Workshop 2: New Trends and Applications in Autonomous Carrier Technologies
Workshop 3: Surface / Underwater Robots and Applications
Tutorial Session 2: IEEE eLearning Courses
Tutorial Session 3: Human - Machine Interaction Demonstration
Workshop 1: Physical Human Robot Interaction and Applications (This workshop will be held in Turkish)
Time: June 26th 2019 Wednesday - 9:00-15:30
Place: MF 408 (Classroom)
Organizers:
Content: The aim of the workshop is to bring together researchers working on device and controller design and applications in the field of human-robot interaction and to increase the interaction between researches in this field.
Workshop Program:
Website: fire2019.yusuf-aydin.com
Workshop 2: New Trends and Applications in Autonomous Carrier Technologies (This workshop will be held in Turkish)
Time: June, 26th 2019 Wednesday - 9:00-15:30
Place: MF 407 (Classroom)
Organizers:
Content: The aim of this workshop is to share the national R & D studies and technological achievements on OTA which can work in industrial environments such as factories, warehouses.
Workshop Program:
Website: http://robotics.bau.edu.tr/tork2019ota
Workshop 3: Surface / Underwater Robots and its Applications (This workshop will be held in Turkish)
Time: June, 26th 2019 Wednesday - 13:30-17:40
Place: MF 408 (Classroom)
Organizers:
Content: The aim of the workshop is to introduce current and possible usage areas of underwater robots, and to guide the researchers who are new to the field and to inform the researchers working in this field about the research subjects. The workshop consists of presentations and a panel to be held after the presentations. In order to increase the number of studies done in our country, the panel will open up the discussion.
Workshop Program:
Website: https://www.robotikblogu.org/
Tutorial Session 1: Optimal Estimation, Kalman Filter and Mathematical Fundamentals of Hidden Markov Models (This tutorial session will be held in Turkish)
Time: June 26th 2019 - Wednesday: 13:30-18:00
Place: MF418 Computer Lab
Instructor: Kerem Altun, Işık University
Content: In this training session, firstly the optimal (best) methods for parameter estimation within the scope of static estimation theory and its mathematical foundations will be explained. Then Markov chains will be introduced with examples. Then, Markov models will be mentioned. After estimating the situation estimation problem in dynamic systems, static estimation methods will be expanded and Kalman filter equations will be given for discrete linear dynamic systems and intuitive interpretation and derivation of these equations will be discussed. These two methods, which are very difficult and complicated in the first encounter of the students, will be clarified with examples from the real physical systems and the similarity of the two methods will be discussed. For the nonlinear models, the basic Kalman Filter (Particle Filter) and Particle Filter methods will be introduced at the most basic level.
Website: -
Tutorial Session 2: IEEE eLearning Courses
Time: June 26th 2019 - Wednesday: 16:00-17:00
Place: MF408 Classroom
Instructor: Ms. Eszter Lukács, IEEE Technology Centre GmbH
Content: The IEEE eLearning Library
The premier collection of online continuing education courses for technical professionals.
Why Universities Need the IEEE eLearning Library
Website: https://ieeexplore.ieee.org/courses/home
Tutorial Session 3: Human Machine Interaction Demonstration (This tutorial session will be held in Turkish)
Time: 26 Haziran 2019 - Çarşamba: 17:00-18:00
Place: MF 408 (Sınıf)
Instructor: Fzt. Cengiz Demirkundak, Alpmed Manager
Content: The content and structure of the Xsens Full Body Motion Analysis system based on human interactive control will be explained in this course. Case studies on the simultaneous interaction of the user with a robot will be shown. The positioning of the sensors on the user and subsequent calibration process, as well as human movements and robot interactive movements will be shown. The use of these general sensors in the field of biomechanics will be explained with examples. In the second part of the training, human interaction control with Emotive EEG will be demonstrated. Similarly, examples of robot interactive systems will be shown.
