基于视觉的特种机械臂目标识别与定位
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国家自然科学基金(11472008)


Target Recognition and Orientation of Special Mechanical Arm Based on Vision
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    摘要:

    针对特种机械臂在复杂环境下对危险品抓取的准确性与实时性需求,提出一种利用视觉信息识别定位的 方法。给出基于单双目视觉系统结合的识别定位策略,采用颜色分割、开闭运算、边缘轮廓检测和特征匹配完成单 目视觉算法,通过立体标定、立体校正和深度计算完成双目视觉算法;根据齐次变换得出的目标物体位置信息对机 械臂进行关节转动角度求解,利用角度阈值范围得出最优解;并通过目标物体位姿测量实验和抓取操作进行验证。 验证结果表明:该方法是可行和合理的,能实现目标物体的实际抓取。

    Abstract:

    In order to satisfy accuracy and real-time needs of special mechanical arm fetching dangerous goods in the complex environment, research method of using visual information to identify and orientate is proposed. A visual recognition and positioning strategy based on a single and binocular combination is presented. The color segmentation, opening and closing operations, edge contour detection and feature matching are used to complete the monocular vision algorithm. The stereo calibration, stereo correction and depth calculation are used to complete the binocular vision algorithm. According to the position information of the target object obtained by the homogeneous transformation, special mechanical arm is used to solve the joint rotation angle, and the optimal solution is obtained by using the angle threshold range, and through the target object pose measurement experiment and grasping operation to verify. The verification results show that the method is feasible and reasonable, and can achieve the actual fetching of the target.

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黎宏久,张志安,朱 朔.基于视觉的特种机械臂目标识别与定位[J].,2018,37(09).

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历史
  • 收稿日期:2018-06-17
  • 最后修改日期:2018-07-21
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  • 在线发布日期: 2018-11-05
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