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Reliable Hand Camera based Book Detection and Manipulation in Library Scenario

机译:基于手机的可靠手机图书馆场景的书籍检测和操纵

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In this paper a new approach for detection, grasping and placing of books is described. The location as well as book's size, color and textures are unknown. Therefore the autonomous book detection and grasping is a big challenge. In this work, the proposed approach is implemented in the scope of a library scenario in which a service robotic system operates. The proposed approach uses stereo vision for coarse approach to the next book, which should be grasped, and a hand camera (mounted on the gripper) based positioning strategy to achieve a high success rate of grasping. The full concept was implemented and tested on the service robot FRIEND. It should support a handicapped person to work and to perform all manipulative tasks. These contain the autonomous book detection on a book cart, the grasping and placing of the book on a book holder and later onto the cart again. The benefit of our approach is documented based on experimental results.
机译:在本文中,描述了一种用于检测,抓握和放置书籍的新方法。位置以及书的尺寸,颜色和纹理是未知的。因此,自主书检测和抓握是一个很大的挑战。在这项工作中,所提出的方法是在服务机器人系统运行的图书馆场景的范围内实施。所提出的方法使用立体声视觉进行粗糙的方法,即将掌握的下一本书,以及基于手机(安装在夹具上)的定位策略,以实现抓握的高成功率。完整的概念是在服务机器人朋友上实施和测试。它应该支持一个有残障人士的工作和执行所有操纵任务。这些包含在书购物车上的自主书籍检测,抓住书籍持有人,然后再次放在购物车上。根据实验结果记录了我们方法的好处。

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