Electrical - Electronic Engineering / Elektrik - Elektronik Mühendisliği

Permanent URI for this collectionhttps://hdl.handle.net/11147/11

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  • Conference Object
    Citation - Scopus: 5
    Adaptive Visual Servo Regulation Control for Camera-In Configuration With a Fixed Camera Extension
    (Institute of Electrical and Electronics Engineers Inc., 2007) Tatlıcıoğlu, Enver; Dawson, Darren M.; Xian, B.
    In this paper, image-based regulation control of a robot manipulator with an uncalibrated vision system is discussed. To compensate for the unknown camera calibration parameters, a novel prediction error formulation is presented. To achieve the control objectives, a Lyapunov-based adaptive control strategy is employed. The control development for the camera-in-hand problem is presented in detail and a fixed-camera problem is included as an extension.
  • Conference Object
    Yapısal Aydınlatma Kullanarak Yüzeylerin Geometrik ve Yansıtıcılık Özelliklerinin Geri Çatımı
    (Institute of Electrical and Electronics Engineers Inc., 2015) Ozan, Şükrü; Gümüştekin, Şevket
    It is not possible to perform a robust and dense surface reconstruction for plain colored surfaces which have insufficient surface features, and for surfaces which have specularity effect because of the material nature by using traditional stereo imaging methods. The proposed surface scanner system in this work makes it possible to get a robust and dense surface reconstruction even for plain colored and/or semi glossy surfaces. Reflection properties of the surface material are also reconstructed to some extent by using the information gathered after scanning process. Moreover, the experimental results are shown.
  • Article
    Citation - WoS: 4
    Citation - Scopus: 4
    Adaptive Visual Servo Regulation Control for Camera-In Configuration With a Fixed Camera Extension
    (ACTA Press, 2009) Tatlıcıoğlu, Enver; Dawson, Darren M.; Xian, B.
    In this paper, image-based regulation control of a robot manipulator with an uncalibrated vision system is discussed. To compensate for the unknown camera calibration parameters, a novel prediction error formulation is presented. To achieve the control objectives, a Lyapunov-based adaptive control strategy is employed. The control development for the camera-in-hand problem is presented in detail and a fixed-camera problem is included as an extension.