DSP based uncalibrated visual servoing for a 3-DOF robot manipulator

Chi-Ying Lin, Ping-Jung Hsieh, Fu-An Chang
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引用次数: 3

Abstract

This paper presents a DSP based online camera calibration procedure when camera position is changed. It is known that classical image based visual servo control scheme has some problems, e.g., image space singularities and local minima. To tackle this issue this study applied a virtual composite camera model and a 3D visual Cartesian space to calculate the full-rank image Jacobian for visual tracking control. The advantage of this approach is that the image Jacobian obtained will be always non-singular for robustness. This research employed a distributed embedded system including two DSP boards to implement the above visual servo algorithm. The experimental results demonstrate that the proposed visual servo system is feasible in an embedded system.
基于DSP的三自由度机械臂无标定视觉伺服
提出了一种基于DSP的摄像机位置变化在线标定方法。传统的基于图像的视觉伺服控制方法存在图像空间奇异性和局部极小性等问题。为了解决这一问题,本研究采用虚拟复合摄像机模型和三维视觉笛卡尔空间计算图像的全秩雅可比矩阵进行视觉跟踪控制。该方法的优点是得到的图像雅可比矩阵总是非奇异的,具有较好的鲁棒性。本研究采用包含两块DSP板的分布式嵌入式系统来实现上述视觉伺服算法。实验结果表明,该视觉伺服系统在嵌入式系统中是可行的。
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