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Multi-camera 3D Object Reconstruction for Industrial Automation

机译:用于工业自动化的多摄像机3D对象重建

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In this paper, a method to automate industrial manufacturing processes using an intelligent multi-camera system to assist a robotic arm on a production line is presented. The examined assembly procedure employs a volumetric method for the initial estimation of object’s properties and an octree decomposition process to generate the path plans for the robotic arm. Initially, the object is captured by four cameras and its volumetric representation is produced. Thereafter, a quality check with its respective CAD model is performed and the final details of the 3D model are refined. An octree decomposition technique is utilized afterwards to facilitate the automatic generation of the assembly path plans and translate them to a sequence of movements for the robotic arm. The algorithm is fast, computationally simple and produces an assembly sequence that can be translated to any major robotic programming language. The proposed algorithm is assessed and preliminary experimental results are discussed.
机译:在本文中,提出了一种使用智能多摄像机系统自动化工业制造工艺的方法,以帮助在生产线上提供机器人手臂。检查的组装过程采用体积方法,用于初始估计对象的属性和八角分解过程,以生成机器人臂的路径计划。最初,该对象被四个摄像机捕获,并且产生其体积表示。此后,执行具有其各自CAD模型的质量检查,并精确到3D模型的最终细节。之后使用八叉分解技术,以便于自动生成组装路径计划并将它们转换为机器人臂的一系列运动。该算法快速,计算方式简单,并产生可以转换为任何主要机器人编程语言的装配序列。评估所提出的算法,并讨论了初步实验结果。

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