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Vision planning for grasping of unknown 3-dimensional objects using a two-fingered parallel-jawed gripper.

机译:使用两指平行下颌抓爪抓取未知3维物体的视觉规划。

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摘要

Vision planners used for grasping attempt to either recognize or reconstruct the object to be grasped. Recognition systems, while needing only a few images, have difficulty with unknown objects, and reconstruction systems, while being able to grasp unknown objects, require several images to construct a CAD level model of the object. By incorporating the grasp planner with the view planner, a system is developed that can grasp unknown three-dimensional objects while generally requiring only a few images. In the worst case, the required number of views is the same as in view planning for reconstruction.; A system using off-the-shelf components without relying upon structured light, lasers, or a stereo camera system is proposed. The system is modeled for a basic five degree-of-freedom MICROBOT TeachMover robot equipped with a black-and-white pinhole camera mounted on a compliant two-fingered parallel-jawed gripper. Three-dimensional images are obtained from projecting points in the workspace back into the image space as the robot moves relative to the desired object. The surface of the object is assumed to be matte and free from specular reflections and shadows. As the surface of the object is being modeled, a grasp plan is formulated for an antipodal grasp. The planned grasp is to be stable enough to resist gravity and to maximize the chance of gripping the object successfully given errors in the system. During the planning, a constant density and hardness of the object is assumed since these parameters are not known a priori and cannot be determined visually. The position for the next best view is determined by the view location that will most likely acquire the missing information required to a stable grasp. Only grasps for the general task of transporting, sorting, removal, or reorientation for further inspection; rather than for fine manipulation, are considered.; The minimal view criteria for grasping an object are given and it is shown that any shape can be held by a compliant two-fingered parallel jawed gripper. Using the view criteria and view planning system it is possible to predict the number of required views necessary to plan a stable grasp of a given object.
机译:用于抓握的视觉计划器试图识别或重建要抓握的物体。识别系统虽然只需要几张图像,但对未知对象有困难,而重建系统虽然能够掌握未知对象,却需要几张图像来构建对象的CAD级模型。通过将抓取计划器与视图计划器结合在一起,开发了一种系统,该系统可以抓取未知的三维对象,而通常只需要几张图像。在最坏的情况下,所需的视图数量与重建视图的计划相同。提出了一种使用现成的组件而不依赖结构化光,激光或立体相机系统的系统。该系统以基本的五自由度 MICROBOT TeachMover 机器人为模型,该机器人配备了黑白针孔摄像头,该摄像头安装在顺应性的两指平行下颌抓爪上。随着机器人相对于所需对象的移动,从工作空间中的投影点获得的三维图像又回到了图像空间。假定对象的表面是无光泽的并且没有镜面反射和阴影。在对物体的表面进行建模时,制定了抓地计划以进行对立抓地。计划中的抓取应足够稳定以抵抗重力,并在系统出现错误的情况下最大程度地成功抓住对象。在计划过程中,假定对象的密度和硬度恒定,因为这些参数先验未知,并且无法通过视觉确定。下一个最佳视图的位置由视图位置确定,该位置很可能会获得稳定掌握所需的丢失信息。仅掌握运输,分类,搬运或重新定位以进行进一步检查的一般任务;而不是进行精细操作。给出了用于抓握物体的最小视线标准,并且显示出任何形状都可以由顺应性的两指平行颚式抓取器保持。使用视图标准和视图计划系统,可以预测计划对给定对象的稳定把握所需的所需视图数。

著录项

  • 作者

    Deffenbaugh, Grant W.;

  • 作者单位

    Rensselaer Polytechnic Institute.;

  • 授予单位 Rensselaer Polytechnic Institute.;
  • 学科 Engineering Electronics and Electrical.
  • 学位 Ph.D.
  • 年度 2003
  • 页码 107 p.
  • 总页数 107
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 无线电电子学、电信技术;
  • 关键词

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