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  • 1.
    Edstorp, Marcus
    et al.
    University West, Department of Technology, Mathematics and Computer Science.
    Eriksson, Kenneth
    University West, Department of Technology, Mathematics and Computer Science.
    Modelling and Simulation of Moving Boundaries and Convective Heat Transfer in Non-Autogenous Fusion Weld Pools using FEMLAB 3.12005In: Proceedings of the FEMLAB CONFERENCE 2005, 2005, p. 85-90Conference paper (Other academic)
  • 2.
    Lindström, David
    et al.
    University West, Department of Engineering Science, Division of Mechanical Engineering and Natural Sciences.
    Eriksson, Kenneth
    University West, Department of Engineering Science, Division of Mechanical Engineering and Natural Sciences.
    A surrogate model based global optimization method2008In: 38th International Conference on Computers and Industrial Engineering 2008, 2008, p. 226-232Conference paper (Refereed)
    Abstract [en]

    A new surrogate model based algorithm for global optimization is derived. A metamodel such as a kriging model or a radial basis function model is used to build an interpolant of the objective function. Evaluation points are chosen in such a way that local search and global exploration is balanced. Instead of putting the next point exactly where it is most likely to find the global optimum, the new method also prepares for steps to come by minimizing the total uncertainty of the interpolated function within the most interesting areas of the search space.

  • 3.
    Ryberg, Anders
    et al.
    University West, Department of Technology, Mathematics and Computer Science, Division for Electrical Engineering and Land Surveying.
    Christiansson, Anna-Karin
    University West, Department of Technology, Mathematics and Computer Science, Division for Electrical Engineering and Land Surveying.
    Eriksson, Kenneth
    University West, Department of Engineering Science, Divison of Natural Sciences, Surveying and Mechanical Engineering.
    Accuracy Investigation of a Vision Based System for Pose Measurements2006In: Control, Automation, Robotics and Vision, 2006. ICARCV '06. 9th International Conference on, 2006, p. 1-6Conference paper (Other academic)
    Abstract [en]

    The accuracy of a pose measurement system, called PosEye, is investigated. PosEye is a system for real time measurement of the position and orientation, the pose, of a camera (sensor) using the information in its image. This sensor is aimed to be mounted on an industrial robot for welding. The investigation was done by comparing the PosEye system position output to that of a coordinate measuring machine. Sources of errors are identified, and suggestions for improvements are made

  • 4.
    Ryberg, Anders
    et al.
    University West, Department of Engineering Science.
    Christiansson, Anna-Karin
    University West, Department of Engineering Science.
    Lennartson, Bengt
    University West, Department of Engineering Science, Division of Production System.
    Eriksson, Kenneth
    University West, Department of Engineering Science, Division of Mathematics, Computer and Surveying Engineering.
    Camera Modelling and Calibration - with Applications2008In: Computer Vision / [ed] Zhihui, X., Vienna: I-Tech Education and Publishing , 2008, p. 303-332Chapter in book (Other academic)
  • 5.
    Ryberg, Anders
    et al.
    University West, Department of Engineering Science, Division of Production Engineering.
    Ericsson, Mikael
    University West, Department of Engineering Science, Division of Production Engineering.
    Christiansson, Anna-Karin
    University West, Department of Engineering Science, Division of Production Engineering.
    Eriksson, Kenneth
    University West, Department of Engineering Science, Division of Land Surveying and Mathematics.
    Nilsson, Jim
    University West, Department of Engineering Science.
    Larsson, Matthias
    University West, Department of Engineering Science.
    Stereo vision for path correction in off-line programmed robot welding2010In: Proceedings of the IEEE International Conference on Industrial Technology, 2010, p. 1700-1705Conference paper (Refereed)
    Abstract [en]

    The paper describes a versatile machine vision system for correcting off-line programmed nominal robot trajectories for advanced welding. Weld trajectory corrections are needed due to slight variations in weld joints. Such variations occur naturally because of varying tolerances in parts and to heat induced deformations during earlier weld sequences. The developed system uses one camera and a weld tool mounted on the robot hand. As a first step, the whole system, including the camera, is calibrated. Then the system takes images of the weld joint from different positions and orientations, and determines the weld joint geometry in 3D using a stereo vision algorithm and a novel camera model. The weld trajectory is then updated in the robot control system, and weld operation is performed. These steps are repeated for all weld sequences of the work piece. The strategy has successfully been demonstrated for a standard industrial welding robot and a standard FireWire CMOS camera. The maximum deviation of the trajectory found by the system compared to a reference (coordinate measuring machine) is 0.7 mm and the mean deviation is 0.23 mm. Thus, the system shows high potential for industrial implementation. ©2010 IEEE.

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