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Spatial Programming for Industrial Robots through Task Demonstration

机译:通过任务演示为工业机器人进行空间编程

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Abstract We present an intuitive system for the programming of industrial robots using markerless gesture recognition and mobile augmented reality in terms of programming by demonstration. The approach covers gesture-based task definition and adaption by human demonstration, as well as task evaluation through augmented reality. A 3D motion tracking system and a handheld device establish the basis for the presented spatial programming system. In this publication, we present a prototype toward the programming of an assembly sequence consisting of several pick-and-place tasks. A scene reconstruction provides pose estimation of known objects with the help of the 2D camera of the handheld. Therefore, the programmer is able to define the program through natural bare-hand manipulation of these objects with the help of direct visual feedback in the augmented reality application. The program can be adapted by gestures and transmitted subsequently to an arbitrary industrial robot controller using a unified interfac...
机译:摘要:我们提出了一个直观的工业机器人编程系统,该系统使用无标记手势识别和移动增强现实技术进行了演示编程。该方法涵盖了通过人类演示进行基于手势的任务定义和适应,以及通过增强现实进行任务评估。 3D运动跟踪系统和手持设备为提出的空间编程系统奠定了基础。在本出版物中,我们提出了一个对由几个拾取和放置任务组成的装配序列进行编程的原型。场景重建借助手持设备的2D摄像机提供已知对象的姿态估计。因此,程序员可以在增强现实应用程序中借助直接的视觉反馈,通过自然地裸手操作这些对象来定义程序。该程序可以通过手势进行调整,并随后使用统一的界面传输到任意工业机器人控制器。

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