Browsing by Author "Araz,M."

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    Petri Net Modeling and Simulation of Walking Behaviour for Design of a Bioinspired Robot Dog
    (SciTePress, 2016) Erden,Z.; Araz,M.
    Research in behavior-based design faces many challenges regarding the AIDS in conceptual design of biorobots, representation of a biological system,s behavior in a well formed modeling tool and therefore providing systematic transformation of this behavior into robot design. This paper reports a research that focuses on the development of a Petri Net model to represent a biological system,s behavior. The model is based on real time data collected from an experiment in which a dog is walking on a treadmill with a speed of 1km/h. The model has the ability of simulating the real time rhythm of dog's walking behavior utilizing colors and numbers as well as the step-by-step simulation. The aim is to observe the behavior of a walking dog in time domain as an early stage of conceptual design of a bioinspired robot dog. Main challenge is to develop a methodology to guide designer towards more creative designs based on bioinspired design ideas. The presented work is an early attempt to initiate a systematic approach towards the stated goal. © Copyright 2016 by SCITEPRESS - Science and Technology Publications, Lda. All rights reserved.
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    Preliminary Design of a Novel Kinematic Forearm Model for Pro/Supination Motion
    (Institute of Electrical and Electronics Engineers Inc., 2020) Araz,M.; Kentel,B.B.
    Forearm rotation is used in many daily activities, and its analysis may be needed for clinical, sports or robotic purposes. Therefore, modelling and simulation of the forearm motion is required. Due to its complexity, the forearm motion may be modelled in different ways. In this study, we proposed a preliminary design of a kinematic forearm model that will mimic pronation/supination (PS) movement in more realistic way. This model includes a moving rotation axis (MRA) about which the forearm rotates as PS motion. The results obtained from the preliminary design shows that rotating the arm around the MRA can give accurate and realistic hand location results. Furthermore, this model can be modified easily for subject-specific studies to obtain more accurate results. © 2020 IEEE.