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New design of visual servoing using an uncalibrated camera and a calibrated robot

机译:使用未校准相机和校准机器人的目视伺服设计

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In this paper we deal with visual servoing that can control a robot arm with a camera using information of images only, without estimating 3D position and rotation of the robot arm. Here it is assumed that the robot arm is calibrated and the camera is uncalibrated. We use a pinhole camera model as the camera one. The essential notion can be show, that is, epipolar geometry, epipole, epipolar equation, and epipolar constrain. These play an important role in designing visual servoing. For easy understanding of the proposed method we first show a design in case of the calibrated camera. The design is constructed by 4 steps and the directional motion of the robot arm is fixed only to a constant direction. This means that an estimated epipole denotes the direction, to which the robot arm translates in 3D space, on the image plane.
机译:在本文中,我们处理可视伺服,可以使用仅使用图像信息的相机控制机器人臂,而无需估计机器人臂的3D位置和旋转。这里假设机器人臂被校准,并且相机是未校准的。我们使用针孔相机模型作为相机。可以展示基本观念,即末极几何,骨骺,骨头方程和末极约束。这些在设计视觉伺服方面发挥着重要作用。为了简单地理解所提出的方法,我们首先在校准相机的情况下显示设计。该设计由4个步骤构成,并且机器人臂的方向运动仅固定为恒定方向。这意味着估计的凸起表示在图像平面上的机器人臂在3D空间中转换的方向。

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