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    Robustness of A biped robot controller developed by human expertise extraction against changes in terrain

    , Article Proceedings of the IASTED International Conference on Artificial Intelligence and Applications (as part of the 22nd IASTED International Multi-Conference on Applied Informatics, Innsbruck, 16 February 2004 through 18 February 2004 ; 2004 , Pages 68-73 ; 088986375X (ISBN); 9780889863750 (ISBN) Tabrizi, S. S ; Bagheri, S ; IASTED ; Sharif University of Technology
    2004
    Abstract
    Controlling dynamic biped robots is a complex challenge. Almost all researches in this field assume that the internal structure and dynamics of the robot is known to the controller. But in real-world problems we don't have exact model of the robot or this model is very complicated and is not useful in real-time control. As a matter of fact, we use many devices without any knowledge about their internal structure or analytical models. Some researchers used learning algorithms to control bipeds, but their performance is not comparable to human's learning. Fuzzy controllers can control the bipeds with lower cost, but they need sufficient rules. In the previous works we proposed a linguistic... 

    Control a Double Inverted Pendulum Using Active Learning Method

    , M.Sc. Thesis Sharif University of Technology Ghomi Rostami, Mohammad (Author) ; Bagheri Shouraki, Saeid (Supervisor)
    Abstract
    There are lots of researches performed to investigate human being learning and try to model it. But, in case of huge complexity of its structure and function, almost none of so-far learning algorithms can model human learning process and, indeed, performance of human brain in real problems is much more than these algorithms. Moreover, in many cases, human is not aware or informed about internal structure or mathematical model of the present system he is working on; a child learning to walk has no information about his neuromuscular system and his brain slowly learns how to convey his little body by choosing the proper timing of muscle contractions. One of the accomplished researches in order... 

    , M.Sc. Thesis Sharif University of Technology Mohammadi Zand, Ramtin (Author) ; Bagheri Shouraki, Saeed (Supervisor)
    Abstract
    Controlling four legged robots is a complex challenge. The previous works in this field can be divided into two main categories, Analytic method and intelligence method. The analytic method is based on extracting the motion equations of the robot, but in most cases these equations are so complicated, and their implementation is difficult. Another method is intelligence method, which is based on learning algorithms. Despite the improvements in walking robots field, still their walking quality is far from human and animal walking. Researchers believe that this advantage is the result of the learning ability in animals and human. Therefore in this paper the human learning ability is used to... 

    Designing a fuzzy logic controller for a quadruped robot using human expertise extraction

    , Article 2013 21st Iranian Conference on Electrical Engineering, ICEE 2013 ; 2013 , 14-16 May ; 9781467356343 (ISBN) Zand, R. M ; Shouraki, S. B ; Sharif University of Technology
    2013
    Abstract
    Many actions have been taken by researchers to design an appropriate controller for a quadruped robot. These efforts can be divided into two main categories: analytical and intelligent methods. The analytical method is based on the motion equations of the robot which are mostly complicated. These complication leads to difficulty in implementation. In contrast, there exists intelligent method which is based on the learning algorithms. Despite lots of improvements in the controlling of the quadruped robots, their ability of walking is still far less from the four legged animals' capability. Many researchers believe that four legged animals owe this priority to the learning attribute. Therefore...