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Prof Dr. Kemal Leblebicioğlu
Middle East Technical University, Turkey
Kemal Leblebicioğlu is a full professor of Electrical and Electronics Engineering Department of METU since 1999. He has a background in optimization, optimal control theory, computer vision, intelligent systems, flight control, walking robots and unmanned vehicles. He got a Ph.D. from the Mathematics Department of Middle East Technical University, on 1988, His Ph.D. thesis is "An Optimal Control Problem with Nonlinear Elliptic State Equations". He is in several IFAC technical committees. He was the editor of the Journal “ELEKTRIK” published by TUBITAK (Turkish Scientific and Technical Research Council) from 1996 to 2009. He is in the editorial board of several Turkish technical journals. He conducted several R&D projects as project leader and researcher, gave consultancy to several civilian and government research centers. Nowadays he makes research on decision making systems and on unmanned vehicles, in particular, unmanned air and underwater vehicles. He is the director of unmanned sea vehicles division of METU/Biltir Center. Additionally, He is one of the co-owners and co-partners of the company Desistek which is specialized in unmanned sea vehicles, in particular ROVs and buoys
Speech Title: Modellıng, Control And Desıgn Of A Heavy-Lıft Quadcopter Wıth A Combınatıon Of Two Large And Two Small Rotors
Abstract: Aerial robotics is a fast-growing field of robotics and multirotor aircraft. Quadcopter aerial robotic vehicles have become a standard platform among academics, engineers and hobbyists alike due to their mechanical simplicity and availability. For increasing the scope of commercial uses, there is a demand to improve the flight time endurance and payload capacity of current solutions. Therefore, the studies on airframe design, system design, battery and other technologies are hot study topics worldwide. We have attacked the problem of efficiency by proposing a quadcopter design which consist of two large propellers to carry the main payload, and two small propellers for controlling the attitude and improving the stability. There will be no swashplates or tilting rotors in the proposed design since our focus is to guarantee the efficiency while reducing the mechanical complexity.
Our proposed study includes a mathematical modelling, control and design of a distinctive type of quadcopter with a target of 4-7 kg payload capacity and 10-20 minute flight time. Due to relatively heavy payload requirement, quadcopter will have to be heavy as well reducing agility. But this added weight will help against the wind disturbance. The mathematical model and flight controller introduced in this work include the challenges of rotor dynamics resulting from mismatched rotors in size and aerodynamic effects. Various low-level flight controller algorithms will be developed and compared for position, velocity and attitude control, taking into account nonlinear effects.
Prof. Dr. Ferat SAHIN, Rochester Institute of Technology, USA
Dr. Ferat Sahin received his M.Sc. and Ph.D. degrees from Virginia Polytechnic Institute and State University. In September 2000, he joined Rochester Institute of Technology, where he is a Professor. He is also the director of Multi Agent Bio-Robotics Laboratory at RIT. His current research interests are System of Systems Simulation and Modeling, Swarm Intelligence, Robotics, MEMS Materials Modeling, MEMS-based Microrobots, Micro Actuators, Distributed Computing, Decision Theory, Pattern Recognition, Distributed Multi-agent Systems, and Structural Bayesian Network Learning. In addition to conference and journal publications in these areas, he is also the co-author of two books: “Experimental and Practical Robotics” and “Intelligent Control Systems with an Introduction to System of Systems Engineering” by CRC Press. Dr. Sahin has been a reviewer for leading journals and conferences in both the IEEE and other organizations. He serves as the Deputy Editor-in-Chief for International Journal of Computers and Electrical Engineering and as an Associate Editor for IEEE Systems Journal and AutoSoft Journal. He is a member of the IEEE Systems, Man, and Cybernetics Society, Robotics and Automation Society, and Computational Intelligence Society.
Locally, Dr. Sahin has served as Secretary (2003) and section Vice-chair (2004 and 2005) in the IEEE Rochester Section. He has also been the Faculty Advisor of IEEE student chapter at Rochester Institute of Technology from 2001 to 2003. He has served as the Student Activities chair for the IEEE SMC Society in 2001, 2002, and 2003. He was the Secretary of the IEEE SMC Society from 2003 to 2006. Dr. Sahin received an “Outstanding Contribution Award” for his service as the SMC Society Secretary. He also served as the Treasurer of the IEEE SMC Society in 2011. He is also a member of the SMC Strategic Opportunities and Initiatives Committee and the SMC Technical Committee on System of Systems Engineering. He was the Publication Co-Chair for the IEEE SMC International Conference on System of Systems Engineering (SOSE 2007),as the Technical Co-chair of the IEEE International Conference on System of Systems Engineering (SOSE 2008 and SOSE 2009), and the general chair of SOSE 2011 conference and is the general co-chair of SoSE2013.
Speech Title: Effective Human Robot Collaboration through Dynamic Safety Index with Intrinsic Range Sensors
Abstract: Industrial robots have been designed to be strong, precise, fast and robust. They are used to perform tasks that are otherwise dangerous, time consuming, repetitive, or outside the desire or capability of a human. Automating and industrial system using robots increases the overall productivity of tasks. However, the use of robots in industry increases the risk of human injury due to the lack of any inherent intelligence. This is one of the biggest reasons that robots work in safeguarded cells or have safety zones demarcated by using sensors. In recent years, the industry moves away from the concepts of ‘mass production’, and towards the concept of ‘mass customization’ because of the increased number of product variants and product upgrades, resulting in the decrease of the product lifetime. Thus, there is a need for efficient handling of large variants in the production and a short product lifetime. The common solution accepted today is to move towards manual production to countries with relatively cheap labor. Manual production can handle high number of product variants as there is more flexibility of customization of the production process. However, the manual production is slow and thereby has lower productivity and smaller lot size.
The Human Robot Interaction (HRI) in the our framework will address increasing productivity in the workplace. Increased production of a human-robot collaborative task has the challenges of human trust in automation and robot’s compliance to human. The crucial aspect of such an HRI is a strict constraint of human safety. In a workspace shared by human and robots, the main cause of injury is human-robot collision. The framework describes a system that will adaptively control the movements of the robot by monitoring the human actions through intrinsic range sensors and the surrounding workspace. Here the objective of the system is to develop a robot behavior model with the aim of optimizing the productivity of the given robot task while ensuring human safety. This research hopes to develop ways for a symbiotic relationship between humans and robots, that would result in robots transition from ‘tools’ to ‘teammates’. A robot behavior that is intelligently human compliant would help increase the productivity of a task and also allow development of new ideas and process for automation based on safe and efficient human-robot collaboration.
Prof. Dr. Cengiz TAPLAMACIOĞLU, Gazi University, Turkey
Dr. M.Cengiz TAPLAMACIOGLU graduated from Department of Electrical and Electronics Engineering, Faculty of Engineering, Gazi University (Ankara, Turkey). He received the degrees of M.Sc. in Industrial Engineering from Gazi University and in Electrical and Electronics Engineering from Middle East Technical University (METU- Ankara, Turkey) and received the degree of Ph.D. in Electrical, Electronics and System Engineering from University of Wales (Cardiff, UK). He has been a full time Professor of the Electrical and Electronics Engineering since 2000. His research interests and subjects are power systems, high voltage engineering, corona discharge and modeling, electrical field computation, measurement and modeling techniques, optical HV measurement techniques, power systems optimization and control, protection systems , lighting technics and applications.
Current Situation of Renawable Energy Sources in Turkey
Abstract: Electrical energy networks have become one of the world's most complex and comprehensive systems. Any change in the system like excess generation or loss of load affects the whole energy network. On the other hand, the use of renewable energy sources as green energy is rapidly spreading to the world. As the installed power capacity of these sources increases, its integration into the existing electricity grid has become a major problem. In this paper, Turkey’s renewable energy potential is summarized and the challenges related to the integration problem have been considered in terms of Turkey electric energy network. Finally, some basic solution proposals are suggested.