600 Ph.D. Thesis
ROB 8XX Special Studies	ROB 9XX Advanced Studies	ROB 9XX Advanced Studies
7 courses with credit  (21 credits)	7 courses with credit (21 credits)	14 courses with credit (42 credits)

(*) Students who have taken the ROB 501 Fundamentals & Emerging Topics in Robotics course in the master's program and have been successful are exempted.

(**)The student has to take the ethics course of the department where the thesis advisor is. In this context, it is compulsory to take only one of the ME 599, EE 595, CENG 590 and AEE 729 courses.

(***) Students who have taken one of the ME 599, EE 595, CENG 590 and AEE 729 courses in the master's program and have been successful are exempted.

Elective Course Rules for M.Sc. and Ph.D. Programs:

1.  Students must take at least one course from each of the following departments.

• Department of Computer Engineering

• Department of Electrical and Electronics Engineering

• Department of Mechanical Engineering

2.  Students can take a maximum of 3 courses from a single department.

3.  Students must take at least 3 of the elective courses defined in the Robotics Course Pool.

 

Elective Course Rules for Ph.D. on B.Sc. Program:

1.  Students must take at least two courses from each of the following departments.

• Department of Computer Engineering

• Department of Electrical and Electronics Engineering

• Department of Mechanical Engineering

2.  Students can take a maximum of 6 courses from a single department.

3.  Students must take at least 7 of the elective courses defined in the Robotics Course Pool.

 

 

Department Courses

 

ROB Courses

ROB 501 - Fundamentals & Emerging Topics in Robotics (3-0)3

Transformations, robot operating systems, kinematics, dynamics. State-space techniques: Controllability, observability, pole placement and estimator design. Discrete-time control systems. Bayesian estimation theory: Bayesian recursion, Kalman  filters, extended Kalman filter, interacting multiple filters. Configuration space, roadmaps, graph search techniques, planning methods.

ROB 590 - Seminar in Robotics (0-2) NC

In this course, the students are expected to make a presentation about their on-going thesis work, and they listen to other students’ speeches. The thesis supervisor and/or co-supervisor will also attend the seminar of their own students. The presentation must include a literature survey, intended contributions and the preliminary works on the thesis subject. Additionally, the students will attend seminars organized or approved by the robotics graduate program.

This course also aims to improve students’ research and presentation skills through academic practices, such as in-class and/or online tutorials.

ROB 690 - Seminar in Robotics (0-2) NC

The students will attend seminars organized or approved by the robotics graduate program. This course also aims to improve students’ research and presentation skills through academic practices, such as in-class and/or online tutorials.

 

Robotics Course Pool:

Computer Engineering Department

CENG501 Deep Learning

CENG502 Advanced Deep Learning

CENG585 Fundamentals Of Autonomous Robotics

CENG782 Planning of Robotic Manipulation

CENG786 Robot Motion Planning and Control

CENG787 Robot Locomotion: Models and Algorithms

CENG788 Learning and Development in Robotics

CENG561 Artificial Intelligence

CENG562 Machine Learning

CENG564 Pattern Recognition

CENG580 Multiagent Systems

CENG583 Computer Vision

CENG732 Computer Animation

CENG796 Deep Generative Models

 Electrical - Electronics Engineering Department

EE501 Linear Systems Theory I

EE502 Linear Systems Theory II

EE543 Neurocomputers And Deep Learning

EE553 Optimization

EE554 Optimal Control Theory

EE555 Stability Theory Of Dynamical Systems

EE557 Estimation Theory

EE558 System Identification & Adaptive Control

EE559 Intelligent Control

EE583 Pattern Recognition

EE584 Machine Vision

EE585 Probabilistic Robotics

EE586 Artificial Intelligence

EE587 Introduction To Robotics

EE588 Robot Hand: Dynamics Of Manipulation

EE5420 Machine Learning by Probabilistic Models

EE7551 Discrete Event Systems: Modelling & Control

Aerospace Engineering Department

AE501 Advanced Mathematics for Engineers I

AE502 Advanced Mathematics for Engineers II

AE581 Automatic Flight Control Systems

AE582 Robust Control in Aerospace Systems

AE584 Helicopter Dynamics, Stability and Control

 

Mechanical Engineering Department

ME502 Advanced Dynamics

ME506 Dynamics of Nonlinear Systems

ME507 Applied Optimal Control

ME511 Modern Control

ME513 Vehicle Dynamics

ME519 Kinematic Analysis of Mechanisms

ME520 Analysis and Measurement Techniques for Random Vibrations and Noise

ME522 Principles of Robotics

ME532 Advanced Machinery Vibrations

ME533 Computer Aided Design

ME534 Computer Control of Machines

ME536 Design of Intelligent Machines

ME551 Design of High Precision CNC Machinery

Faculty Members

Member  Name Surname	Academic Title	Department	Research Areas
Emre Akbaş	Asst. Prof.	Computer Engineering	Computer Vision, Machine Learning
Ramazan Gökberk Cinbiş	Asst. Prof.	Computer Engineering	Computer Vision, Human-Robot Interaction, Reinforcement Learning, Machine Learning
Pelin Angın	Asst. Prof.	Computer Engineering	Multi-Robot Systems, Reinforcement Learning, Machine Learning
Sinan Kalkan	Assoc. Prof.	Computer Engineering	Computer Vision, Pattern Recognition, Developmental Robotics
Uluç Saranlı	Prof. Dr.	Computer Engineering	Robot Programming Architectures, Legged Robots, Embedded Systems
Erol Şahin	Assoc. Prof.	Computer Engineering	Computer Vision, Multi-Robot Systems, Human-Robot Interaction, Positioning/ Motion Planning, Reinforcement Learning, Robot Control Architectures, Perceptual Systems / Architectures, Machine Learning
M. Mert Ankaralı	Asst. Prof.	Elektrik ve Elektronik Mühendisliği	Sensors / Actuators, Human-Robot Interaction, Control Systems, Positioning/ Motion Planning, Mechatronics / Robot Design, Robot Control Architectures, Perceptual Systems / Architectures
Emre Özkan	Assoc. Prof.	Elektrik ve Elektronik Mühendisliği	Statistical Signal Processing, Estimation Theory, Sensor Fusion, Target Tracking
Afşar Saranlı	Prof. Dr.	Elektrik ve Elektronik Mühendisliği	Legged Robots, Estimation Theory, Tracking and Navigation, Signal and Image Processing
Ozan Keysan	Assoc. Prof.	Elektrik ve Elektronik Mühendisliği	Renewable Energy, Motor Drivers, Power Electronics
İlkay Ulusoy	Prof. Dr.	Elektrik ve Elektronik Mühendisliği	Signal Processing, Machine Learning, Pattern Recognition, Computer Vision, Probabilistic Graphical Models
İlkay Yavrucuk	Assoc. Prof.	Havacılık ve Uzay Mühendisliği	Adaptive and Intelligent Control, Flight Mechanics, Unmanned Aerial Vehicles
Ahmet Buğra Koku	Assoc. Prof.	Makina Mühendisliği	Mechatronics, Mobile Robots, Robot Control Architectures, Robot Learning, Qualitative Navigation
Erhan İlhan Konukseven	Prof. Dr.	Makina Mühendisliği	Computer Vision, Sensors, Control Systems
Yiğit Yazıcıoğlu	Assoc. Prof.	Makina Mühendisliği	Vehicle Dynamics, Legged Robots, Control Theory, Automotive Engineering
Ali Emre Turgut	Asst. Prof.	Makina Mühendisliği	Swarm Robotics, Mechatronics, Evolutionary Robotics, Unmanned Aerial Vehicles

Contact: robotik@metu.edu.tr